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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.
By December 2023, the Ministry of Innovation and the Ministry of Justice published a joint AI regulation and ethics policy paper, outlining several AI ethical principles and a set of recommendations including opting for sector-based regulation, a risk-based approach, preference for "soft" regulatory tools and maintaining consistency with ...
A typical rule-based system has four basic components: [3] A list of rules or rule base, which is a specific type of knowledge base.; An inference engine or semantic reasoner, which infers information or takes action based on the interaction of input and the rule base.
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 ...
Jess is a rule engine for the Java computing platform, written in the Java programming language. It was developed by Ernest Friedman-Hill of Sandia National Laboratories. [1] It is a superset of the CLIPS language. [1] It was first written in late 1995. [1]
(1974) "Self Regulation" — E-type system evolution processes are self-regulating with the distribution of product and process measures close to normal. [ 4 ] (1978) "Conservation of Organisational Stability ( invariant work rate )" — the average effective global activity rate in an evolving E-type system is invariant over the product's ...
The European Union General Data Protection Regulation (enacted 2016, taking effect 2018) extends the automated decision-making rights in the 1995 Data Protection Directive to provide a legally disputed form of a right to an explanation, stated as such in Recital 71: "[the data subject should have] the right ... to obtain an explanation of the decision reached".
[4] It covers all types of AI across a broad range of sectors, with exceptions for AI systems used solely for military, national security, research and non-professional purposes. [5] As a piece of product regulation, it does not confer rights on individuals, but regulates the providers of AI systems and entities using AI in a professional ...