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Assessing and Mitigating Bias and Discrimination in AI
Resource details
Learning Objectives
By the end of Milestones 1-2, learners will be able to:
- Describe foundational ideas in this space, from philosophy, to law, and how they relate to fairness concerns in AI development and deployment
- Explain the legislative and regulatory contexts for AI and considerations within this context for mitigating bias
- Start mapping out the legislative context relating to AI for your own particular organisation and consider the steps you should take to be legally compliant and to mitigate bias from a compliance perspective
This resource maps to capability ID 1.1.0.1.1 domain 1 of the Artificial Intelligence (AI) and Digital Healthcare Technologies Capability Framework
| Contributed by: | Artificial intelligence beyond the basics |
| Authored by: |
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| Licence: | © All rights reserved More information on licences |
| Last updated: | 12 November 2024 |
| First contributed: | 19 September 2024 |
| Audience access level: | Full user |
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