Stanford University's New Approach to Mitigate Negative Ethical and Societal Aspects of AI Research
Offered By: Alan Turing Institute via YouTube
Course Description
Overview
Explore Stanford University's innovative Ethics and Society Review (ESR) board, designed to address ethical and societal concerns in AI research. Learn about the ESR's unique approach as a funding requirement, its implementation across 41 proposals, and its impact on researchers' project designs. Discover how the panel identifies issues related to minority groups, stakeholder inclusion, dual use, and data representation. Gain insights into researchers' experiences with the ESR process, including their willingness to continue submitting projects and their desire for additional ethical reasoning support. Delve into the challenges and opportunities the ESR presents for other universities and organizations interested in implementing similar processes. Join Dr. Adrian Weller for this informative presentation, followed by a discussion on the potential wider application of the ESR approach.
Syllabus
Introduction
Ethics and Society Review
Institutional Responses
Ethics Review
Institutional Process
ESFR Statement
Whitepaper
Case Study
Methodology
Results
Scaffolding
Ethical and social issues
Lack of scaffolding
Common issues
Maintaining the ESR
Working with colleagues
Challenges going forward
Three thoughts
Discussion
QA
Questions
Advisory panel
Learning curve
Panel composition
Expectations setting
Postdocs
Resources
Staff
Closing
Taught by
Alan Turing Institute
Related Courses
Knowledge-Based AI: Cognitive SystemsGeorgia Institute of Technology via Udacity AI for Everyone: Master the Basics
IBM via edX Introducción a La Inteligencia Artificial (IA)
IBM via Coursera AI for Legal Professionals (I): Law and Policy
National Chiao Tung University via FutureLearn Artificial Intelligence Ethics in Action
LearnQuest via Coursera