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Q+A

Q & A: Crocodile tears, Can the ethical-moral intelligence of AI models be trusted?

As artificial intelligence becomes more embedded in everyday decision-making, its role in shaping how people think about ethics and morality is drawing increasing scrutiny. In this conversation with researcher Sarah Hubbard, we discuss insights from her co-authored paper, “Crocodile Tears: Can the Ethical-Moral Intelligence of AI Models Be Trusted?”—examining how AI systems respond to moral dilemmas, and what this reveals about the risks, limitations, and need for greater transparency and human oversight in AI-driven ethical guidance.

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Tribal Sovereignty in Focus Back-to-School Reading List
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Feature

Tribal Sovereignty in Focus Back-to-School Reading List

Back-to-school recommended reads from the Harvard Project on Indigenous Governance and Development include books, articles, and podcasts that highlight Indigenous governance narratives.

 

Disclosure Dilemmas: AI Transparency is No Quick Fix
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Commentary

Disclosure Dilemmas: AI Transparency is No Quick Fix

In a new essay, Mary Graham argues that transparency measures can help curtail AI-related risks but not overnight — transparency efforts require sustained, long-term engagement and effort.

Can you trust AI? Here’s why you shouldn’t
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Commentary

Can you trust AI? Here’s why you shouldn’t

In a new article for The Conversation, Bruce Schneier and Nathan Sanders highlight some of the reasons to feel skeptical towards AI.

Antiracism Summer Reading List
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Feature

Antiracism Summer Reading List

This summer’s recommended reads from the Institutional Antiracism and Accountability Project includes autobiographies, graphic novels, children’s books, and much more.

AI could shore up democracy – here’s one way
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Commentary

AI could shore up democracy – here’s one way

What if AI turns out to be the one tool able to identify what makes your ideas special, recognizing your unique perspective and potential on the issues where it matters most?