Explore the limitations and potential dangers of artificial intelligence and machine learning in this thought-provoking conference talk. Delve into real-world examples of AI failures, their disproportionate impact on minorities, and potential deadly consequences. Examine the underlying reasons for these shortcomings and discuss strategies to mitigate risks in future AI implementations. Gain insights into how human bias and poor data selection contribute to unjust outcomes, and learn about the challenges of creating ethical and effective AI systems. Leave with a deeper understanding of AI's complexities and the importance of responsible development in this rapidly evolving field.
Overview
Syllabus
Intro
Pixel Buds
China
Artificial Intelligence
Deep Neural Network
The Boston pothole problem
Another example
Autonomous cars
Machine learning
Questions
Taught by
media.ccc.de
