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Regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI). It is part of the broader regulation of algorithms. [1][2] The regulatory and policy landscape for AI is an emerging issue in jurisdictions worldwide, including for international organizations ...
While the AI Act's text says some companies will be obliged to provide detailed summaries of the data used to train their AI models, the code of practice is expected to make clearer just how ...
Legal aspects of computing. Regulation of algorithms, or algorithmic regulation, is the creation of laws, rules and public sector policies for promotion and regulation of algorithms, particularly in artificial intelligence and machine learning. [1][2][3] For the subset of AI algorithms, the term regulation of artificial intelligence is used.
The Artificial Intelligence Act (AI Act) [a] is a European Union regulation concerning artificial intelligence (AI). It establishes a common regulatory and legal framework for AI within the European Union (EU). [1] It came into force on 1 August 2024, [2] with provisions that shall come into operation gradually over the following 6 to 36 months.
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.
Once a Markov chain is learned on a text corpus, it can then be used as a probabilistic text generator. [29] [30] The terms generative AI planning or generative planning were used in the 1980s and 1990s to refer to AI planning systems, especially computer-aided process planning, used to generate sequences of actions to reach a specified goal.
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