YoVDO

The Modern Trolley Problem - Responsible AI Principles

Offered By: NDC Conferences via YouTube

Tags

Responsible AI Courses Machine Learning Courses Autonomous Vehicles Courses Self-Driving Cars Courses Object Recognition Courses Decision-Making Algorithms Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the ethical implications of AI in autonomous vehicles through this thought-provoking conference talk. Delve into the complexities of programming self-driving cars, examining the decision-making processes and algorithms that govern their behavior. Learn about object recognition and obstacle avoidance techniques, including a live demonstration of training a model for deployment on an Azure Percept device. Discuss the critical aspects of Responsible AI Principles, emphasizing the importance of intentional and transparent coding practices. Engage with real-world examples and philosophical debates surrounding AI ethics, liability, and the modern interpretation of the classic trolley problem. Gain insights into the challenges and responsibilities faced by developers in shaping the future of AI-driven transportation.

Syllabus

The Modern Trolley Problem - Responsible AI Principles - Michelle Sandford


Taught by

NDC Conferences

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent