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With high-profile cases of AI bias and public mistrust of new technologies combining to create considerable scrutiny of artificial intelligence models, the need for ethical business practices and moral stringency is perhaps most strongly felt in the AI industry.
But how can you define AI bias, and what measure can you take to actually address this deep-rooted, hard-to-solve problem?
Access this expert guide to learn how AI bias comes to be in real-life machine learning models and discover how you can take steps to prevent bias and malpractice from ever occurring in your organization.
- Vendor:
- DataRobot
- Posted:
- Jan 27, 2022
- Published:
- Jan 24, 2022
- Format:
- Type:
- eGuide
