Gender - Publications - Faculty & Research

The goal of this research is to understand how adversaries can exploit various algorithms used for explaining complex machine learning models with an intention to mislead end users. For instance, can adversaries trick these algorithms into masking their racial and... View Details

14 Sep 2017
News

Publications

Publications

Show Results For

Show Results For

The Persistent Problem of the Color Line: Researching Race in the 21st Century

Uber has hired HBS’s Frances Frei as a top leadership and strategy exec to fix its management mess

Laura Morgan Roberts (1)

Moments of Truth? Authentic Encounters with Realistic Identities

When Harry Fired Sally: The Double Standard in Punishing Misconduct

Counter Archives

Allies for Whom? The Selfish & Selfless Underlying Allyship Engagement

Finsta: A Mental Health Resource for the Modern Age: What happens when authenticity and vulnerability meet performance?

Can You Have Too Much Maternity Leave? In Europe, Maybe

Leading Race Work at HBS: From the Back Yard to the Front Lawn

Why Do We Get So Emotional About Brands?

Opening Remarks

Why Are Women More Cautious About Promotions?

‘How Perfect Do I Need to Be?’

A Groundbreaking California Law to Address Workplace Diversity Was Overturned. What Happens Now?

Harvard professor warns of infrastructure woes

The Person You Mean To Be

Women At Ernst & Young Instructed On How To Dress, Act Nicely Around Men

Understanding the Limitations of Model Explanations

Google Engineer Deserved to be Fired by the CEO