AI Bias and Fairness
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Watch this AI Explained to hear from an Amazon Alexa AI expert on what you need to know about conversational AI.
Watch this AI Explained to hear from an Amazon Alexa AI expert on what you need to know about conversational AI.
Watch this AI Explained to hear from an Amazon Alexa AI expert on what you need to know about conversational AI.
ML and data science experts discuss the White House's recently released AI Bill of Rights and its implications for ML teams.
ML and data science experts discuss the White House's recently released AI Bill of Rights and its implications for ML teams.
ML and data science experts discuss the White House's recently released AI Bill of Rights and its implications for ML teams.
Krishna Gade, Founder & CEO of Fiddler, discusses how companies can address potential bias and other challenges in their AI.
Krishna Gade, Founder & CEO of Fiddler, discusses how companies can address potential bias and other challenges in their AI.
Krishna Gade, Founder & CEO of Fiddler, discusses how companies can address potential bias and other challenges in their AI.
Learn about FairCanary, a novel approach to generating feature-level bias explanations that is an order of magnitude faster than previous methods.
Learn about FairCanary, a novel approach to generating feature-level bias explanations that is an order of magnitude faster than previous methods.
Learn about FairCanary, a novel approach to generating feature-level bias explanations that is an order of magnitude faster than previous methods.
Léa Genuit, a senior machine learning engineer at Fiddler AI, presents at the ML Fairness Summit on intersectional group fairness using worst-case comparisons.
Léa Genuit, a senior machine learning engineer at Fiddler AI, presents at the ML Fairness Summit on intersectional group fairness using worst-case comparisons.
Léa Genuit, a senior machine learning engineer at Fiddler AI, presents at the ML Fairness Summit on intersectional group fairness using worst-case comparisons.
Learn why fairness metrics need to incorporate intersectionality, including a simple method to expand the definitions of existing group fairness.
Learn why fairness metrics need to incorporate intersectionality, including a simple method to expand the definitions of existing group fairness.
Learn why fairness metrics need to incorporate intersectionality, including a simple method to expand the definitions of existing group fairness.
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