Page 20: 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.

Consumer & Gadgets

Fairness in AI: Study shows central role of human decision-making

AI-supported recommender systems should provide users with the best possible suggestions for their inquiries. These systems often have to serve different target groups and take other stakeholders into account who also influence ...

Electronics & Semiconductors

AI's $400 bn problem: Are chips getting old too fast?

In pursuit of the AI dream, the tech industry this year has plunked down about $400 billion on specialized chips and data centers, but questions are mounting about the wisdom of such unprecedented levels of investment.

Consumer & Gadgets

How 'everyday AI' encourages overconsumption

From automatically generated overviews to chatbots in spreadsheets, so-called artificial intelligence is increasingly being integrated into our watches, phones, home assistants and other smart devices.

Consumer & Gadgets

Using food to uncover AI's cultural blind spots

CISPA researcher Tejumade Àfọ̀njá has co-authored a new international study that uses food as a starting point to reveal significant cultural blind spots in today's AI systems. The study also introduces a new participatory ...

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