Register Today and Receive Access to the Live and/or On-Demand Event.
Live: 6 May, 10:00 a.m. – 2:00 p.m. EDT (UTC-4, New York Time)
Live: 7 May, 2:00 – 5:30 p.m. EDT (UTC-4, New York Time)
On Demand: 31 May 2026 – 31 May 2027
How to Access the On-Demand Summit
An email with links and instructions on how to access the on-demand summit went out 10 April from ILA Conferences conferences@ilaglobalnetwork.org. If you did not receive this email, please contact conferences@ilaglobalnetwork.org to be sent the access links and instructions. If you registered for on-demand access after that time, the access instructions were in your registration confirmation email.
Invitation to Attend
Drs. Mary Tabata and Dan Jenkins, Co-Chairs of ILA’s 2026 AI & Leadership Virtual Summit, share more about the summit and why they’re excited for this year’s program.
ABOUT
The International Leadership Association warmly invites all visionary leaders, ethicists, researchers, educators, HR professionals, and anyone passionate about the future of leadership development and artificial intelligence to join our 2nd Virtual Summit on AI, taking place 6-7 May 2026.
This prestigious event is dedicated to exploring how AI is transforming our work and uncovering new opportunities for collaboration across sectors. Building on the momentum of last year’s successful summit, this year’s theme, The Integration Frontier: Leading With AI Across Sectors, reflects our commitment to guiding and supporting the ethical, inclusive, impactful, and responsible adoption of AI.
Areas of AI leadership that we are excited to explore are leadership development, mentorship, employee training and retraining/skilling, Ethical, Inclusive, Responsible AI, AI literacy, and redefining leadership capabilities, innovation, productivity, and R&D.
We welcome your participation and interest in presenting or serving as a panelist as we come together to share insights, inspire one another, and shape the future of leadership in the age of artificial intelligence.
Agenda Overview, Concurrent Sessions, and Speaker Information forthcoming.
REGISTRATION
| Type | Live & On-Demand | On-Demand ONLY |
|---|---|---|
|
ILA Member |
$95 |
$50 |
|
ILA Student Member |
$85 |
$50 |
|
Non-Member & Student Non-Member |
$135 |
$70 |
Registering a group of people and need an invoice? Contact our conference registrar at jporter@ilaglobalnetwork.org.
Cancellations
Registration is non-refundable.
Conference Model
Our conference operates on a community model where all participants—whether presenting or attending—register for the event. As a nonprofit membership organization, this approach allows us to keep costs reasonable while creating a space where everyone contributes to and benefits from our collective knowledge. We don’t offer speaker fees or complimentary registrations for concurrent sessions because we see presentations as part of the collaborative exchange that makes our community valuable. All concurrent session presenters also participate in the broader conversation, learning from colleagues and connecting with peers. This model helps us sustain our programs while reinforcing that we’re all here together, sharing our work and growing as a community.
Being in Community With One Another
When we enter into the trusted space of the ILA, we are making a commitment to be in community with a diverse group of learners from around the world.
The most powerful lever for change is in how we relate to, and connect with, one another, especially across differences.
Connections are created and nurtured as we share our experiences and learn from the experiences and perspectives of others. This engenders a feeling of belonging that nourishes our creativity and advances our collective purpose of advancing the practice and study of leadership for a just and thriving future.
Being in community with one another at an ILA event is not just a vision, it is a leadership practice. Each person who enters this trusted space shares the responsibility to create an environment where everyone is respected and valued.
Attendee Remarks and Comments
Furthermore, I warrant that within the event space, my comments, both written and oral, will not violate any proprietary or personal rights of others (including any copyright, trademark, and privacy rights). They will be factually accurate and contain nothing defamatory or otherwise unlawful.
Recording
This question pertains to a registrant’s participation as an attendee at the live event. As an attendee, I am aware that the event will be recorded. As an attendee, I understand that by registering, I consent to the recording of my image, voice, name, and any content I provide, including logos, trademarks, comments, questions, or chats. I consent to the future use of this recording for promotional or educational purposes by ILA, its agents, and its authorized third parties, in whole or in part. Note: If you are also a presenter, you will be (or have been) sent a separate form with additional options regarding the presentation aspect of your participation.
Conference Incentives
The ILA may occasionally choose to offer a conference incentives in the form of discount codes. Please note, these are only valid at the time of the initial purchase/ completion of the registration form. Refunds will not be provided for existing registrations if the incentive offer is received after the initial purchase. There is a limit of 1 incentive per registrant.
AGENDA OVERVIEW
6 May 2026 - All Times EDT (UTC-4, New York Time)
10:00-11:00
Welcome & Keynote
11:15 – 12:15
5 Breakout Sessions
12:30 – 13:30
5 Breakout Sessions
13:45 – 14:00
Day 1 Closing & Look Ahead
7 May 2026 - All Times EDT (UTC-4, New York Time)
14:00 – 15:00
5 Breakout Sessions
15:15 – 16:15
5 Breakout Sessions
16:30 – 17:30
Closing Keynote & Summit Close
Scroll down for details!
FEATURED SPEAKERS
Scroll or jump to complete bios.
DETAILED AGENDA (DRAFT)
6 May 2026 - All Times EDT (UTC-4, New York Time)
10:00 – 11:00 a.m.
Welcome & Plenary Panel
Dr. Hany Shoukry
Dr. Hany Shoukry is a Technology, Product & AI Executive with 25+ years leading mission-critical platforms, large-scale operations, and enterprise transformation across complex, regulated environments. He specializes in operating and transforming complex systems at scale, integrating Product, Technology, Data and Operations to deliver measurable improvements in reliability, experience and productivity. He is the 2026 recipient of the Coaching for Social Good Award, presented by the Institute of Coaching at Harvard Medical School.
Description forthcoming.
11:15 a.m. -12:15 p.m.
Breakout Sessions
Room 1 – Presentations
Human Intelligence in the Growing Era of Artificial Intelligence: A Leadership Imperative
As AI becomes embedded in organizational life, the differentiator isn’t artificial intelligence — it’s human intelligence. Today’s workforce carries new psychological expectations from its leaders: more empathy, more presence, more intentionality. This session examines shifting workplace dynamics and makes the case that a distinctly human leadership approach isn’t just good practice — it’s a competitive advantage.
