| 000 | 05464nam a2200697 i 4500 | ||
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| 001 | 9780750361163 | ||
| 003 | IOP | ||
| 005 | 20251030124221.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 230801s2023 enka fob 000 0 eng d | ||
| 020 |
_a9780750361163 _qebook |
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| 020 |
_a9780750361156 _qmobi |
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| 020 |
_z9780750361125 _qprint |
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_z9780750361132 _qmyPrint |
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| 024 | 7 |
_a10.1088/978-0-7503-6116-3 _2doi |
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| 035 | _a(CaBNVSL)thg00083640 | ||
| 035 | _a(OCoLC)1391996871 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aQ334.7 _b.M753 2023eb |
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| 072 | 7 |
_aUYQ _2bicssc |
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| 072 | 7 |
_aCOM004000 _2bisacsh |
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| 100 | 1 |
_aMukherjee, Animesh, _eauthor. _996816 |
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| 245 | 1 | 0 |
_aAI and ethics : _ba computational perspective / _cAnimesh Mukherjee. |
| 246 | 3 |
_aArtificial intelligence and ethics : _ba computational perspective. |
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| 264 | 1 |
_aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : _bIOP Publishing, _c[2023] |
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| 300 |
_a1 online resource (various pagings) : _billustrations (some color). |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 | _a[IOP release $release] | |
| 490 | 1 | _aIOP series in next generation computing | |
| 490 | 1 | _aIOP ebooks. [2023 collection] | |
| 500 | _a"Version: 20230701"--Title page verso. | ||
| 504 | _aIncludes bibliographical references. | ||
| 505 | 0 | _a1. Preamble -- 1.1. What is ethics? -- 1.2. What is AI? -- 1.3. What is AI and ethics? -- 1.4. What is a computational perspective? | |
| 505 | 8 | _a2. Discrimination, bias, and fairness -- 2.1. Chapter foreword -- 2.2. Sensitive attributes -- 2.3. Notions of discrimination -- 2.4. Types of bias -- 2.5. Operationalizing fairness -- 2.6. Relationships between fairness metrics -- 2.7. Individual versus group fairness | |
| 505 | 8 | _a3. Algorithmic decision making -- 3.1. Chapter foreword -- 3.2. The ProPublica report -- 3.3. Gender shades -- 3.4. Fair ML | |
| 505 | 8 | _a4. Content governance -- 4.1. Chapter foreword -- 4.2. Content dissemination -- 4.3. Content moderation | |
| 505 | 8 | _a5. Interpretable versus explainable models -- 5.1. Chapter foreword -- 5.2. What is interpretability? -- 5.3. What is explainability? -- 5.4. Operationalizing interpretability -- 5.5. Operationalizing explainability | |
| 505 | 8 | _a6. Newly emerging paradigms -- 6.1. Chapter foreword -- 6.2. Ethical use of AI for law enforcement -- 6.3. Data protection and user privacy -- 6.4. Moral machines -- 6.5. Singularity and ethics. | |
| 520 | 3 | _aDeveloped from a graduate course this book examines some of the deep issues that have become very relevant due to the increasing use of AI in recent times. The book discusses various aspects ranging from the effects of proliferation of algorithmic decision making, autonomous systems, explainability in machine learning, the question of balance between regulation and innovation, the adversarial role of AI in information dissemination and the questions of individual rights, fairness and discrimination. Taking a computational approach, rather than one dominated by philosophical or legal discussions, this book is geared toward increasing awareness of the immediate moral and legal repercussions of the presence and possibly dominance of AI in our society. Part of IOP Series in Next Generation Computing. | |
| 521 | _aStudents and researchers from subjects such as computing, mathematics and the sciences. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web. | ||
| 538 | _aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. | ||
| 545 | _aPresently, Animesh Mukherjee is a Full Professor in the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur. He is also a distinguished Member of ACM. His main research interests centre around content governance which includes: (i) content moderation (harmful content analysis, detection, and mitigation); (ii) content dissemination (fairness issues in e-commerce platforms and interfaced systems like facial recognition, automatic speech recognition systems etc); and (iii) content maintenance (quality analysis and improvement of encyclopaedias like Wikipedia and large software systems like Ubuntu releases). He regularly publishes in all top CS conferences including AAAI, IJCAI, ACL, NAACL, EMNLP, The Web Conference, CSCW etc. He has received many notable awards and fellowships including the Facebook ethics for AI research award, India, Google course award for the course AI and Ethics, IBM faculty award, Humboldt Fellowship for Experienced Researchers, Simons Associateship, ICTP to name a few. | ||
| 588 | 0 | _aTitle from PDF title page (viewed on August 1, 2023). | |
| 650 | 0 |
_aArtificial intelligence _xMoral and ethical aspects. _958209 |
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| 650 | 7 |
_aArtificial intelligence. _2bicssc _958441 |
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| 650 | 7 |
_aCOMPUTERS / Artificial Intelligence / General. _2bisacsh |
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| 710 | 2 |
_aInstitute of Physics (Great Britain), _epublisher. _917702 |
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| 776 | 0 | 8 |
_iPrint version: _z9780750361125 _z9780750361132 |
| 830 | 0 |
_aIOP (Series). _pRelease 23. |
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| 830 | 0 |
_aIOP series in next generation computing. _996544 |
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| 830 | 0 |
_aIOP ebooks. _p2023 collection. |
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| 856 | 4 | 0 | _uhttps://iopscience.iop.org/book/mono/978-0-7503-6116-3 |
| 942 | _cE-Books | ||
| 999 |
_c68445 _d68445 |
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