Page 4: 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

Meta says its new AI models on par with OpenAI, Anthropic

Meta on Monday unveiled two new "frontier" artificial intelligence models called Wonder and Wonder Full, which the company claims perform at a level comparable to that of OpenAI's ChatGPT and Anthropic's Claude.

Machine learning & AI

Just 10 minutes of AI use may erode persistence on hard tasks

Brian Christian has spent 20 years thinking about how artificial intelligence will change our minds and our world. His 2020 book "The Alignment Problem" has been praised as one of the best on AI, and like many scientists, ...

Machine learning & AI

'Human-authored' book labels gain ground amid AI scandals

Initiatives to label books as written by humans, not artificial intelligence, are gaining ground following a string of scandals in which authors were suspected of using the technology without admitting it.

Machine learning & AI

Fired researchers accuse OpenAI of 'chilling' safety efforts

Three former OpenAI security researchers on Thursday accused the ChatGPT maker of firing them for warning about the dangers of artificial intelligence, reigniting the debate over safety at a company whose software has been ...

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