Edwin Mouriño, Ph.D. Adjunct Professor; President and Founder, Human Intelligent(HI)Workplace
Complexity of AI Leadership & Roles
AI is reshaping global leadership roles — and the results so far have been mixed. As humans and machines increasingly collaborate, trust has become a critical leadership currency. This session synthesizes existing research on leadership competencies to identify what it actually takes to lead responsible AI adoption. The goal: move the conversation on leadership development from speculation to evidence, equipping leaders with the competencies that matter most in an AI-driven world.
Katja Schroeder, Global Leadership Communications Consultant; Ph.D. student, Global Leadership, Troy University
Human Intelligence in the Growing Era of Artificial Intelligence: A Leadership Imperative
In the growing era of AI, organizations are going to need leaders that demonstrate HI (human intelligence). This workshop will highlight how today’s trends, including the changing workforce psychology is going to need an increased human touch and focus from its leaders. This session will address these changing workforce and workplace issues and how effective leadership will be key to give organizations a competitive edge. Today’s workforce has different expectations from its leaders. This session will address these issues with recommendations.
Complexity of AI Leadership & Roles
The rise of artificial intelligence (AI) platforms and tools is increasing the complexity of the global leadership context and roles. AI is transforming operations, stakeholder engagement models, and entire work environments in organizations, creating both opportunities and challenges for global leaders as they navigate their teams to an AI-driven business environment. To date, AI implementations in organizations have achieved mixed results and establishing trust has become more important in an organizational environment in which humans and machines collaborate. The session will present a summary and analysis of existing studies on leadership competencies to lead organizations in the age of AI. The presentation aims to contribute to the discussion on leadership development, and which leadership competencies are critical to responsibly lead AI adoption processes.
Room 2 – Panel
Panel Turbocharge your Teaching
Description forthcoming
Panelists
Dan Jenkins, PhD, Co-Chair, ILA AI & Leadership Virtual Summit; Professor of Leadership & Organizational Studies, University of Southern Maine
Cris Wildermuth, Director, B.S. in Organizational Leadership and M.S. in Leadership and Innovation at Barry University. Professor of Leadership.
Mary Tabata, Ph.D., Co-Chair ILA AI & Leadership Virtual Summit; Adjunct Faculty and AI Concentration Lead, Eastern University College of Business & Leadership
Kevin Bottomley, Ph.D., Assistant Professor, PhD in Global Leadership Program, Indiana Tech
Rooms 3 – Presentations
Enterprise Modeling Framework
When complexity, polarization, and uncertainty converge, traditional decision-making frameworks break down. This session introduces an AI-driven enterprise modeling framework — grounded in complex systems theory and built on principles of ontology engineering, causality, explainability, and transparency — that helps leaders rapidly explore scenarios, assess risk, and reconcile competing perspectives. The goal: move AI beyond automation toward genuine augmentation, reshaping leadership capability for environments where the signals are weak, uncertainty is rife, and the stakes are high.
Daniel Tembinkosi Semway, Ph.D., Senior Consultant, Ontolligent; Southern Africa Liaison, W.K. Kellogg Foundation Global Fellows Network
ETHOS Framework for AI Literacy & Implementation
Billions are flowing into AI, yet 95% of pilots report zero ROI. The gap isn’t technical — it’s leadership. This session introduces the ETHOS Framework — Ethics, Transparency, Humanity, Openness, and Stakeholders — a values-driven model for sustainable AI adoption drawn from research on globally recognized nonprofits. Participants leave with practical strategies for building AI literacy, creating coalitions, and cultivating organizational humility: the capacity to sit with uncertainty and still lead with purpose.
Kathleen Scott, Postdoctoral Fellow, Pepperdine Excellence Postdoctoral Project for Equity Research (PEPPER), Pepperdine University; Consultant @ Cisco, Microsoft, Amazon, and others
Enterprise Modeling Framework
In an era defined by accelerating change and deepening polarization of perspectives, traditional dialectical models—where thesis and antithesis converge toward synthesis—are increasingly insufficient for navigating complexity. Leaders today must operate in environments characterized by uncertainty, emergent dynamics, weak signals, and competing stakeholder worldviews.
The presentation introduces a novel AI model and enterprise modeling framework, recently published as a PhD thesis, that incorporates complex systems concepts in advanced artificial intelligence (AI) modells and machine learning (ML) algorithms. The framework applies causality, explainability and interpretability principles to support transparent, accountable, and context-aware decision support, enabling sense-making in conditions where complexity, ambiguity, and polarization often paralyze traditional decision-making processes.
By combining complex systems-based enterprise modeling with AI-driven simulation capabilities, leaders can rapidly explore and compare multiple future scenarios, assess underlying drivers of change, and test strategic responses across divergent stakeholder perspectives on the fly, using available and fast changing data to make informed decisions.
The presentation will explore how the AI-informed systems modeling framework can support leaders to:
- Navigate complexity across public, private, and nonprofit domains;
- Manage systemic risk management in volatile and uncertain environments;
- Identify cross-sector opportunities for innovation and collaboration amid disruptive technological and socio-economic shifts;
- Facilitate semantic reconciliation across disciplines, sectors, and polarized perspectives;
- Discover new knowledge within complex adaptive systems;
- Integrate distributed knowledge into coherent, actionable insights.
The presentation aims to stimulate dialogue on how systems-informed AI can move beyond automation toward augmentation—reshaping leadership capabilities for resilient, adaptive, and inclusive futures.
ETHOS Framework for AI Literacy & Implementation
Organizations are investing billions in AI while 95% report zero ROI from their pilots (MIT Media Lab, 2025). The problem isn’t the technology, it’s the leadership gap. This session builds on the AI Leadership Competencies framework presented at ILA’s 2025 Global Conference to introduce the ETHOS Framework: a values-driven model for ethical, sustainable AI adoption that keeps humans and missions at the center.
Drawing from the presenter’s research examining how globally recognized nonprofits navigate AI integration, this talk identifies why even well-resourced organizations struggle with implementation. The answer lies in five interconnected principles: Ethics (embedding values in technological decisions), Transparency (building trust through open communication), Humanity (centering human dignity and agency), Openness (cultivating organizational humility and learning), and Stakeholders (engaging those affected by AI systems). The ETHOS Framework positions AI adoption as an ongoing exercise in organizational learning and ethical deliberation where leaders learn to ask better questions.
Participants will leave with practical strategies for developing AI literacy that go beyond understanding tools to understanding impact, building coalitions across organizational hierarchies, and creating cultures of “organizational humility” where admitting uncertainty becomes strength rather than weakness. The session demonstrates that sustainable AI transformation requires leaders who can balance technical possibility with institutional purpose by amplifying human capability.
