MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02003nam a22002177a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
JGU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250320100048.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250320b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780306835148 |
| Qualifying information |
pbk. |
| 040 ## - CATALOGING SOURCE |
|---|
| Language of cataloging |
eng |
| Transcribing agency |
JGU |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Schellmann, Hilke, |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
The algorithm : |
| Remainder of title |
how AI decides who gets hired, monitored, promoted, and fired and why we need to fight back now / |
| Statement of responsibility, etc |
Hilke Schellmann. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York : |
| Name of publisher, distributor, etc |
Hachette, |
| Date of publication, distribution, etc |
2024. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Hilke Schellmann is an Emmy award-winning investigative reporter, Wall Street Journal and Guardian contributor, and journalism professor at NYU. In "The Algorithm," she investigates the rise of Artificial Intelligence (AI) in the world of work. AI is now being used to decide who has access to an education, who gets hired, who gets fired, and who receives a promotion. Drawing on exclusive information from whistleblowers, internal documents, and real-world tests, Schellmann discovers that many of the algorithms making high-stakes decisions are biased, racist, and do more harm than good. Algorithms are on the brink of dominating our lives and threaten our human future-if we don't fight back. Schellmann takes readers on a journalistic detective story, testing algorithms that have secretly analyzed job candidates' facial expressions and tone of voice. She investigates algorithms that scan our online activity, including Twitter and LinkedIn, to construct personality profiles a la Cambridge Analytica. Her reporting reveals how employers track the location of their employees, the keystrokes they make, access everything on their screens, and, during meetings, analyze group discussions to diagnose problems in a team. Even universities are now using predictive analytics for admission offers and financial aid"-- |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence--Economic aspects. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Algorithms--Social aspects. |
