97 things about ethics everyone in data science should know collective wisdom from the experts
Most of the high-profile cases of real or perceived unethical activity in data science aren't matters of bad intent. Rather, they occur because the ethics simply aren't thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Sebastopol, California
O'Reilly
2020
|
| Edition: | First edition |
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | Most of the high-profile cases of real or perceived unethical activity in data science aren't matters of bad intent. Rather, they occur because the ethics simply aren't thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and tech leaders will gain a better understanding of ethics through powerful, real-world best practices |
|---|---|
| Physical Description: | xx, 320 pages illustrations |
| ISBN: | 1492072613 149207263X 9781492072638 |