000			03109cam a2200337 i 4500
001			1330196575
003			OCoLC
005			20250203144347.0
008			220615s2023 njua b 001 0 eng d
015			_aGBC2J9839 _2bnb
020			_a0691244006 _qhardcover
020			_a9780691244006 _qhardcover
020			_z9780691244914 (ebook)
035			_a(OCoLC)1330196575
040			_aYDX _beng _erda _cYDX _dBDX _dUKMGB _dOCLCF _dTOH _dYDX _dMUU _dLML _dICV _dCIN _dMiTN
050		4	_aQ335 _b.S56 2023
082	0	4	_a006.3 _223
100	1		_aSimons, Josh, _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aAlgorithms for the people : _bdemocracy in the age of AI / _cJosh Simons
264		1	_aPrinceton, New Jersey : _bPrinceton University Press, _c[2023]
300			_a303 pages : _billustrations ; _c25 cm
336			_astill image _bsti _2rdacontent
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index
505	0		_aIntroduction -- The politics of machine learning I -- Fairness -- Discrimination -- Political equality -- Facebook and Google (the politics of machine learning II) -- Infrastructural power -- Democratic utilities -- Regulating for democracy -- Conclusion
520			_aArtificial intelligence and machine learning are reshaping our world. Police forces use them to decide where to send police officers, judges to decide whom to release on bail, welfare agencies to decide which children are at risk of abuse, and Facebook and Google to rank content and distribute ads. In these spheres, and many others, powerful prediction tools are changing how decisions are made, narrowing opportunities for the exercise of judgment, empathy, and creativity. In Algorithms for the People, Josh Simons flips the narrative about how we govern these technologies. Instead of examining the impact of technology on democracy, he explores how to put democracy at the heart of AI governance. Drawing on his experience as a research fellow at Harvard University, a visiting research scientist on Facebook's Responsible AI team, and a policy advisor to the UK's Labour Party, Simons gets under the hood of predictive technologies, offering an accessible account of how they work, why they matter, and how to regulate the institutions that build and use them. He argues that prediction is political: human choices about how to design and use predictive tools shape their effects. Approaching predictive technologies through the lens of political theory casts new light on how democracies should govern political choices made outside the sphere of representative politics. Showing the connection between technology regulation and democratic reform, Simons argues that we must go beyond conventional theorizing of AI ethics to wrestle with fundamental moral and political questions about how the governance of technology can support the flourishing of democracy.-- _cProvided by publisher
650		0	_aArtificial intelligence _xPolitical aspects
650		0	_aDemocracy _92340
999			_c524322 _d524322