Fairness and Machine Learning: Limitations and Opportunities
Overview & Synopsis
This book is an introduction to the intellectual foundations of this recently emergent field, drawing on a diverse range of disciplinary perspectives to identify the opportunities and hazards of automated decision-making.
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Document Information
| Document Title | Fairness and Machine Learning: Limitations and Opportunities |
|---|---|
| Author / Organization | Solon Barocas, Moritz Hardt, Arvind Narayanan |
| Subject & Discipline | Machine Learning, Neural Networks and Deep Learning, Artificial Intelligence, Data Analysis and Data Mining |
| Categories | Machine Learning |
| Publication Year | 2023 |
| ISBN | 978-0262048613 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | ✓ Verified Direct PDF Available |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 2168.3 KB (2,220,375 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-9726 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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