MIT Sloan AI Adoption: Build a Playbook That Drives Real Business ROI
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Explore the potential dangers and ethical concerns surrounding artificial intelligence and machine learning in this 42-minute Devoxx conference talk. Gain insights from a professional AI algorithm developer on why certain applications of AI can be hazardous and should be approached with caution. Delve into the current state of AI and machine learning, examining their limitations and pitfalls. Learn about real-world examples of AI misuse, including killer robots, mass surveillance, deepfakes, and biased algorithms. Discover practical advice on how to protect yourself and implement AI responsibly, including the importance of diverse teams in AI development. Walk away with a comprehensive understanding of AI's capabilities, risks, and best practices for its ethical implementation.
Syllabus
Intro
What is AI
History of AI
Image Recognition
Bad Things
Facial Recognition
The New York Times
Public Cameras
Adversarial Patches
Printed TShirts
Drawing
AI Faces
AI Text
Beer Review
Lyrebird
AI can be dangerous
Deepfakes
AI
Challenges
People
Problems
People are awful
Common mistakes
Limitations of AI
How can you protect yourself
Building models
Mix teams
Conclusion
Taught by
Devoxx