Advancing Responsible AI in Public Sector Application GPAI Edition

Responsible use of AI in public sector applications requires engagement with various technical and non-technical areas such as human rights, inclusion, diversity, innovation and economic growth. The book covers topics spanning the technological socio-economic spectrum, including the potential of AI/...

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Bibliographic Details
Format: eBook
Language:English
Published: Taylor & Francis 2025
Subjects:
Artificial intelligence
Automatic control engineering
Computer science
Computing and Information Technology
Datasets
Electrical engineering
Electronics and communications engineering
Electronics engineering
Energy technology and engineering
Ethics
Information technology: general topics
Loop AI
Machine Learning
Mathematics and Science
Participatory AI
Politics and government
Privacy
Science funding and policy
Science: general issues
Scientific research
Society and Social Sciences
Technology, Engineering, Agriculture, Industrial processes
ISBN:9781003663577, 1003663575, 9781040427989, 9781032703930, 1040427987, 1040428029, 9781040428023, 1032703938
Online Access:Get full text
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Summary:Responsible use of AI in public sector applications requires engagement with various technical and non-technical areas such as human rights, inclusion, diversity, innovation and economic growth. The book covers topics spanning the technological socio-economic spectrum, including the potential of AI/ML technologies to address social and political inequities, privacy-enhancing technologies for datasets, friction-less data sharing and data stewardship models, regional/geographical inequities in extraction and so forth. Features: Focuses on technical aspects of responsible AI in the public sector Covers a wide range of topics spanning the technological socio-economic spectrum Presents viewpoints from public sector agencies as well as from practitioners Discusses privacy-enhancing technologies for collecting, processing and storing datasets, and friction Reviews frameworks to identify and address biased AI outcomes in the design, development and use of AI This book is aimed at professionals, researchers and students in artificial intelligence, computer science and engineering, policy-makers, social scientists, economists and lawyers.
ISBN:9781003663577
1003663575
9781040427989
9781032703930
1040427987
1040428029
9781040428023
1032703938
DOI:10.1201/9781003663577