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.

Participants
Amanda House

Speaker

Data Scientist, McAfee

Sherin Mathews

Speaker

Senior Data Scientist, McAfee

Machine Learning & Artificial Intelligence Risk Management & Governance

ethics governance risk & compliance biometrics security analytics artificial intelligence & machine learning


Topic

Subtopic


Share With Your Community