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The Biden administration plans to convene a global safety summit on artificial intelligence, it said on Wednesday, as Congress continues to struggle with regulating the technology. Commerce ...
He emphasized the need for independent safety evaluations, stating that AI companies cannot "mark their own homework". [4] During the summit in November 2023, the UK AISI was officially established as an evolution of the Frontier AI Taskforce, [5] and the US AISI as part of the NIST. Japan followed by launching an AI safety institute in ...
The AI Safety Summit was an international conference discussing the safety and regulation of artificial intelligence. It was held at Bletchley Park, Milton Keynes, United Kingdom, on 1–2 November 2023. [2] It was the first ever global summit on artificial intelligence, and is planned to become a recurring event.
Last year, a who’s who of world leaders, corporate executives and academic experts gathered at Britain’s Bletchley Park for the world’s first global AI Safety Summit, hoping to reach ...
U.S. Secretary of State Antony Blinken and Raimondo will host the summit in San Francisco between Nov. 20-21, convening the International Network of AI Safety Institutes, which nations aimed to ...
The Therapeutic Goods Administration (TGA) is the medicine and therapeutic regulatory agency of the Australian Government. [4] As part of the Department of Health and Aged Care, the TGA regulates the safety, quality, efficacy and advertising in Australia of therapeutic goods (which comprise medicines, medical devices, biologicals and certain other therapeutic goods).
The AI Safety Summit will reconvene in South Korea in six months and then in France in a year. While this week’s gathering hasn’t transformed U.S.-China relations, future Summits might serve ...
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.