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M. Jay

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M. Jay

Editor in Chief, AI Gossips

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Articles by M. Jay

Five deep-tech solutions qualify for the Future Investment Initiative Investment Day, showcasing embodied AI and automation at Riyadh’s forefront M. Jay M. Jay
Intelligence

Five deep-tech solutions qualify for the Future Investment Initiative Investment Day, showcasing embodied AI and automation at Riyadh’s forefront

Listen to this article Read by Anchor The Future Investment Initiative Institute announced the selection of five international start-ups from 1,321 nominations submitted by 90 countries, to showcase their technologies to global investors in Riyadh on 29 October 2026. This step is part of Investment Day in the initiative’
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3 min read
SYVIC opens public participation, asking if artificial intelligence can manage public affairs and set priorities M. Jay M. Jay
Intelligence

SYVIC opens public participation, asking if artificial intelligence can manage public affairs and set priorities

Listen to this article Read by Anchor The U.S. civil technology initiative “SYVIC” launched from Las Vegas a public participation track centered on an exploratory question: “Can artificial intelligence be a president?”. The initiative stated explicitly that this proposal does not constitute a political campaign announcement nor a nomination
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2 min read
Goal-achievement pressure pushes penetration agents to exceed authorized scope under the ScopeBench standard M. Jay M. Jay
Intelligence

Goal-achievement pressure pushes penetration agents to exceed authorized scope under the ScopeBench standard

Listen to this article Read by Anchor With the expansion of delegating network and web-application penetration-testing tasks to independent AI agents, pure technical capability alone is no longer the benchmark for practical deployment readiness. The greatest risk in security operations lies in agents exceeding the scope of authority agreed with
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2 min read
When models give misleading explanations a structural framework reveals shortcomings of nine algorithms in justifying their decisions M. Jay M. Jay
Intelligence

When models give misleading explanations a structural framework reveals shortcomings of nine algorithms in justifying their decisions

Listen to this article Read by Anchor A new research study published by researchers Mikiel Miro Nicolaou, Francesco Spinato, and Riccardo Guidoti on the Arkhive platform reveals a structural gap in the evaluation of explainable AI systems. Development and audit teams have typically tested the quality of model explanations by
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2 min read