Page 11: 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

Personality pairing improves human-AI collaboration

While artificial intelligence (AI) is receiving increased attention for its potential to improve productivity and performance, results can vary widely across different tasks, industries and individuals. Developers can now ...

Telecom

A roadmap for agentic 7G AI-powered wireless networks

A research team from the Hong Kong University of Science and Technology (HKUST) proposed a new Reasoning-Empowered Task-Oriented Communication (TOC) framework that enables AI agents to determine what information to share, ...

Business

Is there an AI bubble? No, but some tech companies show signs

Like past transformative technologies, from railroads and radio to the internet, artificial intelligence has attracted optimistic investors and inflated valuations, and with them speculation of a bubble market—when eager ...

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