Page 15: 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.

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.

Machine learning & AI

Startups bet on AI—and a leaner future

When Eric Lauer needs to hire at Giftory, the online gift-giving platform he runs, he's no longer looking for eager young coders fresh out of college.

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