EAI Seminar Series

The Institute for Experiential AI is proud to host researchers from a range of industries on a global platform, with cutting-edge perspectives on how to define and apply Ethical AI in the Distinguished Lecturer Series. The Expeditions in AI Series features a broad range of AI expertise the research and ideas of our core and affiliate members faculty at Northeastern.

Upcoming Seminars

Network-level Adversaries in Federated Learning

Expeditions in Experiential AI Seminar with Cristina Nita-Rotaru

Wednesday April 12, 2023

Information Access in the Era of Large Pretrained Neural Models

Distinguished Lecturer Seminar with Jimmy Lin

Wednesday April 26, 2023

From Biological Aging Clocks to Longevity Medicine: an Artificial Intelligence (AI) Odyssey

Expeditions in AI Seminar with Ram Hariharan

Wednesday May 10, 2023

From Machine Learning to Autonomous Intelligence

Distinguished Lecturer Seminar with Yann LeCun

Wednesday May 24, 2023

Social Media Analysis for Public Health Applications

Expeditions in Experiential AI Seminar with Silvio Amir

Wednesday June 7, 2023

Past Seminars

Using Artificial Intelligence and Machine Learning to Advance Earth System Science

Auroop Ganguly joins event panel

Monday February 7, 2022

Building and Auditing Fair Algorithms

Christo Wilson

Wednesday December 8, 2021

The Decision-Making Side of Machine Learning

Michael I. Jordan

Wednesday November 17, 2021

Learning Interpretable Models on Complex Medical Data

Jennifer G. Dy

Wednesday November 10, 2021

Ethics and Computational Systems

Lorena Jaume-Palasí

Wednesday October 27, 2021

On the Dangers of Stochastic Parrots

Emily M. Bender

Wednesday September 29, 2021

Just Machine Learning

Tina Eliassi-Rad

Wednesday September 15, 2021

Human-AI Cooperation in eDiscovery

Dave Lewis

Wednesday June 30, 2021

Ethics in AI: A Challenging Task

Ricardo Baeza-Yates

Wednesday June 16, 2021

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At the Institute for Experiential AI, we work at the frontiers of academic research and industry applications to develop tangible AI solutions in real-world scenarios.

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