Page 19: 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

Six criteria for the reliability of AI

Language models based on artificial intelligence (AI) can answer any question, but not always correctly. It would be helpful for users to know how reliable an AI system is. A team at Ruhr University Bochum and TU Dortmund ...

Business

The AI boom hits a crossroads in 2026

After three years of breakneck growth and soaring valuations, the AI industry enters 2026 with some of the euphoria giving way to tough questions.

Machine learning & AI

UN rights chief warns over generative AI

The UN on Monday warned that generative AI could become "a modern-day Frankenstein's monster," with human rights the first casualty, as powerful tech giants unleash the technology on the world.

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