Available for invited talks, guest lectures, seminars, workshops, 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.
Sessions are designed to slow the conversation down enough for people to examine assumptions, surface tradeoffs, and make AI-related choices more discussable. The focus is not adoption for its own sake, but clearer judgment and more responsible practice.
Topics draw from active research, writing, frameworks, prototypes, and public-interest innovation work on responsible AI, relational AI, human agency, learning, accountability, governance, and public value.
Each session can be shaped around the audience, setting, and desired learning outcomes, whether the format is a guest lecture, invited talk, seminar, facilitated reflection, workshop, or strategy conversation.
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.
How AI systems shape judgment, choice, authorship, responsibility, and the conditions under which people remain meaningfully involved in AI-mediated work.
How AI changes relationships among people, tools, institutions, communities, and their own thinking, especially when systems begin to influence interpretation and action.
How learners, educators, and organizations can prepare for AI-shaped contexts with discernment, ethical imagination, authorship, and long-term responsibility.
Why responsible AI literacy requires more than prompt skills, including uncertainty awareness, interpretive judgment, values reflection, and public-purpose thinking.
How AI systems raise questions of authority, accountability, trust, institutional participation, and responsible foresight as they enter organizational and civic life.
How young people can be supported as future-shapers, not only future workers, through reflective approaches to technology, learning, identity, and social change.
These formats are intentionally flexible. A session 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 groups looking to frame responsible AI, relational AI, human agency, accountability, learning, governance, or public value with clarity and nuance.
A course-connected session for students 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 move from broad AI concerns into shared language, reflective prompts, scenario discussion, or possible practices.
A collaborative conversation for teams exploring how AI-related questions connect to mission, trust, governance, learning, stakeholder responsibility, or public impact.
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.
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 reflection, or strategy-oriented sensemaking conversation.
Leave participants with questions, language, frameworks, practices, or next-step reflections they can carry back into their own context.
The work below provides conceptual and applied foundations for possible talks, guest sessions, workshops, and collaborative learning conversations.
A conceptual spine for understanding how AI systems participate in human judgment, agency, responsibility, and institutional life.
A public and programmatic frame for helping people and institutions preserve judgment, agency, ethical imagination, and responsible participation in AI-shaped futures.
Two linked frameworks for examining relational depth, human agency, responsibility, role clarity, accountability, meaning, and trust in AI-mediated contexts.
A behavioral audit of a minimal AI reading assistant designed to support close reading, structure-first engagement, interpretive humility, and learner-led meaning-making.
A learning-focused article examining how AI can participate in reflection, self-regulation, judgment, and learner agency over time.
A role-based simulation environment for rehearsing technology governance decisions, surfacing stakeholder tensions, and examining how AI can support responsible foresight.
This page offers an invitation pathway into talks, guest sessions, workshops, and collaborative learning conversations. The Writing & Publications page provides the broader record of publications, preprints, manuscripts, and public scholarship behind the work.
Share a little about the audience, theme, setting, and what kind of reflection or application would be useful. I welcome conversations with educators, researchers, public-interest organizations, learning communities, and mission-driven teams exploring whether there is a thoughtful fit.