Session
The Human Judgment Lab: A Practical Framework for Ethical AI Decisions
This interactive, hands-on workshop will introduce participants around to a newly constructed Human Judgment Framework regarding workforce AI decision making. Participants bring real AI-use cases from their organizations and learn to evaluate them across issues such as privacy, transparency, bias, accountability, human oversight, consequences of error, and trust.
A full-day structure would look like this:
1. Opening discussion and question: We know AI can do It, but should It? Examining capability as it relates to responsibility.
2. The Human Judgment Framework presented and explained. This is a practical decision model every participant can take away.
3. Ethics Lab #1 — participants work through realistic AI dilemmas using the framework provided.
4. Who Owns the Decision? — accountability when humans and AI share decision-making.
5. The Human Line — identifying decisions that should never be fully delegated to AI.
6. Ethics Lab #2 — teams analyze their own organizational AI use cases.
7. From Principle to Policy — converting ethical intentions into usable organizational guardrails.
8. The 30-Day AI Ethics Action Plan — each participant leaves with specific next steps.
Participants leave the one day event with: a workbook containing a decision matrix, case studies, discussion exercises for their own workspace, AI-use-case assessment sheet, and a one-page “Should We Use AI for This?” checklist.
Tammy Winner
Tammy Winner, Ph.D., Professor, University of North Alabama
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