Page 6: 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.

Internet

What platforms need to consider when labeling AI-generated images

AI-generated images are widespread on social media. Starting in August 2026, platforms will be required under the EU AI Act to label certain types of such content. A study by CISPA researcher Sandra Höltervennhoff investigates ...

Machine learning & AI

Survey finds generational gap in attitudes to AI romance

Almost 50% of young adults in six major economies think AI romantic companionship will improve human happiness through emotional support in the next decade, the results of a large survey suggested Monday.

Machine learning & AI

The race to regulate AI systems has lawyers getting creative

Can an artificial intelligence tool, such as a chatbot, be held responsible if people committed crimes based on information they got from the tool? Should chatbots, which are programmed to closely mimic human thought patterns ...

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