Page 7: 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.

Computer Sciences

New AI testing method flags fairness risks in autonomous systems

Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping ...

Machine learning & AI

Dubious AI detectors drive 'pay-to-humanize' scam

Feed an Iranian news dispatch or a literary classic into some text detectors, and they return the same verdict: AI-generated. Then comes the pitch: pay to "humanize" the writing, a pattern experts say bears the hallmarks ...

Machine learning & AI

Life with AI causing human brain 'fry'

Heavy users of artificial intelligence report being overwhelmed by trying to keep up with and on top of the technology designed to make their lives easier.

Machine learning & AI

Why AI still can't beat a new video game

For decades, video games have served as a proving ground for artificial intelligence. From early checkers programs to systems that conquered chess and Go, each milestone has seemed to bring machines closer to human-like intelligence. ...

Business

At 50, Apple confronts its next big challenge: AI

Apple celebrates its 50th anniversary as artificial intelligence challenges the Silicon Valley legend to prove it can deliver yet another culture-changing innovation.

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