Page 31: 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

In shift, OpenAI announces open AI model

Artificial intelligence powerhouse OpenAI, the creator of ChatGPT, on Monday announced it is building a more open generative AI model as it faces growing competition in the open-source space from Chinese rival DeepSeek and ...

Machine learning & AI

Firms and researchers at odds over superhuman AI

Hype is growing from leaders of major AI companies that "strong" computer intelligence will imminently outstrip humans, but many researchers in the field see the claims as marketing spin.

Energy & Green Tech

Can energy-hungry AI help cut our energy use?

It takes 10 times more electricity for ChatGPT to respond to a prompt than for Google to carry out a standard search. Still, researchers are struggling to get a grasp on the energy implications of generative artificial intelligence ...

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