I welcome invitations for talks, guest lectures, seminars, workshops, facilitated dialogue, and collaborative sessions grounded in active research on responsible AI, relational AI, human agency, learning, governance, and public value.
Rather than a fixed speaking catalog, these sessions are shaped around context: what a group is trying to understand, what decisions are ahead, and what forms of reflection or application would be most useful.
Invitation pathway
Sessions can be shaped for groups that need thoughtful framing, shared language, reflective practice, or research-informed sensemaking around AI and its effects on learning, agency, governance, responsibility, and public value.
Framing sessions for conferences, convenings, seminars, panels, or public-interest conversations.
Course-connected lectures or discussions for students, educators, and learning communities.
Participatory sessions using questions, cases, frameworks, prompts, or reflective exercises.
Shared sensemaking for groups navigating ambiguity, tensions, tradeoffs, or AI-related decisions.
Research-informed conversations around strategy, learning design, responsible AI direction, or public-interest innovation.
These are not fixed packages. Each format can be shaped around the group’s questions, time available, desired depth, and whether the goal is framing, reflection, application, or shared direction.
A focused session for conferences, convenings, seminars, panels, or public-interest conversations that need clear framing around responsible AI, relational AI, human agency, accountability, learning, governance, or public value.
A course-connected session for students, educators, or learning communities exploring AI literacy, responsible innovation, human–AI interaction, technology and society, futures, ethics, learning, or governance.
A more participatory format for groups that want to work with questions, cases, frameworks, prompts, scenarios, or reflective exercises and leave with language or practices they can apply.
A guided conversation for groups navigating ambiguity, institutional tensions, tradeoffs, or AI-related decisions where the goal is shared understanding rather than a one-way presentation.
A research-informed conversation for teams exploring responsible AI direction, learning design, governance questions, public-interest innovation, curriculum framing, strategic reflection, or early-stage project development.
These themes can stand alone or be combined depending on the audience, setting, and purpose of the session. They are starting points for inquiry, not fixed packages.
Agency
How AI systems shape judgment, choice, authorship, responsibility, and the conditions under which people remain meaningfully involved in AI-mediated work.
Relational AI
How AI changes relationships among people, tools, institutions, communities, and their own thinking, especially when systems begin to influence interpretation and action.
Readiness
How learners, educators, and organizations can prepare for AI-shaped contexts with discernment, ethical imagination, authorship, and long-term responsibility.
Literacy
Why responsible AI literacy requires more than prompt skills, including uncertainty awareness, interpretive judgment, values reflection, and public-purpose thinking.
Governance
How AI systems raise questions of authority, accountability, trust, institutional participation, and responsible foresight as they enter organizational and civic life.
Youth futures
How young people can be supported as future-shapers, not only future workers, through reflective approaches to technology, learning, identity, and social change.
Where sessions may fit
These are examples of fit, not a closed list. The strongest settings are groups looking for thoughtful framing, reflective practice, and responsible direction rather than generic AI adoption guidance.
For students exploring AI, society, ethics, innovation, learning, futures, governance, or public-interest technology.
For teams studying, designing, evaluating, or governing AI systems in socially consequential contexts.
For educators navigating AI literacy, academic integrity, learner agency, and responsible pedagogical change.
For nonprofits, civic groups, and mission-driven organizations exploring AI in relation to trust, service, and public value.
For teams working through questions of adoption, governance, participation, legitimacy, accountability, and stakeholder trust.
For programs helping young people connect AI, agency, ethical imagination, identity, and future-shaping capacity.
How sessions are shaped
Session planning begins with fit: who the group is, what they are navigating, and what kind of reflection, framing, or application would be most useful.
Name the audience, setting, current questions, and the AI-related tensions or opportunities the group is trying to understand more clearly.
Select a theme or combination of themes, such as relational AI, AI literacy, agency, governance, learning, youth futures, responsible innovation, or public value.
Shape the session as a talk, guest lecture, seminar, workshop, facilitated dialogue, or collaborative sensemaking conversation.
Leave participants with questions, language, frameworks, practices, or next-step reflections they can carry back into their own context.
Research grounding
Sessions draw from active research, writing, and framework development rather than a generic AI speaking catalog. The broader record remains available through the Writing & Publications page.
Conceptual frames
Public-facing frames for examining how AI participates in human judgment, agency, learning, responsibility, and future readiness.
Frameworks
Learning research
Research on close reading support, epistemic guardrails, interpretive humility, learner-led meaning-making, reflection, self-regulation, and learner agency.
Applied work
Applied portfolio work on role-based simulation, stakeholder tensions, responsible foresight, strategic reflection, and public-value-oriented AI decision making.
Share a little about the audience, setting, format you are considering, timeline, modality or location, and what participants should leave with. I welcome conversations with educators, researchers, public-interest organizations, learning communities, and mission-driven teams exploring whether there is a thoughtful fit.