Ethical AI: Addressing Bias & Algorithmic Fairness

Posted on in Presentations

AI models can exhibit bias that adversaries can utilize to bypass security measures. It is therefore imperative to explore algorithmic fairness to combat vulnerabilities. This session will address Ethical AI and present techniques for bias detection, fairness metrics, bias-explainability tools, and bias-mitigation algorithms for datasets and models.

Amanda House


Data Scientist, McAfee

Sherin Mathews


Senior Data Scientist, McAfee

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