| 000 | 03038cam a2200493 i 4500 | ||
|---|---|---|---|
| 001 | 21588692 | ||
| 003 | BJBSDDR | ||
| 005 | 20250901113458.0 | ||
| 007 | ta | ||
| 008 | 200626s2021 nyu b 001 0 eng | ||
| 010 | _a 2020029036 | ||
| 020 | _a9780393868333 (paperback) | ||
| 020 | _a0393868338 (paperback) | ||
| 020 |
_z9780393635836 _q(epub) |
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| 035 | _a21588692 | ||
| 040 |
_aDLC _beng _cDLC _erda _dDLC |
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| 041 | _aeng | ||
| 042 | _apcc | ||
| 050 | 1 | 4 |
_aQ 334.7 _bC555a 2021 |
| 082 | 0 | 0 | _a174/.90063 |
| 100 | 1 |
_aChristian, Brian, _d1984- _92034 |
|
| 245 | 1 | 4 |
_aThe alignment problem : _bmachine learning and human values / _cBrian Christian. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aNew York, NY : _bW.W. Norton & Company, _c2021 |
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| 300 |
_axvi, 476 pages ; _c21 cm |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 500 | _a"Brian Christian: best-selling author, Algorithms to Live by."--Cubierta | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aI. Prophecy 1. Representation 2. Fairness 3.Transparency II. Agency 4.Reinforcement 5. Shaping 6. Curiosity III.Normativity 7.Imitation 8. Inference 9. Uncertainty Conclusion | |
| 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. |
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| 650 | 0 |
_aArtificial intelligence _xMoral and ethical aspects. |
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| 650 | 4 |
_aInteligencia artificial _xAspectos éticos y morales _911265 |
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| 650 | 0 |
_aArtificial intelligence _xSocial aspects. |
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| 650 | 4 |
_aInteligencia artificial _xAspectos sociales _911263 |
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| 650 | 0 |
_aMachine learning _xSafety measures. |
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| 650 | 4 |
_aAprendizaje automático (Inteligencia artificial) _916131 |
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| 650 | 0 | _aSoftware failures. | |
| 650 | 0 | _aSocial values. | |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2lcc _cBK |
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| 999 |
_c124171 _d124171 |
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