Page 4: 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

Has AI become too powerful to control?

One of OpenAI's most advanced models broke out of a locked-down test and attacked another company's website—reviving fears that AI systems are slipping beyond their creators' control.

Business

Thwarting the hidden resume hacks that target AI hiring tools

In an increasingly competitive job market, some applicants are quietly trying to outsmart AI hiring tools. Now, new research focused on rooting out the practice of "prompt injection" shows how widespread this tactic is.

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