Machine Learning for High Risk Applications Approaches to Responsible AI (Record no. 814568)

MARC details
000 -LEADER
fixed length control field 02366nam a22002897a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240115s2023 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781098102432
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9781098102432
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number HAL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Hall, Patrick
9 (RLIN) 879930
Relator term author
245 ## - TITLE STATEMENT
Title Machine Learning for High Risk Applications Approaches to Responsible AI
250 ## - EDITION STATEMENT
Edition statement 1st
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Beijing :
Name of publisher, distributor, etc. O'Reilly,
Date of publication, distribution, etc. c2023
300 ## - PHYSICAL DESCRIPTION
Extent xxi, 438 p.
Other physical details : ill
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY<br/><br/>The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks.<br/><br/>This book describes approaches to responsible AI—a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.<br/><br/> Learn technical approaches for responsible AI across explainability, model validation and debugging, bias management, data privacy, and ML security<br/> Learn how to create a successful and impactful AI risk management practice<br/> Get a basic guide to existing standards, laws, and assessments for adopting AI technologies, including the new NIST AI Risk Management Framework<br/> Engage with interactive resources on GitHub and Colab
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 845
Topical term or geographic name entry element Machine Learning
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 152180
Topical term or geographic name entry element Risk Management
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 161081
Topical term or geographic name entry element Artificial Intelligence
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term author
Personal name Curtis, James
9 (RLIN) 879931
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term author
Personal name Pandey, Parul
9 (RLIN) 879932
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term forwarded
Personal name Sudjianto, Agus
9 (RLIN) 879941
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781098102432.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781098102432.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.oreilly.com/library/view/machine-learning-for/9781098102425/?_gl=1*10zza40*_ga*NjExNTU4NzgzLjE3MDQ4NjM4MjE.*_ga_092EL089CH*MTcwNTA1NTE5MC4zLjEuMTcwNTA1NTQyNS41NS4wLjA.">https://www.oreilly.com/library/view/machine-learning-for/9781098102425/?_gl=1*10zza40*_ga*NjExNTU4NzgzLjE3MDQ4NjM4MjE.*_ga_092EL089CH*MTcwNTA1NTE5MC4zLjEuMTcwNTA1NTQyNS41NS4wLjA.</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Paperback     Reference Section Reference Section Reference Section 09/01/2024 39 Purchased 23221.82   006.31 HAL 98571 09/01/2024 2023-2024 27319.79 09/01/2024 Reference Collection