Rooms 4 – Presentations
Frontier Organization Development: Scaling Transformation Through Agentic AI and Capability Building
What happens when an Organization Development Center of Excellence deploys agentic AI, not to replace OD practice, but to scale it? This session shares how one OD CoE extended its reach enterprise-wide by embedding intelligent, guided tools into diagnostics, change strategy, and team effectiveness while simultaneously building OD fluency across HR Business Partners. The result: a distributed, scalable transformation model with real outcomes and a practical blueprint others can follow.
Omar Morales, Head of Organization Development, Microsoft
Peer-Led AI Adoption: How Business Resource Groups Are Building AI Capability and Confidence at Otis
How do you build genuine AI confidence across a global workforce? Otis Worldwide found an answer in an unexpected place: their Business Resource Groups. This case study shows how BRGs drove AI adoption through peer-led learning sessions and hands-on Copilot workshops — advancing both inclusion and business goals simultaneously. The result: measurably increased employee confidence in AI tools and a replicable model for organizations seeking inclusive approaches to AI readiness.
Karen Perham-Lippman, Senior Manager, Global Inclusion & Belonging, Otis Worldwide Corporation
Peer-Led AI Adoption: How Business Resource Groups Are Building AI Capability and Confidence at Otis
AI adoption and increased employee confidence. Otis Worldwide Corporation is the world’s leading manufacturer, installer, and servicer of vertical transportation systems, primarily elevators, escalators, and moving walkways. This presentation will share best practices from our global Business Resource Group (BRG) program and will highlight how our BRGs contribute to colleagues’ AI adoption and skill-building, supporting both our company’s inclusion and broader business goals. Examples will include BRGs contributing to AI learning sessions from the field and BRG led Tech Talks on Microsoft Copilot, which give colleagues hands-on experience and practical skills. Outcomes include increased employee confidence in use of AI tools through implementation. This case study may offer replicable strategies for any organization seeking inclusive approaches to AI readiness in the workplace.
Rooms 5 – Presentations
Behind the Algorithm: Protecting and Empowering Black Children in an AI World
From digital learning tools to predictive analytics, Artificial Intelligence is influencing how Black children learn and are assessed. Yet, AI can reinforce inequities if left unchecked. This session explores how bias, access, and cultural representation intersect with AI in education. This session focuses on gaining tools to understand, question, and shape how technology impacts families, particularly African American families, through the lens of the 7 Cs of Engagement: Collaboration, communication, care/compassion, culture, connectedness, community, and collective responsibility.
Angela Clark Louque, Professor, Educational Leadership, California State University, San Bernardino
Invisible Lenses: Bias, Reflexivity, and Leadership in AI-Mediated Decision Environments
AI doesn’t just assist decisions, it can quietly shape them. This presentation tackles an overlooked leadership risk: losing sight of your own positionality while relying on systems that embed unseen bias. Drawing on research in healthcare leadership, presenters will explore how to surface both external bias in AI systems and internal bias in interpretation. The presentation introduces leaderacy, a leader’s capacity for ethical, bias-aware decision-making in AI-mediated environments.
Erik Bean, Professor of Practice, Indiana Tech, Ph.D. in Global Leadership
Iain Kaan, Doctoral Fellow, Indiana Tech, Ph.D. in Global Leadership
Behind the Algorithm: Protecting and Empowering Black Children in an AI World
From digital learning tools to predictive analytics, Artificial Intelligence is influencing how Black children learn and are assessed. Yet, AI can reinforce inequities if left unchecked. This session explores how bias, access, and cultural representation intersect with AI in education. This session focuses on gaining tools to understand, question, and shape how technology impacts families, particularly African American families, through the lens of the 7 Cs of Engagement: Collaboration, communication, care/compassion, culture, connectedness, community, and collective responsibility.
Invisible Lenses: Bias, Reflexivity, and Leadership in AI-Mediated Decision Environments
This session examines a critical but often overlooked leadership challenge: as artificial intelligence increasingly mediates information, leaders risk losing awareness of their own positionality while relying on systems that embed unseen biases.
Drawing on research in bias frameworks and qualitative work on positionality and reflexivity in healthcare leadership, this session introduces a combined approach to evaluating information in AI-influenced environments. Participants will explore how AI can function as a “hidden agenda” source of bias and how leaders can more intentionally surface both external bias in systems and internal bias in interpretation.
The session also introduces the concept of leaderacy, defined as a leader’s capacity to evaluate information, bias, and AI-mediated interpretation for ethical decision-making. Attendees will leave with practical tools to strengthen transparency, credibility, and trust in their leadership practice.
12:30-1:30 p.m.
Breakout Sessions
Room 1 – Presentations
Tackling ROI failure in AI Implementation
Companies are pouring resources into AI — and many have little to show for it. Pilots stall, tools go unused, and promising experiments never scale. The technology usually isn’t the problem. This session examines why AI initiatives so often fail to deliver ROI and what it actually takes to move from experimentation to lasting value: aligning strategy, culture, and technology so they reinforce rather than undermine each other.
Adam Breen, Founder & President, elements.biz; Entrepreneurship and Innovation, EM Lyon Business School
From AI Adoption to AI Integration: Preventing Organizational Drift in the Integration Frontier
Adopting AI is one thing — integrating it is another. Many organizations are stuck in adoption mode, resulting in fragmented implementation and innovation that drifts from mission. This session presents a leadership systems framework for true AI integration, drawing on cross-sector experience in education and leadership development. Participants leave with a practical model for anchoring AI in mission, establishing human oversight, redefining leadership competencies, and measuring impact beyond productivity.
Nathan Hamblin, Dean of the School of Leadership at University of the Cumberlands
AI Implementation in Business
Artificial Intelligence is now central to corporate strategy. Companies are investing heavily in AI tools and initiatives, expecting productivity gains, better decisions, and new sources of value.
Yet a clear pattern is emerging: many AI initiatives fail to deliver measurable return on investment.
Projects stall after the pilot phase. Tools are deployed but rarely used. Promising experiments fail to translate into operational impact.
The problem is rarely the technology itself.
Successful AI implementation depends on aligning strategy, culture, and technology. When these forces move out of balance, even powerful AI solutions struggle to create real business value.
This presentation explores why AI initiatives often fail to generate ROI—and how organizations can rethink their approach to move from experimentation to sustained value creation.
