As companies rely increasingly on machine learning models to run their businesses, it's imperative to include anti-bias measures to ensure these models are not making false or misleading ...

In an era where AI is increasingly powering everyday systems from loan approvals to personalized healthcare, ensuring fairness and mitigating bias in machine learning pipelines has become a top ...

His thesis focused on heart disease prediction using machine learning—a reflection of his passion for preventative healthcare. “Bias in data isn’t just a technical glitch.

Matthieu Jonglez at Progress explores the dangers of data bias and ways to mitigate it In our quest to comprehend the world around us, humans instinctively seek patterns when faced with insufficient ...

Machine learning models often struggle to make accurate predictions for individuals underrepresented in their training datasets. For example, a model trained predominantly on data from male ...

Datasets Learning Objectives Participants of this workshop will: Understand basic notions of AI: machine learning and predictive models. Understand what is algorithmic bias, how is introduced in ...

This workshop is open to all. Graduate students: please register through GradProSkills. Everyone else can register through the library. This workshop will guide participants through the first steps ...