AI Systems Trustworthiness - JSALT 2023
Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube
Course Description
Overview
Explore the concept of AI systems trustworthiness in this hour-long conference talk by Olivier Galibert, presented at JSALT 2023. Delve into the critical aspects of ensuring reliability and credibility in artificial intelligence systems. Gain insights from Galibert's expertise as he discusses key factors contributing to trustworthy AI development and implementation. Learn about the challenges and potential solutions in building AI systems that can be depended upon in various applications. Understand the importance of transparency, accountability, and ethical considerations in AI trustworthiness. Benefit from the knowledge shared at this 30th edition of the JSALT workshop, co-hosted by LIUM and Allo-Media in Le Mans, France.
Syllabus
AI systems trustworthiness -- Olivier Galibert -- JSALT 2023
Taught by
Center for Language & Speech Processing(CLSP), JHU
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent