mccormick.northwestern.edu

Examining Algorithmic Fairness and Accountability

The accuracy and robustness of computational models is only one side of the equation. The field of algorithmic fairness and accountability investigates the decision-making capabilities of data-driven ...
Harvard Medical School

Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness

BKC Faculty Associate Ben Green writes about the challenge of creating equitable policy reforms around algorithmic fairness. “Efforts to promote equitable public policy with algorithms appear to be ...
Wired

Health Care Bias Is Dangerous. But So Are ‘Fairness’ Algorithms

SANDRA WACHTER is Professor of Technology and Regulation at the Oxford Internet Institute. BRENT MITTELSTADT is an Associate Professor and Director of Research at the Oxford Internet Institute. CHRIS ...
Wired

Sandra Wachter: Exploring fairness, privacy and advertising in an algorithmic world

Sandra Wachter is a Lawyer, Associate Professor and Senior Research Fellow at University of Oxford. In this video, Sandra discusses how the law can keep up with new technology. Particularly, she spoke ...
Diginomica

The disparate impact metric falls short for fairness in algorithmic models - here's why

As we attempt to build AI models that achieve fairness, approaches to protecting marginalized groups like differential and disparate impact are considered. However, when you dig into the stats, these ...
The Conversation

Building fairness into AI is crucial – and hard to get right

Artificial intelligence’s capacity to process and analyze vast amounts of data has revolutionized decision-making processes, making operations in health care, finance, criminal justice and other ...
The American Journal of Managed Care

Predictive Models for Low Birth Weight: A Comparative Analysis of Algorithmic Fairness–Improving Approaches

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...
Harvard Business School

USC's Kalinda Ukanwa Predicts Biased Algorithms 'To Be Less Profitable' Over Long Run

Part 2, Digital Inequality Series: Under what conditions can artificial intelligence benefit all of society vs. just a few people? Kalinda Ukanwa, a quantitative marketing scholar at the University of ...