From AI Adoption to AI Integration: Preventing Organizational Drift in the Integration Frontier
AI has moved from experimentation to embedded infrastructure. Yet many organizations remain in adoption mode rather than integration. The result is drift: fragmented implementation, efficiency without coherence, and innovation misaligned with mission.
This presentation advances a leadership systems framework for AI integration. Drawing on cross-sector implementation in education and leadership development contexts, the session reframes integration as a governance and capability challenge rather than a technical initiative.
The model integrates adaptive leadership, systems thinking, and responsible AI design to outline how leaders can:
1. Anchor AI use in mission clarity
2. Establish human-in-the-loop guardrails
3. Redefine leadership competencies in AI-augmented environments
4. Evaluate impact beyond productivity metrics
Participants will leave with a transferable integration framework and evaluative lens applicable across sectors.
Room 2 – Presentations
Paying Down Knowledge Debt: What Professional Services Organizations Must Fix Before AI Can Help
AI didn’t create your knowledge management problem — it just made it impossible to ignore. For professional services firms, decades of tribal knowledge, orphaned docs, and siloed information mean AI tools retrieve wrong answers or nothing useful at all. This session offers a practical framework for diagnosing and fixing knowledge infrastructure: from building authoritative sources of truth to shifting team culture so documentation becomes an asset, not a chore.
Ryn Bennett, Knowledge Systems Architect & AI Operations Lead, Nava PBC
AI & Leadership: One Professional Association’s Journey and What’s Next
This discussion takes stock of how the International Leadership Association is exploring the intersection of AI and leadership including: two virtual summits, a robust conference stream, a growing member community, and more. Past and present leaders of ILA’s AI and Emerging Technologies member community reflect on the journey so far and open the floor for a discussion on what comes next.
Dan Jenkins, PhD, Co-Chair, ILA AI & Leadership Virtual Summit; Professor of Leadership & Organizational Studies, University of Southern Maine
Cris Wildermuth, Director, B.S. in Organizational Leadership and M.S. in Leadership and Innovation at Barry University. Professor of Leadership.
Mary Tabata, Ph.D., Co-Chair ILA AI & Leadership Virtual Summit; Adjunct Faculty and AI Concentration Lead, Eastern University College of Business & Leadership
Kevin Bottomley, Ph.D., Assistant Professor, PhD in Global Leadership Program, Indiana Tech
Paying Down Knowledge Debt: What Professional Services Organizations Must Fix Before AI Can Help
Most professional services firms have a decade of institutional knowledge scattered across drives, inboxes, and the heads of people who might leave next quarter. AI exposes this problem.
Digital modernization firms, consultancies, and complex delivery organizations are discovering that AI adoption surfaces a problem that predates AI: their knowledge is unstructured, inconsistent, undocumented, and siloed. The result is AI that confidently retrieves the wrong answer, or nothing useful at all.
This talk offers a practitioner’s framework for diagnosing and paying down knowledge management technical debt in professional services contexts, drawing on hands-on experience redesigning knowledge infrastructure across a large portfolio of active delivery engagements. Ryn will cover:
- What KM technical debt actually looks like in services organizations. Tribal knowledge, orphaned documentation, inconsistent taxonomy, and the project handoff problem that compounds with every new engagement
- Why AI readiness is a knowledge architecture problem first, and how to assess whether your organization’s knowledge is structured well enough for AI to retrieve anything trustworthy
- The canonical source question: how to define, build, and maintain authoritative sources of truth in environments where the work is always changing and the people rotate
- Human-in-the-loop as operational discipline: designing review and maintenance workflows that keep knowledge current without creating unsustainable overhead for practitioners
- Change management for knowledge work: how to shift delivery teams from treating documentation as a compliance burden to treating it as infrastructure, and why that cultural shift is the actual prerequisite for AI value
This session is for leaders in professional and delivery services who have invested in AI tooling and are not seeing the returns, and who are ready to look upstream at the knowledge foundations those tools depend on.
Room 3 – Workshop
Developing Wisdom for AI Integration
AI is not one thing — it’s many, combining in ways that compound complexity faster than any leader can navigate alone. Meeting that challenge requires collective intelligence. This interactive session harnesses the wisdom in the room, inviting participants to share micro-narratives of their own AI integration experiences. Structured reflection and AI-assisted synthesis then transform that collective experience into actionable insights for leading through local challenges — together.
Jonathan Reams, Chief Creative Officer, Center for Transformative Leadership
Wayne Buckhanan, Leadership Practicum Coach; Associate Professor of Engineering, School of Leadership, Andrews University
Developing Wisdom for AI Integration
AI is changing our world faster than we can keep up. While using AI can open new possibilities, it can also lead us astray. As the landscape evolves, it becomes clearer that AI is not just one thing, it is many things all at once, combining in new ways with itself that increase the complexity of challenges more than ever.
Our challenge is to develop sufficient wisdom, knowledge and ethics to lead with AI rather than be led by it. This is not possible as a solo effort. It requires collective intelligence, informed by collective awareness of collective experience.
Traditional methods for such collective work are constrained by limitations of time, process and resources. Introducing AI into this work can enable distributed leadership to take collectively informed local action.
This interactive session will briefly frame such challenges to set the context for participants to share micro-narratives of their own experience of integrating AI into processes, followed by some simple structured reflections. We will then use AI to gain awareness of how perspectives from participants’ collective experience can inform developing actions for leading in our own local challenges.
Rooms 4 – Presentations
5 Supportive Constructs for Leadership’s AI Journey
Education is at a defining moment — and its leaders may not be ready. This session shares findings from a global mixed-methods study spanning 25 countries and every level of K-20 public education, examining how educational leaders understand AI’s role in advancing lifelong learning, equity, and systemic change. The results surface critical gaps in expertise and offer broad recommendations with relevance well beyond the education sector.
Deb Homuth B.A. B.Ed. M.Ed. E.D.D., Director of Curriculum and Instruction, Enya Learning, Canada
Educational Integrity & AI: The Faculty Perspective
Academic integrity isn’t just a student issue, it’s taking a toll on faculty. This presentation shares findings from a qualitative study of 413 higher education faculty, surfacing the emotional weight, procedural frustration, and institutional gaps faculty navigate when confronting misconduct. Critically, respondents offered their own strategies for relief. Leaders in education and beyond will leave with practical guidance for better supporting employees struggling to execute their roles in the age of AI.
