What It Takes to Control Societal Bias in Natural Language Processing

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=RgcXD_1Cu18


Duration: 50:13
616 views
4

Kai-Wei Chang (UCLA)
https://simons.berkeley.edu/talks/what-it-takes-control-societal-bias-natural-language-processing
Recent Developments in Research on Fairness



Other Videos By Simons Institute for the Theory of Computing


2019-07-10Individual Fairness in Hindsight
2019-07-09The Social Cost of Strategic Classification
2019-07-09Representation via Representations: Improving Generalization to Unseen Populations
2019-07-09Disentangling Influence: Using Disentangled Representations to Audit Model Predictions
2019-07-09The Measure and Mismeasure of Fairness
2019-07-09Evidence-Based Rankings
2019-07-09A Multi-Group Perspective on Fairness
2019-07-08Bridging AI and HCI: Incorporating Human Values into the Development of AI Technologies
2019-07-08Procedural Justice in Algorithmic Fairness: Transparency, Control and Participation Perspectives
2019-07-08Flexibly Fair Representation Learning by Disentanglement
2019-07-08What It Takes to Control Societal Bias in Natural Language Processing
2019-07-08What is Your Data Worth? Equitable Data Valuation in Machine Learning
2019-07-01Algorithms and the Law
2019-06-07Questions and Discussion
2019-06-07Afternoon Session: Individuals, Groups, Pattern Recognition and Rich Data
2019-06-07Morning Session: Causality
2019-06-06Questions and Discussion
2019-06-06Afternoon Session: Governance
2019-06-06Morning Session: Carcerality
2019-06-05Afternoon Session #2: Policies, Politics, Publics
2019-06-05Questions and Discussion


Tags:
Recent Developments in Research on Fairness
Kai-Wei Chang
Simons Institute
Theory of Computing
Theory of Computation
Theoretical Computer Science
Computer Science
UC Berkeley