Page 36: 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

Top scientist wants to prevent AI from going rogue

Concerned about the rapid spread of generative AI, a pioneer researcher is developing software to keep tabs on a technology that is increasingly taking over human tasks.

Consumer & Gadgets

Exploring the real reasons why some people choose not to use AI

Generative artificial intelligence is everywhere, but not everyone is ready to embrace it—and it's not just people who fear that AI might replace their jobs or that ChatGPT will become sentient and take over the world.

Machine learning & AI

How trustworthy is AI?

Artificial intelligence is everywhere—writing emails, recommending movies and even driving cars—but what about the AI you don't see? Who (or what) is behind the scenes developing the algorithms that go unnoticed? And can ...

Computer Sciences

AI approach developed with human decision-makers in mind

As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap between promise and practice, Jann Spiess, an associate professor of operations, information, and technology ...

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