Data science ethics : (Record no. 128412)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03035nam a22003977a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | phtghnu |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20231002101159.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210908s2022 enkab b 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2021946685 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780192847270 |
| Qualifying information | paperback |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)on1273469063 |
| 040 ## - CATALOGING SOURCE | |
| Language of cataloging | eng |
| Transcribing agency | HNU |
| Description conventions | rda |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.9.B45 |
| Item number | M36 2022 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.7 M36 |
| Edition number | 23 |
| Placement Code | GC |
| Item number | 2022 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Martens, David, |
| Relator term | author |
| 245 10 - TITLE STATEMENT | |
| Title | Data science ethics : |
| Remainder of title | concepts, techniques and cautionary tales / |
| Statement of responsibility, etc. | David Martens. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Oxford, United Kingdom : |
| Name of producer, publisher, distributor, manufacturer | Oxford University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xii, 255 pages : |
| Other physical details | illustrations (some color), color map ; |
| Dimensions | 24 cm |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 336 ## - CONTENT TYPE | |
| Content type term | still image |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Foster Provost: ForewordPreface1: Introduction to Data Science Ethics2: Ethical Data Gathering3: Ethical Data Preprocessing4: Ethical Modelling5: Ethical Evaluation6: Ethical Deployment7: Conclusion |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - Data Science Ethics addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data. -- |
| Assigning source | Provided by publisher. |
| 521 ## - TARGET AUDIENCE NOTE | |
| Target audience note | College of Engineering and Computer Studies |
| Source | Bachelor of Science in Information Technology |
| 546 ## - LANGUAGE NOTE | |
| Language note | Text in English |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data |
| General subdivision | Moral and ethical aspects. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining |
| General subdivision | Moral and ethical aspects. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 7 |
| b | cbc |
| c | copycat |
| d | 2 |
| e | ncip |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Classification part | 000-099 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | GC | College Library | College Library | Filipiniana Section | 05/31/2023 | Library Fund | GC 005.7 M36 2022 | HNU004228 | 08/29/2024 | 10/02/2023 | Books |
