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Advancing responsible AI in public sector application / (Record no. 140961)

MARC details
000 -LEADER
fixed length control field 01841nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260604151732.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260604s2026 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032703930
040 ## - CATALOGING SOURCE
Transcribing agency PK-LaUMT
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 350.28563
Item number ADV-
245 00 - TITLE STATEMENT
Title Advancing responsible AI in public sector application /
Statement of responsibility, etc edited by Balaraman Ravindran and Abhishek Singh
250 ## - EDITION STATEMENT
Edition statement GPAI ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton :
Name of publisher, distributor, etc CRC Press,
Date of publication, distribution, etc 2026
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 217 p.
500 ## - GENERAL NOTE
General note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc 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
546 ## - LANGUAGE NOTE
Language note Eng
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element AI-public administration
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ravindran, Balaraman
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Abhishek Singh
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Home library Current library Date acquired Full call number Barcode Date last seen Price effective from Koha item type
      UMT Main Campus UMT Main Campus 2026-06-04 350.28563 ADV- 152935 2026-06-04 2026-06-04 Books