Page 3: 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

Why comparisons between AI and human intelligence miss the point

Claims that artificial intelligence (AI) is on the verge of surpassing human intelligence have become commonplace. According to some commentators, rapid advances in large language models signal an imminent tipping point—often ...

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