Algorithmic regulation

Economic systems
Part of a series on
By ideology Anarchist Capitalist Christian Communist Corporatist Democratic Dirigist Distributionist Fascist Feudalism Georgist Green Islamic Laissez-faire Market socialist Mercantilist Mutualist Neo-mercantilist Participatory Protectionist Socialist State capitalist Syndicalist
By coordination Closed (autarky) Decentralized Digital Dual Gift Informal Market Mixed Natural Open Planned Robinson Crusoe Subsistence Underground Vertical archipelago Virtual
By regional model Asian East Asian Chinese Singaporean Soviet European Anglo-Saxon German Nordic Rhenish
Sectors Common property Private Public Voluntary
Transition Collectivization Communization Corporatization Demutualization Deregulation Expropriation Financialization Liberalization Marketization Municipalization Mutualization Nationalization Privatization Socialization
Coordination Barter Cybernetics Democratic Free market In kind Indicative planning Market Material balancing Planned Peer-to-peer Price Regulated market Self-managed Shared Access economy
Other types Corporate capitalism Expeditionary Hunter-gatherer Inclusive Democracy Information Islamic economics Manorialism Newly industrialized Palace Plantation Plutonomy Post-capitalist Post-industrial Post-scarcity Resource-based Social market Socialist market State monopoly capitalist Token Traditional Transition World
Business and economics portal

Algorithmic regulation is an alternative form of government where the advantages and usages of computer algorithms are applied to regulations and law enforcement. Written laws are not replaced but stressed to test its efficiency. It was coined by Tim O’Reilly, Founder and CEO of O'Reilly Media Inc.

Sometimes the “rules” aren’t really even rules. Gordon Bruce, the former CIO of the city of Honolulu, explained to me that when he entered government from the private sector and tried to make changes, he was told, “That’s against the law.” His reply was “OK. Show me the law.” “Well, it isn’t really a law. It’s a regulation.” “OK. Show me the regulation.” “Well, it isn’t really a regulation. It’s a policy that was put in place by Mr. Somebody twenty years ago.” “Great. We can change that!””
[...]

Laws should specify goals, rights, outcomes, authorities, and limits. If specified broadly, those laws can stand the test of time.

Regulations, which specify how to execute those laws in much more detail, should be regarded in much the same way that programmers regard their code and algorithms, that is, as a constantly updated toolset to achieve the outcomes specified in the laws.

[...]
It’s time for government to enter the age of big data. Algorithmic regulation is an idea whose time has come.^[1]

Algorithmic regulation is supposed to be a system of governance where more exact data collected from citizens via their smart devices and computers are used for more efficiency in organizing human life as a collective.^[2]^[3]

References

↑ Open Data and Algorithmic Regulation, Tim O’Reilly - Beyond Transparency
↑ A brief exchange with Tim O’Reilly about “algorithmic regulation”, Tim McCormick
↑ The rise of data and the death of politics, Evgeny Morozov. The Observer, Sunday 20 July 2014

This article is issued from Wikipedia - version of the 5/6/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.

Algorithmic regulation

See also

References