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The ethics of artificial intelligence covers a broad range of topics within the field that are considered to have particular ethical stakes. [ 1 ] This includes algorithmic biases, fairness, automated decision-making, accountability, privacy, and regulation.
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 without direct enforcement power like the IEEE or ...
Nuremberg Code. The Nuremberg Code (‹See Tfd› German: Nürnberger Kodex) is a set of ethical research principles for human experimentation created by the court in U.S. v Brandt, one of the Subsequent Nuremberg trials that were held after the Second World War. Though it was articulated as part of the court's verdict in the trial, the Code ...
AI and AI ethics researchers Timnit Gebru, Emily M. Bender, Margaret Mitchell, and Angelina McMillan-Major have argued that discussion of existential risk distracts from the immediate, ongoing harms from AI taking place today, such as data theft, worker exploitation, bias, and concentration of power. [ 134 ]
AI alignment is an open problem for modern AI systems [39][40] and is a research field within AI. [41][1] Aligning AI involves two main challenges: carefully specifying the purpose of the system (outer alignment) and ensuring that the system adopts the specification robustly (inner alignment). [2]
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.
The mission of the institute is to advance artificial intelligence (AI) research, education, policy and practice to improve the human condition. [176] Collaboration with outside experts and various stakeholders facilitates ethical, inclusive, and accountable development of intelligent systems.
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.
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