May 16, 2024 08:21


Date and Time:
May 28, 2024: 10:30 am – 11:30 am (JST)
Venue: Online and Open Space at the RIKEN AIP Nihonbashi office*
*The Open Space; AIP researchers are only available.

TITLE: Quantile Risk Control: A Framework for Responsible Deployment of AI Models

SPEAKER: Prof. Richard Zemel (Columbia University, USA)

Explicit statistical guarantees on model performance are an important ingredient in responsible machine learning. I will describe a simple and flexible framework that allows us to construct rigorous bounds on the loss of deployed prediction models. We have developed the framework with the aim of applying it to a number of areas. One area is algorithmic fairness, where it can control the extent to which different members of a population experience unequal effects of algorithmic decisions. A second application area is pretrained language models, where the framework helps determine how best to prompt a model to perform a given task. I will also describe extensions of the framework, to accommodate the possibility of distribution shifts in deployment. Experiments on applications such as chatbots, medical question summarization, and code generation highlight how such a framework can reduce the risk of the worst outcomes.

All participants are required to agree with the AIP Seminar Series Code of Conduct.
Please see the URL below.

RIKEN AIP will expect adherence to this code throughout the event. We expect cooperation from all participants to help ensure a safe environment for everybody.

More Information

Date May 28, 2024 (Tue) 10:30 - 11:30