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1
Intro
2
What is AI
3
History of AI
4
Image Recognition
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Bad Things
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Facial Recognition
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The New York Times
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Public Cameras
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Adversarial Patches
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Printed TShirts
11
Drawing
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AI Faces
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AI Text
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Beer Review
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Lyrebird
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AI can be dangerous
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Deepfakes
18
AI
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Challenges
20
People
21
Problems
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People are awful
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Common mistakes
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Limitations of AI
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How can you protect yourself
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Building models
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Mix teams
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Conclusion
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.

Is Your AI Plotting to Kill You? Why AI and Machine Learning Is Dangerous

Devoxx
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