Videos

Browse the videos below to see what we’ve been thinking about and working on.

 

 

Women in AI Speaker Series

Women in AI is a six-part virtual speaker and mentorship series developed by the Schwartz Reisman Institute for Technology and Society in collaboration with Deloitte that convenes leading female AI researchers to share knowledge and mentorship opportunities that promote opportunities for women across the technology sector. Participants explore how women are leading the development of new technologies and approaches, and investigating emerging trends across the sector. The series provides insights into cutting-edge research, bold points of views, and help business and community leaders elevate diverse voices while promoting opportunities for women to share their perspectives.


Anna Goldenberg | “Designing machine learning for deployment in healthcare”
October 25, 2022

Machine learning is poised to become a crucial part of decision-making in healthcare. In this talk, Goldenberg explores several of her recent projects, describing challenges and questions her team has resolved, and future directions for her ongoing work implementing AI in healthcare.

Joanna Batstone | "AI and data science for good: A journey from industry to university"
December 8, 2022

In this talk, Joanna Batstone shares examples of her work bringing together cross-disciplinary expertise and international partnerships to leverage AI and data science for policy and social good initiatives such as sustainable development and health science.

Cynthia Rudin | “Do simpler machine learning models exist and how can we find them?”
January 28, 2023

Cyntha Rudin explores why simpler, interpretable machine learning models are preferable to larger “black box” models, and a new method of optimization for finding these models—which can often deliver the same level of accuracy with increased explainability and therefore trust.

 

Arisa Ema | “From principles to practices: Building an AI governance ecosystem”
February 28, 2023

How can values and principles for ethical AI development be translated into practice? In this talk, Arisa Ema describes how to build robust governance systems for AI in the context of industry applications, foregrounding the importance of accountability and risk management.

Sophia Ananiadou | “Natural language processing for biomedicine”
March 28, 2023

How can natural language processing increase the speed and reliability of knowledge discovery? Sophia Ananiadou discusses current trends in biomedical text summarization, the use of pre-trained language models, benchmarks, evaluation measures, and challenges faced in both extractive and abstractive methods.

Maren Bennewitz | “Foresighted robot navigation in human environments”
April 18, 2023

In this talk, Maren Bennewitz explores a range of examples from her recent projects in robotics development, utilizing convolutional neural networks and reinforcement learning to enable service robots to act with foresight when navigating human environments.