Page 2: 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

AI fails to make inroads with cybercriminals, study finds

Cybercriminals have been struggling to adopt AI in their work, reports the first-of-its-kind study that analyzed a dataset of 100 million posts from underground cybercrime communities. The study is published on the arXiv ...

Machine learning & AI

New report looks at how AI is impacting software development

Generative AI tools are rapidly transforming how software is built—and raising new risks in the process, according to a new TechBrief from the Association for Computing Machinery's Technology Policy Council (TPC) on the rise ...

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