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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.
The development of public sector strategies for management and regulation of AI is deemed necessary at the local, national, [33] and international levels [34] and in a variety of fields, from public service management [35] and accountability [36] to law enforcement, [34] [37] healthcare (especially the concept of a Human Guarantee), [38] [39 ...
Government by algorithm [1] (also known as algorithmic regulation, [2] regulation by algorithms, algorithmic governance, [3] [4] algocratic governance, algorithmic legal order or algocracy [5]) is an alternative form of government or social ordering where the usage of computer algorithms is applied to regulations, law enforcement, and generally any aspect of everyday life such as ...
Regulation of algorithms, rules and laws for algorithms Topics referred to by the same term This disambiguation page lists articles associated with the title Algorithmic regulation .
Algorithmic management is a term used to describe certain labor management practices in the contemporary digital economy. In scholarly uses, the term was initially coined in 2015 by Min Kyung Lee, Daniel Kusbit, Evan Metsky, and Laura Dabbish to describe the managerial role played by algorithms on the Uber and Lyft platforms, [1] [2] but has since been taken up by other scholars to describe ...
The NIST Dictionary of Algorithms and Data Structures [1] is a reference work maintained by the U.S. National Institute of Standards and Technology.It defines a large number of terms relating to algorithms and data structures.
Certifying algorithm; Chandy–Misra–Haas algorithm resource model; Chinese whispers (clustering method) Collaborative diffusion; Collective operation; Collision problem; Communication-avoiding algorithm
Algorithmic accountability refers to the allocation of responsibility for the consequences of real-world actions influenced by algorithms used in decision-making processes. [ 1 ] Ideally, algorithms should be designed to eliminate bias from their decision-making outcomes.