05301nam a2200649 i 45000010014000000030004000140050017000180060019000350070015000540080041000690200025001100200024001350200025001590200027001840240035002110350025002460350022002710400040002930500025003330720016003580720023003741000033003972450071004302460071005012640098005723000071006703360021007413370026007623380032007884900027008204900044008474900034008915000043009255040041009685050136010095050274011455050128014195050108015475050220016555050199018755200812020745210092028865300029029785380036030075380078030435451047031215880058041686500056042266500037042826500060043197100054043797760049044338300031044828300045045138300034045588560059045929780750361163IOP20251030124221.0m    eo  d        cr cn |||m|||a230801s2023    enka   fob    000 0 eng d  a9780750361163qebook  a9780750361156qmobi  z9780750361125qprint  z9780750361132qmyPrint7 a10.1088/978-0-7503-6116-32doi  a(CaBNVSL)thg00083640  a(OCoLC)1391996871  aCaBNVSLbengerdacCaBNVSLdCaBNVSL 4aQ334.7b.M753 2023eb 7aUYQ2bicssc 7aCOM0040002bisacsh1 aMukherjee, Animesh,eauthor.10aAI and ethics :ba computational perspective /cAnimesh Mukherjee.3 aArtificial intelligence and ethics :ba computational perspective. 1aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :bIOP Publishing,c[2023]  a1 online resource (various pagings) :billustrations (some color).  atext2rdacontent  aelectronic2isbdmedia  aonline resource2rdacarrier1 a[IOP release $release]1 aIOP series in next generation computing1 aIOP ebooks. [2023 collection]  a"Version: 20230701"--Title page verso.  aIncludes bibliographical references.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?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 fairness8 a3. Algorithmic decision making -- 3.1. Chapter foreword -- 3.2. The ProPublica report -- 3.3. Gender shades -- 3.4. Fair ML8 a4. Content governance -- 4.1. Chapter foreword -- 4.2. Content dissemination -- 4.3. Content moderation8 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 explainability8 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.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.  aStudents and researchers from subjects such as computing, mathematics and the sciences.  aAlso available in print.  aMode of access: World Wide Web.  aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.  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.0 aTitle from PDF title page (viewed on August 1, 2023). 0aArtificial intelligencexMoral and ethical aspects. 7aArtificial intelligence.2bicssc 7aCOMPUTERS / Artificial Intelligence / General.2bisacsh2 aInstitute of Physics (Great Britain),epublisher.08iPrint version:z9780750361125z9780750361132 0aIOP (Series).pRelease 23. 0aIOP series in next generation computing. 0aIOP ebooks.p2023 collection.40uhttps://iopscience.iop.org/book/mono/978-0-7503-6116-3