Page 13: 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.

Security

AI education could be crucial in tackling rising voice scams

A new study from Abertay University reveals that the most effective way to protect people from AI voice scams is not through traditional warning messages, but by educating them about how advanced and authentic AI voices have ...

Computer Sciences

Don't panic: 'Humanity's last exam' has begun

When artificial intelligence systems began acing long-standing academic assessments, researchers realized they had a problem: the tests were too easy. Popular evaluations, such as the Massive Multitask Language Understanding ...

Computer Sciences

How AI could help make society less selfish

The Care Bears taught a generation of kids that sharing is caring, but not everyone has carried this principle into adulthood. Researchers at Michigan State University have found a new angle to promote cooperation: artificial ...

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