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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.
They argue that AI can be licensed under terms that require adherence to specified ethical practices and codes of conduct. (e.g., soft law principles). [28] Prominent youth organizations focused on AI, namely Encode Justice, have also issued comprehensive agendas calling for more stringent AI regulations and public-private partnerships. [29] [30]
A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic or procedure. The algorithm typically uses uniformly random bits as an auxiliary input to guide its behavior, in the hope of achieving good performance in the "average case" over all possible choices of random determined by the random bits; thus either the running time, or the output (or both) are ...
The Model Audit Rule 205, Model Audit Rule, or MAR 205 are the commonly applied terms for the Annual Financial Reporting Model Regulation. [1] Model Audit Rule is a financial reporting regulation applicable to insurance companies, and borrows significantly from the Sarbanes Oxley Act of 2002 (see ‘key sections’ below).
Insurance regulatory law is the body of statutory law, administrative regulations and jurisprudence that governs and regulates the insurance industry and those engaged in the business of insurance. Insurance regulatory law is primarily enforced through regulations, rules and directives by state insurance departments as authorized and directed ...
In computing, a Monte Carlo algorithm is a randomized algorithm whose output may be incorrect with a certain (typically small) probability. Two examples of such algorithms are the Karger–Stein algorithm [ 1 ] and the Monte Carlo algorithm for minimum feedback arc set .
Then, there might be a tie. Following the weight update rule in weighted majority algorithm, the predictions made by the algorithm would be randomized. The algorithm calculates the probabilities of experts predicting positive or negatives, and then makes a random decision based on the computed fraction: [further explanation needed] predict
Pages in category "Randomized algorithms" The following 44 pages are in this category, out of 44 total. ... Code of Conduct; Developers; Statistics; Cookie statement;