Amazon was a diamond sponsor of NeurIPS 2020, a conference centered around neural information processing systems in their biological, technological, mathematical, and theoretical aspects.
One important topic surrounding NeurIPS is fairness in AI, which has become a table-stake for machine learning platforms and services, driven by customer/business needs, regulatory/legal requirements, and societal expectations. Researchers have been actively studying how to address disparate treatment caused by bias in the data and the resulting amplification of such bias by ML models, and how to ensure that the learned model does not treat subgroups in the population unfairly.
During NeurIPS 2020, five Amazon scientists working on these types of challenges gathered for a 45-minute virtual event. Watch the recorded panel discussion below. The scientists discussed how fairness applies to their areas of AI/ML research, the interesting studies and advancements happening in the space, and the collaborations they’re most excited to see occurring across the industry in an effort to advance fairness in AI.
Fairness in AI panelists
- Aaron Roth: professor of computer science, University of Pennsylvania, and Amazon Scholar
- Nashlie Sephus: applied science manager, Rekognition & Video
- Krishnaram Kenthapadi: principal applied scientist, AWS AI
- Jwala Dhamala: research scientist, Alexa AI
- Rahul Gupta: applied science manager, Alexa AI