Data Science Ethics : (Record no. 7152)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02182 a2200229 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250923130235.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241209b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780192847270 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.7 |
| Item number | MarD |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Martens, David |
| 245 ## - TITLE STATEMENT | |
| Title | Data Science Ethics : |
| Remainder of title | Concepts, Techniques, and Cautionary Tales / |
| Statement of responsibility, etc | David Martens |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Oxford: |
| Name of publisher | Oxford University Press; |
| Year of publication | ©2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xii, 255p. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Preface<br/>1:Introduction to Data Science Ethics<br/>2:Ethical Data Gathering<br/>3:Ethical Data Preprocessing<br/>4:Ethical Modelling<br/>5:Ethical Evaluation<br/>6:Ethical Deployment<br/>7: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.<br/>While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - iData Science Ethics/i 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.<br/>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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial Intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Probability & Statistics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer Science |
| General subdivision | Practical Ethics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data Ethics |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Purchase Price | Bill number | Full call number | Accession Number | Copy number | Print Price | Bill Date/Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science | Indian Institute of Technology Tirupati | Indian Institute of Technology Tirupati | General Stacks | 30/07/2025 | Today and Tomorrows Printers and Publishers | 2731.81 | TTPP/132/2025-26 | 005.7 MarD (11520) | 11520 | Copy 1 | 3902.59 | 30/07/2025 | Books |