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公式動画&関連する動画 [How Do You Build AI That Preserves Human Dignity?]
In this episode, Workday's Chief Responsible AI Officer Kelly Trindel sits down with Kasia Chmielinski, founder of the Data Nutrition Project, to get real about what it actually takes to build and use AI without losing human dignity in the process.
They dig into:
Why "cognitive surrender” is the biggest risk leaders face right now, not the technology itself
How anthropomorphizing AI can help or quietly erode trust and dignity, depending on how it's designed
What "human in the loop" actually means once agentic systems are making decisions at scale
Why data quality, not data volume, determines whether AI works—and why documentation is becoming non-negotiable
How regulation like the EU AI Act is impacting real-world AI governance
Why organizations need both org-level principles and system-level guardrails to deploy AI responsibly
If you're a leader trying to figure out how to keep critical thinking alive on your team while adopting AI at scale, this conversation is for you.
🎧 Subscribe to the Future of Work podcast for more conversations with the leaders shaping how we work with AI.
0:42 — Kasha’s background and path to responsible AI
2:08 — Kelly’s background in psychology and governance
3:32 — Defining responsible AI and agentic AI
5:12 — Responsible AI as a socio-technical approach
7:07 — What’s different about AI right now
9:50 — Human dignity and the risk of cognitive surrender
11:56 — Augmenting expertise instead of replacing it
13:17 — Anthropomorphizing AI
16:12 — Using AI to prepare, but not to flatter
17:25 — Design decisions and public responsibility
18:42 — AI governance in practice
19:41 — Regulations and standards
21:01 — Governance at the organizational level
22:57 — The power of defaults and accountability
23:23 — Managing teams of people and AI
24:20 — Final takeaway: reject techno-determinism
Please subscribe and follow us:
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Podbean: https://workdaypodcasts.podbean.com/
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