000			03690cam a2200325 i 4500
001			20744741
005			20240726160030.0
008			181115s2019 nyua b 001 0 eng
010			_a 2018054792
020			_a9780525560883 (hardcover)
020			_z9780525560890 (ebook)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aQ335 _b.H675 2019
082	0	0	_a006.3 _223
100	1		_aHosanagar, Kartik, _eauthor.
245	1	2	_aA human's guide to machine intelligence : _bhow algorithms are shaping our lives and how we can stay in control / _cKartik Hosanagar.
264		1	_aNew York, New York : _bViking, _c[2019]
300			_a262 pages : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
365			_bRs. 399.00
504			_aIncludes bibliographical references and index.
505			_aPreface - Introduction – Part 1: The Rogue code: 1. Free will in an Algorithmic world - 2. The law of unanticipated consequences - Part 2: Algorithmic Thinking: 3. Omelet recipes for computers: How algorithms are programmed - 4. Algorithms become intelligent: A brief history of AI - 5. Machine learning and the predictability- resilience paradox - 6. The psychology of algorithms – Part 3: Taming the Code: 7. In algorithms we trust - 8. Which is to be master- Algorithm or user? - 9. Inside the Black Box - 10. An algorithm bill of rights – Conclusion: The games algorithms play – Acknowledgements – Notes – Index.
520			_aA Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We’ve even delegated life-and-death decisions to algorithms–decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators–that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally–as well as on history, computer science, and psychology–to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft’s chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human’s Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user’s guide to this first wave of practical artificial intelligence.
650		0	_aArtificial intelligence _vPopular works.
650		0	_aAlgorithms _vPopular works.
650		0	_aExpert systems (Computer science) _vPopular works.
650		0	_aArtificial intelligence _xSocial aspects _vPopular works.
942			_2ddc _cBK
999			_c212652 _d212652