Page 2: 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

Australia warns of 'unprecedented' AI threat

Artificial intelligence poses an "unprecedented" threat as foreign governments turn it loose to hack computer networks and critical infrastructure, Australia's cybersecurity agency warned on Tuesday.

Computer Sciences

Q&A: How AI came to model the 'messy' human mind

Generative artificial intelligence models are rooted in ideas of mid-20th-century engineers who thought some amount of irrationality was essential for a machine that could think like a human, contends Benjamin Lindquist, ...

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