Fictional speaker
Morgan Ellis
Organizational researcher
An imagined perspective on how teams make sense of new technology, redistribute responsibility, and learn together.
A fictional symposium on AI & leadership
A day to question assumptions, explore difficult decisions, and imagine more responsible ways to lead.
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AI invites organizations to rethink how work gets done. It also brings questions that technology alone cannot answer: Who decides? Who benefits? And who is accountable?
This imagined symposium makes room for those questions through discussion, case studies, and hands-on reflection. The program below is entirely illustrative.
01 / The day
Sample agenda
All times Eastern Time
9:00 a.m.
Opening conversation
Frame the choices that emerge when AI becomes part of everyday organizational work.
10:15 a.m.
Case discussion
Examine an invented hiring scenario and consider where human judgment, oversight, and accountability belong.
11:30 a.m.
Working session
Sketch a responsible rollout plan, with space for the people whose work will change.
12:30 p.m.
Break
Time to reflect, compare questions, and connect across perspectives.
1:30 p.m.
Panel & audience discussion
Explore communication, employee voice, and the limits of a purely technical solution.
3:00 p.m.
Reflection lab · closes at 4:00 p.m.
Translate the day’s conversations into a set of questions for your own context.
02 / Perspectives
These are fictional speaker personas created for this design example. They are not real participants and have no claimed Duke affiliation.
Fictional speaker
Organizational researcher
An imagined perspective on how teams make sense of new technology, redistribute responsibility, and learn together.
Fictional speaker
Responsible AI practitioner
An imagined perspective on translating broad commitments into product decisions, review processes, and daily habits.
Fictional speaker
People & change strategist
An imagined perspective on employee voice, trust, and the practical work of leading through uncertainty.
03 / Take part in the demo
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