Page 11: 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

In a world of AI text, speech still reigns supreme

I remember the first time I attended a linguistics lecture as an undergraduate in Argentina. The lecturer asked a simple question: where does language come from? My instinctive answer was: books.

Machine learning & AI

AI agent 'lobster fever' grips China despite risks

Chinese entrepreneur Frank Gao used to spend long hours running his social media accounts but now outsources the chore to AI agent tool OpenClaw, which is taking the country by storm despite official warnings over cybersecurity.

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