Page 23: 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

Q&A: Can the tech behind crypto help align AI with human values?

As people increasingly use artificial intelligence (AI) in various areas of life to either save time or improve performance, the influence of AI systems grows—as does the risk of untrustworthy results in high-stakes decision-making, ...

Machine learning & AI

Strength of gender biases in AI images varies across languages

Researchers at the Technical University of Munich (TUM) and TU Darmstadt have studied how text-to-image generators deal with gender stereotypes in various languages. The results show that the models not only reflect gender ...

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