Page 34: Research news on Generative AI ethics

Generative AI ethics examines how text-, image-, and audio-generating systems reshape cognition, creativity, work practices, and public decision-making, and how these changes raise normative and regulatory questions. The field investigates trust and distrust in algorithmic guidance, human–AI collaboration in creative and professional domains, risks such as misinformation, bias, rights violations, and safety failures, and the erosion or transformation of expertise. It integrates humanities and socio-technical perspectives to guide responsible deployment, governance, and human-centric design of generative AI systems.

Machine learning & AI

New method can teach AI to admit uncertainty

In high-stakes situations like health care—or weeknight "Jeopardy!"—it can be safer to say "I don't know" than to answer incorrectly. Doctors, game show contestants, and standardized test-takers understand this, but most ...

Machine learning & AI

Where did the wonder go, and can AI help us find it?

French philosopher René Descartes crowned human reason in 1637 as the foundation of existence: "Cogito, ergo sum"—"I think, therefore I am." For centuries, our capacity to doubt, question and think has been both our compass ...

Machine learning & AI

Justice at stake as generative AI enters the courtroom

Generative artificial intelligence (GenAI) is making its way into courts despite early stumbles, raising questions about how it will influence the legal system and justice itself.

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