top of page
  • Facebook
  • Twitter
  • Instagram
  • YouTube

AI and the Black Box

August

|

TBD

What happens when an AI model lies to us about its biases? Dr. Lauren Alvarez will discuss her work on AI explainability and interpretability, including how to deal with malicious AI models.

Tickets are not on sale
See other events
AI and the Black Box
AI and the Black Box

Time & Location

August

TBD

About The Event

Dr. Lauren Alvarez is an IBM Research Fellow, former Responsible AI Scientist for Apple, and data scientist at WillowTree whose research has been focused on explainability and interpetability in artificial intelligence and opening up the "black box" of AI model functioning.


In particular, she has worked on ethics and trustworthiness problems with AI models. This included developing the "STEALTH" method for deriving reliable explanations of how an AI model works - without triggering awareness by the model that could result in it lying about its functioning and tendency for bias. This has become particularly relevant when assessing the biases of machine learning algorithms used in criminal justice (e.g. COMPAS), medicine, and other fields. Dr. Alvarez has been published in the IEEE journal and presented at various conferences on her work.

Share This Event

STAY UP TO DATE

Sign up to get our newsletter on upcoming talks and events!

Join our mailing list

Bringing the Knowledge of the Research Triangle Into the Community

bottom of page