Jane Forbes, Sociology Faculty, American Public University System
5 Supportive Constructs for Leadership’s AI Journey
Education stands at the precipice of the most significant moment in the history of its leadership. This session will share the results of a mixed methods research study which set out to uncover the perspectives and experiences of educational leaders globally who work at different levels of K-20 education in publicly funded systems to try to understand if these leaders understand what is meant by a new global agenda for education focused on the realization of lifelong learning for all, whether they see themselves as responsible for co-designing the use of AI in education to help realize that mandate, and whether they see how they might use their positions of soft power and influence to shape change for the greater good.
The main questions of this research study were:
- What do educational leaders K-20 see as the benefits/risks, opportunities/challenges of AI as a means for achieving greater equity for all in the pursuit of lifelong learning?
- What is the current level of expertise of educational leaders K-20 with respect to AI and what training/education is needed to implement AI in support of lifelong learning for all?
- How will specific supports help educational leaders K-20 to realize this universal mandate for change?
The interview participants came from 25 different countries. A broad series of recommendations for how leaders can be supported in this unique moment in time were identified in this study. This study of leadership’s approach to AI has much applicability to leaders in many sectors.
Rooms 5
Forthcoming
7 May 2026 - All Times EDT (UTC-4, New York Time)
2:00-3:00 p.m.
Breakout Sessions
Room 1 – Presentations
Global Human Flourishing
AI’s capacity for transformation is extraordinary, but transformation toward what? This session centers a question too often missing from the AI conversation: human flourishing. Drawing on six domains — happiness, health, meaning, character, relationships, and material stability — participants explore how leaders can shape AI adoption around dignity, purpose, and meaningful work. The session offers frameworks for ethical AI implementation that scale innovation without sacrificing humanity.
Curtis Isozaki, Executive Coach & Consultant, Isozaki Coaching
Room 2 – Panel
New Directions for Student Leadership Special Issue
Yihe Yang, Assistant Teaching Professor, Organizational Leadership, Arizona State University
Antonio Jiménez-Luque, Associate Professor, Leadership Studies, University of San Diego
Description Forthcoming
Room 3 – Workshop
Leveraging Ai in Symbolic Exploration of Organizational Relationships & Stakeholders
Navigating complex organizational change means knowing who holds power, legitimacy, and urgency — and how to engage them strategically. This session explores how AI can serve as a thought partner in stakeholder mapping, helping leaders prioritize relationships, surface latent influences, and build supportive coalitions. Drawing on the stakeholder salience model in academic settings, participants will audit their most important stakeholders and apply relational coordination strategies to drive meaningful, inclusive change.
Dave Houglum, Ph.D., CPCC, PCC, Director of Leadership Studies and Leadership Professor of Practice, University of Portland
David Fuentes, EdD, PharmD, MSOL, SHRM-CP, Professor, College of Health, University of Montana
Leveraging Ai in Symbolic Exploration of Organizational Relationships & Stakeholders
The stakeholder salience model applies to academic settings where cross-departmental, multidisciplinary, and complex infrastructures govern the management of change. The stakeholder salience model, applied in business and leadership, can be leveraged to engage stakeholders, given the shared governance models. Using a text-rich Ai application as a thought partner can enhance our approaches to include stakeholders in change management initiatives.
Stakeholders, with different levels of power, legitimacy, and urgency, can have a strong impact on curricular innovations, policy-driven decisions, student support services, and more. Academia is ripe with decisions requiring stakeholder input, including adopting new teaching modalities, implementing new degree requirements, proposing new programs of study, appointing leaders, or deciding committee composition. Ai can help leaders prioritize stakeholder interests, relationship depth, and evolving industry-specific interests.
Leaders at all levels can benefit from this session, as it encourages auditing our most important stakeholders and applying relational coordination to engage our widest audiences, and ensure that the appropriate strategies are observed in building supportive coalitions. Applications will also feature authentic situations where important stakeholders may have a latent impact on our efforts and initiatives, requiring thoughtfulness and intentionality when crafting plans for leadership change.
Mitchell, K., Agle, R., & Wood, D. (1997). Toward a Theory of Stakeholder Identification and Salience: Defining the Principle of Who and What Really Counts. Academy of Management Review, 22, 853-886.
Rooms 4 – Presentation
Building AI-Powered Evaluation Systems for Doctoral Dissertation Artifacts
What does AI-assisted doctoral evaluation actually look like in practice? This session pulls back the curtain on a custom AI evaluation system built on Claude’s architecture designed to assess dissertation milestones against 19 criteria and institution-specific rubrics. The result: faster revision cycles, clearer feedback, and stronger scholarly quality without sacrificing rigor. Faculty and academic leaders leave with a replicable model for embedding AI into their own assessment workflows.
Greg Price, MBA, EdD, Professor, Senior Director of Graduate Business Programs, City University of Seattle
Pressley Rankin, Ph.D., Program Director and Professor of Leadership, City University of Seattle
Building AI-Powered Evaluation Systems for Doctoral Dissertation Artifacts
This presentation explores how a business program director designed and deployed custom AI evaluation systems using Claude’s system prompt architecture to assess doctoral-level dissertation artifacts. The artifacts are specifically the Prospectus and Proposal milestones of a Doctor of Business Administration dissertation. Each was engineered with institution-specific rubrics, alignment logic, and structured feedback protocols that mirror committee-level expectations across 19 evaluation criteria and a 10-step assessment process.
The session demonstrates how AI integration directly enhances program director productivity by automating evaluations. Faculty/mentors must still read the documents to ensure the evaluator’s credibility of the assessment. Attendees will see how these systems enforce research rigor by systematically checking alignment across problem statements, purpose, research questions, theoretical frameworks, and methodology. The structured output format improves readability for both faculty and students by translating complex institutional standards into clear, actionable feedback, accelerating revision cycles, and strengthening scholarly quality. Faculty and academic leaders will leave with a practical understanding of how to architect AI-assisted evaluation tools tailored to their own institutional standards, program milestones, and accreditation requirements. Whether managing doctoral committees, coordinating course assessments, or mentoring student researchers, attendees will gain a replicable model for embedding AI into academic workflows without sacrificing intellectual rigor. This is not a passive presentation. Attendees are encouraged to challenge the framework and offer critical feedback, because the best AI systems, like the best scholarship, improve through collaboration.
Rooms 5
Forthcoming
3:15-4:15 p.m.
