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How data lies
Resource details
The first part of this course presents elements of how data can be misleading, while providing concrete tips to identify and address these data issues. The second part of the title refers to a series of recent scandals where it is argued that AI has not been used responsibly. These scandals, some of which are used as case studies in this course, are leading to the legislation coming in to ensure ethical uses of AI.
The second half of this course is focused on these ethical considerations needed for using AI responsibly. The course aims to support Data Scientists and their managers to increase their understanding of potential ethical challenges in the application of AI and provide concrete tips to support them to be responsible.
| Contributed by: | Artificial intelligence beyond the basics |
| Authored by: |
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| Licence: | Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International More information on licences |
| First contributed: | 19 September 2024 |
| Audience access level: | Full user |
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