活动
Virtual/Online | 2021年5月
Join Microsoft researchers Su Lin Blodgett and Alexandra Olteanu, from the FATE Group at Microsoft Research Montréal, to examine pitfalls in some state-of-the-art approaches to measuring computational harms in language technologies. For such measurements of harms to be effective, it…
Virtual/Online | 2021年3月
The webinar will present examples of how these learnings are shaping our research on developing principles and tools for bringing the AI principle of reliability and safety to reality. In particular, it will showcase an ecosystem of open-source tools that…
Virtual/Online | 2021年3月
AI has transformed modern life via previously unthinkable feats, from machines that can master the ancient board game Go and self-driving cars to developments we experience more routinely, such as virtual agents and personalized product recommendations. Simultaneously, these new opportunities…
Virtual/Online | 2020年1月
In this webinar led by Microsoft researcher Jenn Wortman Vaughan, explore how to best incorporate transparency into the machine learning life cycle. Here, we will explore these three components of transparency (with examples): traceability, communication, and intelligibility.
Virtual/Online | 2019年1月
In this webinar led by Microsoft researchers Jenn Wortman Vaughan and Hanna Wallach, 15-year veterans of the machine learning field, you’ll learn how to make detecting and mitigating biases a first-order priority in your development and deployment of ML systems.