Breakout Sessions
Room 1 – Presentations
Why How You Think Matters More Than What You Know in the Age of Artificial Intelligence
AI is reshaping leadership in ways we’ve never seen. Today’s leaders face a dual pressure: maximize AI-driven productivity while staying deeply human. They’re managing hybrid teams of people and AI agents, navigating skills gaps, and confronting rapid change—all at once. Success requires real mindset shifts in humility, communication, adaptability, and emotional intelligence. This session explores those shifts and includes a hands-on exercise to bring them to life.
Jim Barge, Visiting Asst. Professor of Management and Leadership, School of Business and Communication, Mount St. Joseph University
Leaders as Systems Architects for AI Agents
AI isn’t just a tool anymore — it’s an agent that executes. This shift demands a new kind of leader: the System Architect of Agents. This session explores what it means to move from managing human output to orchestrating autonomous AI workflows, redesigning how work gets designed rather than just done. Participants will learn frameworks for leading through the agentic frontier while keeping human judgment at the center of intent, ethics, and systemic integrity.
Joe Oakhart, Principal Software Engineer, Nava PBC
Why How You Think Matters More Than What You Know in the Age of Artificial Intelligence
Geoff Woods (2024) offered that “the difference between AI’s impact being net positive or negative lies not in the technology itself but in the leaders using it” (p. 25). Artificial intelligence, in all its forms and definitions, is a technology game changer unlike any we have seen in the last 60 years. The massive investment and growing adoption of AI tools by industry is presenting new and unique challenges to leaders, as they grapple with not only what to deploy and how to deploy it for the highest productivity gain, but equally important, they must adjust leadership approaches and mindsets. They are being buffeted by two opposing forces—that of the need to demonstrate that they can apply AI for maximum efficiency and productivity on one side and the need to demonstrate they are pro-human and have toe ability to navigate their team through these massive changes. For example, they may be leading a team of humans and AI agents, where the AI agents are smarter on many things but dumb as rocks on others and work 24/7. Further as AI is adopted, the skills gap between those who embrace the AI change and those that do not, will grow and become problematic. These significant changes require mindset shifts in many areas of leadership, including humility, communication, adaptability and emotional intelligence that can equip leaders to successfully navigate AI adoption and use. I will review these mindset shifts and engage the audience in a simple exercise to illustrate my case.
Leaders as Systems Architects for AI Agents
The transition from “AI as a tool” to “AI as an agent” represents the most significant shift in leadership since the dawn of the internet. We are moving beyond simple prompting toward the orchestration of autonomous agentic workflows—systems that don’t just assist, but execute. For leaders, this requires a fundamental evolution in capability: moving from managing human output to becoming a “System Architect of Agents.”
In this session, we will explore the evolution of the Principal Lead role. We will discuss how to move teams away from manual task execution and toward designing the high-level skills, hooks, and orchestration patterns that allow AI agents to solve complex, systemic problems. This is not just a productivity play; it is a redefinition of technical and organizational leadership. Participants will learn how to lead multidisciplinary teams through the “Agentic Frontier,” focusing on building frameworks that continue to work for the organization long after the initial design. We will examine the shift from “doing the work” to “designing the work,” ensuring that as AI takes on more autonomy, human leadership remains the vital architect of intent, ethics, and systemic integrity.
Room 2 – Roundtable
AI as Team Member
AI is evolving from tool to teammate — and leadership practice hasn’t caught up. This conversational session looks beyond productivity and automation to ask a harder question: how do you lead a team that includes intelligent systems? Through open dialogue, participants will explore what human-AI collaboration could look like, what capabilities humans need to develop, and what ethical and organizational questions leaders should be wrestling with now — before the future arrives.
Kim Carlson, Co-Founder & CEO, Tractus Strategic Partners, LLC
Charity Boyette, Ph.D. Candidate, Center for Public Administration and Policy, Virginia Tech; Chief Operating Officer, Tractus Strategic Partners, LLC
AI as Team Member
Artificial intelligence is rapidly moving from tool to collaborator. Much of today’s discussion focuses on productivity, automation, and AI literacy. Yet a deeper leadership question is beginning to emerge: what happens when AI systems function less like software and more like members of the team?
Many technologists suggest that increasingly capable forms of AI may emerge within the next several years. If that occurs, organizations may find themselves working alongside AI systems that contribute ideas, analyze complex information, and participate in decision processes in ways that resemble human collaborators. While organizations are actively experimenting with AI tools, leadership and management practices have barely begun to explore what it would mean to manage teams that include intelligent systems.
This session invites participants into an open dialogue about preparing for a future in which humans and AI work as integrated teams. Together we will explore questions such as:
- What might it mean for AI to function as a full participant in organizational work
- How might leadership and management practices change when some “team members” are intelligent systems
- What capabilities should humans develop to complement AI strengths rather than compete with them
- How might managers design teams, workflows, and decision processes that integrate human judgment and AI insight?
- What ethical, relational, and organizational questions should leaders begin considering now?
Rather than focusing on tools or technical skills, this conversation looks ahead to the emerging challenge of leading human–AI teams. Participants will share perspectives, experiences, and open questions about how leadership education, management training, and organizational design may need to evolve as AI becomes embedded in everyday work.
Room 3 – Workshop
The Intersection of Clinical Medicine & AI – Patient Input in Healthcare Governance of AI
Bridging AI governance and clinical workflow, I will draw on my experience as both a practicing family medicine physician using ambient AI tools daily and the founder of a clinical AI platform. The workshop will cover how frontline clinical use exposes governance gaps that policy discussions often miss, and why the people closest to patient care need a seat at the table when AI frameworks are being built.
Bhaven Murji, MD, Chief Family Medicine Resident, CEO and Founder of Ignite Health Partnership LLC
Rooms 4 – Workshop
The Human Loop in Action: Navigating AI’s Ethical Frontiers Through Structured Reflection
Speed without wisdom leaves values behind. This hands-on workshop introduces The Human Loop — a five-step reflective framework helping leaders make responsible, human-centered decisions in AI-driven environments. Using a real-world ethical dilemma, participants work through five dimensions: Know Yourself, Know Your People, Know Your Environment, Know Your Impact, and Know Your Self-Awareness. The result: reflection becomes a strategic tool, not a soft skill — and leaders leave with a framework they can use immediately.
Jennifer Sparks Taylor, EdD, Co-Founder The Human Loop, Head of Leadership Development, Director, Center for Effective Organizations, Marshall School of Business, University of Southern California
Elisabeth Graswich, Ed.D., Co-Founder and Author, The Human Loop
The Human Loop in Action: Navigating AI’s Ethical Frontiers Through Structured Reflection
AI is accelerating decisions across every sector, but speed without wisdom can lead leaders across the integration frontier without a compass, leaving people, values, and consequences behind. This 50-minute virtual workshop introduces The Human Loop, a five-step reflective framework designed to help leaders pause, think critically about their thinking, and make responsible, human-centered decisions in AI-enabled environments.
