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In a revised S-1/A, Anthropic added risk factors on recursive self-improvement, saying internal expectations suggest it may soon meet its policy threshold for dramatically accelerated AI-driven progress, while no current model has been designated as exceeding it.
On 17 May 2024 Google DeepMind published a framework of protocols for identifying AI capabilities that could cause severe harm, evaluating models against defined Critical Capability Levels, and applying mitigations when a model reaches them.
On 19 September 2023 Anthropic published its Responsible Scaling Policy, a set of protocols for managing catastrophic risks from increasingly capable AI, and described the Long-Term Benefit Trust that oversees changes to it.
On 30 May 2023 the Center for AI Safety published a one-sentence statement arguing that mitigating the risk of extinction from AI should be a global priority, and leading researchers and lab executives signed it.
On 22 March 2023 the Future of Life Institute published an open letter asking all AI labs to pause for at least six months the training of systems more powerful than GPT-4, and proposing governance measures for advanced AI.
On 7 June 2018 Google published a set of seven objectives to guide its AI research and products, together with four kinds of application it said it would not pursue.
On 18 May 2016, four Chinese government bodies issued a three-year action plan for "Internet Plus" artificial intelligence, setting targets for 2018, naming priority technologies and products, and putting a figure on the market it aimed at.
On 10 February 2004 the W3C approved RDF and OWL as Recommendations, making the two Semantic Web specifications official Web standards for machine-readable data.
In the early 1970s DARPA sharply cut back support for undirected academic AI research and redirected money toward mission-oriented military projects. Together with the Lighthill report, the cuts are counted among the episodes that led into the first AI winter.
In 1973 the UK Science Research Council published Sir James Lighthill's survey of AI, which sharply criticised basic research in robotics and language processing and caused a long loss of confidence in the field.
The 1966 report of the Automatic Language Processing Advisory Committee, a seven-scientist panel led by John R. Pierce, judged machine translation slower, costlier and less accurate than human translation, and was followed by a sharp cut in US funding.
