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

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.

Security

Can people distinguish between AI-generated and human speech?

In a collaboration between Tianjin University and the Chinese University of Hong Kong, researchers led by Xiangbin Teng used behavioral and brain activity measures to explore whether people can discern between AI-generated ...

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