000			02415nam a2200373 i 4500
001			sky301168781
003			SKY
005			20250203144118.0
008			200626s2020 nyu b 001 0 eng
010			_a2020029036
020			_a0393635821 _q(hardcover)
020			_a9780393635829 _q(hardcover)
040			_aDLC _beng _erda _cDLC _dSKYRV _dMiTN
042			_apcc
050	0	0	_aQ334.7 _b.C47 2020
082	0	0	_a174/.90063 _223
092			_a174.9006 CHR
100	1		_aChristian, Brian, _d1984-
245	1	4	_aThe alignment problem : _bmachine learning and human values / _cBrian Christian.
250			_aFirst edition.
264		1	_aNew York : _bW.W. Norton & Company, _c[2020]
300			_axii, 476 pages ; _c25 cm.
336			_atext _btxt _2rdacontent.
337			_aunmediated _bn _2rdamedia.
338			_avolume _bnc _2rdacarrier.
504			_aIncludes bibliographical references and index.
505	0		_aProphecy. Representation ; Fairness ; Transparency -- Agency. Reinforcement ; Shaping ; Curiosity -- Normativity. Imitation ; Inference ; Uncertainty.
520			_a"A jaw-dropping exploration of everything that goes wrong when we build AI systems-and the movement to fix them. Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill. When systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. In best-selling author Brian Christian's riveting account, we meet the alignment problem's "first-responders," and learn their ambitious plan to solve it before our hands are completely off the wheel."-- _cProvided by publisher.
650		0	_aArtificial intelligence _xMoral and ethical aspects.
650		0	_aArtificial intelligence _xSocial aspects. _94496
650		0	_aMachine learning _xSafety measures.
650		0	_aSocial values. _93299
650		0	_aSoftware failures.
999			_c523508 _d523508