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"Safeguarding AI" is a critical course that delves into the essential principles, tools, and practices needed to protect artificial intelligence systems from misuse, bias, and ethical breaches. As AI becomes increasingly embedded in business, government, and everyday life, the responsibility to ensure these technologies are secure, transparent, and fair has never been greater.
Introduction
Overview of safeguarding AI
What you should know
1. Introduction to AI Applications
Uses and abuses of AI
Applications of AI
Technical requirements
Global ideas
Challenge: Self-driving cars
Solution: Thought experiment on uses
2. Types of Decisions
Image recognition
Marketing decisions
Pricing decisions
Control decisions
Challenge: Investigate local effects
Solution: Thought experiment on effects
3. Adversarial Processes
Adversarial patches
Security and privacy
Challenge: Find one adversarial method
Solution: Thought experiment on method
4. Policy and Law
Cutting edge policies
Groups overseeing use
Challenge: Find policy of one group
Solution: Thought experiment on groups
Conclusion
Actions you can take
Martin Kemka
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