000			03777cam a2200433 i 4500
001			on1305294974
003			OCoLC
005			20240726105216.0
008			220207t20222022maua ob 001 0 eng
010			_a2022003877
040			_aDLC _beng _erda _epn _cDLC _dOCLCF _dOCLCO _dORMDA _dNT _dYDX _dEBLCP _dOCLCQ _dYDX
020			_a9781647822828 _q((electronic)l(electronic)ctronic)
042			_apcc
050	0	4	_aQ334 _b.E845 2022
049			_aMAIN
100	1		_aBlackman, Reid, _e1
245	1	0	_aEthical machines : _byour concise guide to totally unbiased, transparent, and respectful AI / _cReid Blackman.
250			_aFirst ebook edition.
260			_aBoston, Massachusetts : _bHarvard Business Review Press, _c(c)2022.
300			_a1 online resource (unpaged) : _billustrations
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
504			_a2
505	0	0	_aIntroduction: AI for Good Not Bad -- _tHere's How You Should Think About Ethics -- _tBias: In Search of Fair AI -- _tExplainability: The Space Between the Inputs and the Outputs -- _tPrivacy: Ascending the Five Ethical Levels -- _tAI Ethics Statements that Actually Do Something -- _tConclusions Executives Should Come To -- _tAI Ethics by Developers -- _tConclusion: Two Surprises.
520	0		_a"The promise of artificial intelligence is automated decision-making at scale, but that means it also automates risk at scale. Are you prepared for that risk? Already, many companies have suffered real damage when their algorithms led to discriminatory, privacy-invading, and even deadly outcomes. Self-driving cars have hit pedestrians; HR algorithms have precluded women from job searches; mortgage systems have denied loans to qualified minorities. And often the companies who deployed the AI couldn't explain why the black box made the decision it did. In this environment, AI ethics isn't merely an academic curiosity, it's a business necessity. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge, then to build, procure, and deploy AI in an ethically (and thus reputationally, regulatory, and legally) safe way, and do it at scale. And don't worry, we're here to get work done, not to ponder deep and existential questions about ethics and technology. Blackman's clear and accessible writing helps make a complex and often misunderstood concept like ethics easy to grasp. You will understand ethical concepts while barely knowing you are taking them on. More importantly, Blackman makes ethics actionable. He tackles the big three ethical risks with AI-bias, explainability, and privacy-and tells you what to do (and what not to do) to mitigate ethical risks. With practical approaches to everything from how to write a strong statement of AI ethics principles to how to create teams that effectively evaluate ethical risks, Ethical Machines is the one guide you need to ensure you're using utterly unbiased, totally transparent, and remarkably respectful artificial intelligence"-- _cProvided by publisher
530			_a2 _ub
650		0	_aArtificial intelligence _xMoral and ethical aspects.
650		0	_aComputer algorithms _xMoral and ethical aspects.
650		0	_aData privacy.
650		0	_aDiscrimination.
650		0	_aComputers and civilization.
655		1	_aElectronic Books.
856	4	0	_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3077296&site=eds-live&custid=s3260518 _zClick to access digital title | log in using your CIU ID number and my.ciu.edu password
942			_cOB _D _eEB _hQ. _m2022 _QOL _R _x _8NFIC _2LOC
994			_a92 _bNT
999			_c92670 _d92670
902			_a1 _bCynthia Snell _c1 _dCynthia Snell