MARC details
| 000 -LEADER |
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| fixed length control field |
02489nam a22003257a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
23340084 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240503162051.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240426b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789355429728 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
IIITD |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.31 |
| Item number |
HAL-M |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Hall, Patrick |
| 245 10 - TITLE STATEMENT |
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| Title |
Machine learning for high-risk applications : |
| Remainder of title |
approaches to responsible AI |
| Statement of responsibility, etc |
by Patrick Hall, James Curtis and Parul Pandey |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Beijng : |
| Name of publisher, distributor, etc |
O'Reilly, |
| Date of publication, distribution, etc |
©2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxi, 438 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 501 ## - WITH NOTE |
|---|
| With note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Title |
Part 1. Theories and practical applications of AI risk management. Contemporary machine learning risk management -- Interpretable and explainable machine learning -- Debugging machine learning systems for safety and performance -- Managing bias in machine learning -- Security for machine learning -- |
| -- |
Part 2. Putting AI risk management into action. Explainable boosting machines and explaining XGBoost -- Explaining a PyTorch image classifier -- Selecting and debugging XGBoost models -- Debuggins a PyTorch image classifier -- Testing and remediating bias with XGBoost -- Red-teaming XGBoost -- |
| -- |
Part 3. Conclusion. How to succeed in high-risk machine learning. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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. 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Risk management. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Risk management. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Curtis, James |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Pandey, Parul, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
