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Description
While the potential existential threat of artificial intelligence (AI) is well publicized, the threat of biased machine learning models is much more immediate. Organizations must learn how to identify and prevent harmful discrimination in their models, or they will suffer reputational, regulatory, and revenue consequences. Attend this webinar to learn best practices for building ethics into AI.
Key takeaways:
- Learn how unintentional harmful bias seeps into machine learning models.
- Learn best practices for avoiding discriminatory models.
- Avoid serious regulatory, reputational, and revenue consequences.
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