Page 8: 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 making cyber attacks costlier and more effective: Munich Re

Artificial intelligence is making cyberattacks increasingly sophisticated and costlier for businesses, reinsurer Munich Re said Wednesday, warning of methods ranging from highly personalized phishing emails to computer-generated, ...

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.

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