AI governance addresses the design, implementation, and evaluation of legal, institutional, and procedural mechanisms that guide the development and deployment of artificial intelligence systems. It encompasses national and international regulatory frameworks, management-based regulation, and dynamic governance models aimed at mitigating societal and existential risks. The domain integrates AI ethics, safety standards, red-teaming, and accountability tools, and involves multistakeholder participation in setting global norms, establishing red lines, and aligning AI infrastructure and literacy initiatives with evidence-based public policy.
Telecom
There's a major difference between humans and current artificial intelligence (AI) capabilities: common sense. According to a new paper by Walid Saad, professor in the College of Engineering and the Next-G Wireless Lead at ...
Mar 18, 2025
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Business
The EU has a long-established reputation as a global standard setter, and as a reliable partner for international regulatory cooperation, especially in the digital field. But the second Trump administration is disrupting ...
Mar 12, 2025
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Engineering
A review explores the role of AI in engineering, assessing the benefits and challenges of the synergy between the two fields. A 2004 DARPA contest pitted AI vehicles against one another in a race on 150 miles of dirt roads. ...
Mar 11, 2025
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44
Hi Tech & Innovation
Imagine a not-too-distant future where you let an intelligent robot manage your finances. It knows everything about you. It follows your moves, analyzes markets, adapts to your goals and invests faster and smarter than you ...
Mar 10, 2025
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Machine learning & AI
For over 30 years, science photographer Felice Frankel has helped MIT professors, researchers, and students communicate their work visually. Throughout that time, she has seen the development of various tools to support the ...
Mar 6, 2025
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