As AI reshapes how organizations operate, leaders increasingly face ethical dilemmas with no easy answers: Whose voices get included in AI-driven decisions? What are the long-term human consequences of choices made at warp speed? How do you align these decisions with your own values and those of your organization?
Through facilitated discussion and guided reflection prompts, participants will explore a real-world AI leadership dilemma using The Human Loop’s five dimensions: Know Yourself, Know Your People, Know Your Environment, Know Your Impact, and Know Your Self-Awareness. This structured approach, grounded in responsible leadership theory and social cognitive theory, transforms reflection from a soft skill into a strategic tool for ethical leadership.
Participants will leave with a practical framework they can apply immediately — individually, with teams, or across their organizations — to navigate the complex terrain where human judgment and artificial intelligence intersect.
This workshop is designed for leaders across sectors — from healthcare and education to business and government — who are committed to ensuring that human judgment, values, and wisdom remain at the center of AI-driven decisions.
Room 5 – Panel
Emerging Power of Artificial Intelligence (AI) in the Intersections of Business, Education, and Coaching
AI is reshaping business, education, and coaching but who is shaping AI? This panel examines three interconnected dimensions: the underrepresented history of women in the field and the imperative for inclusive AI authorship; the concept of “leaderacy” and how leaders navigate algorithmic and internal bias; and the shift from AI-assisted to AI-enabled coaching. Together, panelists offer a roadmap for moving from passive users to strategic architects of human potential.
Erik Bean, Professor of Practice, Ph.D. in Global Leadership, Indiana Tech
Joanne Vázquez de Príncipe, Founder & CEO, Purposeful Advising and Coaching; Doctoral Associate Faculty of Organizational Behavior, University of Phoenix
Simone Arnold, Author, Editor, Professor, Public Speaker and Product Leader.
4:30-5:30 p.m.
Closing Keynote
Ganna Pogrebna, Professor, David Trimble Chair in Leadership and Organisational Transformation, Queen’s University Belfast
Blending behavioral science, AI, computer science, data analytics, engineering, and business model innovation, Pogrebna helps cities, businesses, charities, and individuals to better understand why they make decisions they make and how they can optimize their behavior to achieve higher profit, better social outcomes, as well as flourish and bolster their well-being. Her recent projects focus on smart technological and social systems, cybersecurity, human-computer and human-data interactions and business models.
Description Forthcoming
SPEAKER BIOS
Erik Bean is a professor of practice in the Ph.D. in Global Leadership program at Indiana Tech. His research explores media literacy, artificial intelligence, and ethical leadership. He has published in the Journal of Leadership Studies and Media Literacy and Academic Research on AI, bias, and information credibility. Dr. Bean is the author of Bias Is All Around You and serves as Michigan Chapter Leader for Media Literacy Now, engaging public audiences through workshops on media literacy and ethical AI.
Ryn Bennett, MPH is a knowledge systems architect and AI operations leader specializing in high-trust, regulated environments. As Senior Manager of Delivery Operations at Nava PBC, they design AI-enabled knowledge infrastructure that transforms fragmented institutional data into scalable, governed systems. Creator of the APPE certification — the first AI credential for proposal professionals — Ryn is a Lean Six Sigma Green Belt, 2x 40 Under 40 honoree, world-record athlete, and TEDx speaker.
Dr. Kevin Bottomley serves as Assistant Professor, PhD in Global Leadership Program, Indiana Tech. He has obtained the following AI-related training and certifications: AI Governance, PrivacyOps, AI Ethics, ACUE Empowering Students to Use AI Responsibly, ACUE Writing Effective AI Prompts, ACUE Teaching with AI-Centered and AI-Resistant Learning Experiences, and ACUE Leveraging AI to Develop Course Resources. Additionally, he has worked with doctoral students on dissertation committees in the AI/ML and VLE space. Dr. Bottomley was a panelist at the ILA conference in Vancouver, CA, with the topic AI, Leadership, and Ethics; he has published and presented at other national and international conferences.
Dr. Jane K. Forbes is an internationally recognized Sociologist. She holds a doctorate in Education Leadership and is faculty at the American Public University System and Park University. Her research spans academic integrity, education, organizations, peace and conflict studies, and the workplace. Her recent study on faculty experiences with academic integrity in the age of AI found that faculty desire technology to detect AI in student submissions and that it’s an emotionally charged issue.
David Fuentes, EdD, PharmD, MSOL, SHRM-CP, has served as a faculty member and administrator across several disciplines in healthcare education. He has worked within interprofessional frameworks in teaching, service, and scholarship. His experiences as an administrator have provided him with the opportunity to engage in work related to academic operations, accreditation, assessment, curriculum redesign, faculty development, leadership training, student support services, and teaching effectiveness. He has earned certifications in Gallup leadership coaching for strengths, lean systems, human resources, and team-based learning. A lifelong learner, academic, and pharmacist by training, he has also earned degrees in organizational leadership and organizational psychology through his master’s and doctoral work in higher education leadership. He currently serves as associate dean and professor for the College of Health at the University of Montana.
Elizabeth Graswich – With two decades leading communications strategy and organizational change, Dr. Elizabeth Graswich brings deep expertise in crisis communications, strategic narrative development, and responsible digital innovation. A leader in AI implementation in K-12, she has led large-scale AI adoption while establishing responsible frameworks that center ethical decision-making and stakeholder engagement. A doctoral researcher in responsible leadership, she co-authored The Human Loop: Leading with Reflection in the Age of AI with Dr. Jennifer Sparks Taylor, sparking ongoing research into how structured reflection shapes ethical leadership.
Deb Homuth has held senior leadership roles in all three educational divisions: elementary, secondary, and post-secondary as well as in the private sector working for companies who exist to serve the education sector. She has experienced, observed and studied firsthand the significance of leadership to lasting change. The common theme running through her work has been the implementation of change driven by technology.
Dave Houglum, Ph.D., CPCC, PCC, serves as Director of Leadership Studies and Leadership Professor of Practice at the University of Portland. A leadership educator, scholar-practitioner, executive coach, and speaker, he designs transformative learning experiences across sectors and global contexts. His work bridges leadership scholarship and practice through coaching, experiential learning, cross-cultural engagement, and ethical AI integration.
