TY  - BOOK
AU  - Mukherjee,Animesh
ED  - Institute of Physics (Great Britain),
TI  - AI and ethics: a computational perspective 
T2  - [IOP release $release]
SN  - 9780750361163
AV  - Q334.7 .M753 2023eb
PY  - 2023///]
CY  - Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK)
PB  - IOP Publishing
KW  - Artificial intelligence
KW  - Moral and ethical aspects
KW  - bicssc
KW  - COMPUTERS / Artificial Intelligence / General
KW  - bisacsh
N1  - "Version: 20230701"--Title page verso; Includes bibliographical references; 1. 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?; 2. 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; 3. Algorithmic decision making -- 3.1. Chapter foreword -- 3.2. The ProPublica report -- 3.3. Gender shades -- 3.4. Fair ML; 4. Content governance -- 4.1. Chapter foreword -- 4.2. Content dissemination -- 4.3. Content moderation; 5. 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; 6. 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; Students and researchers from subjects such as computing, mathematics and the sciences; Also available in print
N2  - Developed 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
UR  - https://iopscience.iop.org/book/mono/978-0-7503-6116-3
ER  -