AI & Ethics: Work, Worth, and Ownership After AI
Details
Generative AI is reshaping how value is created at work. Sometimes that looks like productivity and new opportunities. Sometimes it looks like deskilling, copying at scale, or blurred lines around who gets credit and who gets paid. This session asks a simple but deep question: when AI is everywhere, what is yours to own?
Join us for a practical, welcoming discussion where we’ll explore:
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Work and value: How AI changes what employers, clients, and markets reward
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Ownership beyond IP: Skills, know-how, data, identity, and reputation
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Credit and compensation: When AI is used, who should be credited, and how should value be shared?
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Boundaries and consent: What is fair to reuse, retrain on, or automate, and what should stay personal?
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Practical guardrails: Norms and policies that protect people without blocking legitimate productivity gains
Whether you’re an employee, manager, founder, freelancer, student, or simply curious, bring one example of “ownership confusion” you’ve seen (or worry about) in the workplace.