Curtis Isozaki – As a higher education professional, executive coach, leadership practitioner, and LEGO® Serious Play® Facilitator, Curtis Isozaki, M.A., CF-LSP, seeks to champion leaders who mobilize their organizations to change the world. He is committed to unlocking the potential of organizations by empowering leaders and teams through various assessments and workshop facilitation to skyrocket organizational employee engagement and performance. Lastly, his research focuses on global leadership, human flourishing, organizational change, human-centered design, facilitation, and scaling of innovation.
Dan Jenkins, Ph.D., is Professor of Leadership & Organizational Studies at the University of Southern Maine. Co-author of The Role of Leadership Educators: Transforming Learning and author of over 75 peer-reviewed publications, his scholarship spans leadership pedagogy, artificial intelligence (AI), followership, critical thinking, and curriculum design. A pioneer in integrating AI into development, training, and education, he develops innovative courses preparing students for digital-age leadership challenges. Dan serves as Co-Founder of the International Leadership Association’s Leadership Education Academy, Associate Editor of the Journal of Leadership Studies, and co-host of The Leadership Educator and Leaders in the Loop podcasts. An award-winning international speaker and facilitator, he engages thousands of leadership educators, scholars, students, and professionals worldwide on innovative teaching approaches and AI integration.
Dr. Mouriño is an experienced professional and author with many years of leading, supporting, and consulting on areas focused on Leadership Development, DEI, Executive Coaching, and Workplace Strategies in a variety of organizations and industries. He is an Air Force veteran and brings broad industry experience that include Aerospace, Government, Utility, IT, Military, Higher Education and Fortune 100 companies. He is founder and president of Human Intelligent (HI) Workplace, an organization focused on helping leaders help themselves through leadership, human capital trends, and executive coaching emphasizing the area of Human Intelligence (HI) in the era of AI. He is also an author of several books on human capital trends and leadership.
Bhaven Murji is a Family Medicine physician, published researcher, and founder of Ignite Health Systems. Trained in the UK and now practicing in the US, he works at the intersection of medicine, technology, and systems design. His thesis is simple: medicine used to be a relationship. The system fractured it – paperwork, prior auths, screens between doctors and patients. Ignite is rebuilding that system to give them back to each other.
Joe Oakhart is a former U.S. Digital Service (USDS) expert dedicated to safely modernizing legacy government software. Approaching AI adoption with a craftsman’s precision, they build structural safeguards that unlock AI’s speed while fiercely protecting the public. Holding two technology patents, Joe is the creator of Parity Scan, a testing methodology designed to prevent AI hallucinations and regressions during complex system migrations. They help government agencies innovate without ever compromising mission-critical reliability.
Dr. Karen Perham-Lippman, Senior Manager, Global Inclusion & Belonging, Otis Worldwide Corporation. Dr. Karen Perham-Lippman, CDP®, brings 15 years of experience in global inclusion, ESG, and social impact strategies to her work at Otis Worldwide Corporation. She holds a Ph.D. in Organizational Leadership from Eastern University and a certification in Ethics of AI from the London School of Economics and Political Science. She serves on Emerald Publishing’s Neuroinclusive Publishing Environment Advisory Group and has published with Ethics International Press, Emerald Publishing, Forbes, Merits International Journal, SAGE Publishing & Senior Executive.
Dr. Greg Price serves as Senior Director of Graduate Business Programs at a private non-profit university in Seattle, overseeing eight graduate programs, including the DBA and MBA. With 18 years of business and leadership instruction, he serves as the school’s reviewer of all DBA dissertations. His career includes serving as Director in Tokyo, Japan; as Superintendent aboard Alaska fish-processing vessels; and as co-publisher for an outdoor recreational publishing business in Seattle. He earned his doctorate in Organizational Leadership in 2018.
Pressley Rankin IV, EdD is a Professor and Program Director for the Doctor of Education in Leadership at City University of Seattle. With expertise in doctoral education, dissertation development, organizational communication, and academic program administration, Pressley is committed to developing adaptive, ethical leaders who drive meaningful change. A scholar-practitioner in leadership studies, Pressley brings both research rigor and applied experience to shaping the next generation of doctoral-level leaders.
Jonathan Reams, PhD, Jonathan Reams, PhD, is currently doing action research projects exploring how to scale micro-skill development for habituating core leadership practices. He approaches this work drawing on experiences from holding a position at the Norwegian University of Science and Technology (NTNU) from 2007 until 2024, serving as editor-in-chief of Integral Review from 2005 to 2023, and being chief creative officer at the Center for Transformative Leadership and Adeptify.
Daniel Tembinkosi Semway, Ph.D., Senior Consultant, Ontolligent; Southern Africa Liaison, W.K. Kellogg Foundation Global Fellows Network, Southern Africa, is a keen researcher and consultant in the following areas: Artificial Intelligence and Machine Learning; Strategic Foresighting; Enterprise Development; Geo-information systems Systems Design; Knowledge Management; and Regional Innovation Systems Design. He has contributed to and co‐authored a number of refereed publications in the following areas: Artificial Intelligence, Conceptual Modelling for Advanced IT Applications, Futures Strategy and Planning, Innovation, and have contributed to a book chapter on the development of Innovation Systems in South Africa. He has over the past 25 years coordinated local and international consulting and research
projects in strategic foresighting, systems thinking, enterprise development, with clients
from across Southern Africa, the United States of America, Europe, Canada, Mexico, Brazil,
and Thailand.
Dr. Jennifer Sparks Taylor is Co-Founder of The Human Loop and Director of the Center for Effective Organizations at the USC Marshall School of Business. She helps organizations transform values into lived experiences for employees and customers. With expertise in marketing, communications, and leadership, she knows how self-awareness shapes culture and drives success. Jennifer encourages leaders to slow down and reflect to inform responsible leadership. She believes structured reflection builds stronger teams, better workplaces, and a more human-centered world.
Mary Tabata, MBA, PhD is a teaching academic and transformational coach. She holds a PhD in Organizational Leadership from Eastern University and an MBA with a concentration in Leadership and Change Management from Pepperdine University. Her interest in AI and ethics originate from many years working around technology innovation and ethics, including AI in education and its applications to healthcare and human-machine interaction, and AI’s influence on coaching, leadership training, leader development, and AI and spirituality. She is an Adjunct Faculty and AI Concentration Lead at Eastern University College of Business & Leadership.
