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When AI Goes Rogue

Explore the core concepts of AI safety and learn to identify potential risks associated with advanced AI systems. This course covers techniques for aligning AI goals with human values, building robust AI systems, and mitigating unintended consequences. Discover how to apply these principles to real-world scenarios.

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Lessons
8
Price
Free
Course Curriculum

What you'll learn

4 Modules
8 Lessons
~40m total
01
01
Module 01
Understanding AI Risk
This module introduces the fundamental concepts of AI risk, covering potential pitfalls and unintended consequences that can arise from advanced AI systems. We'll discuss the importance of anticipating and mitigating these risks to ensure AI benefits humanity.
2 lessons10 min
0%
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02
02
Module 02
Aligning AI with Human Values
This module focuses on techniques for aligning AI goals with human values, ensuring that AI systems act in accordance with our intentions and ethical principles. We'll explore methods for specifying desired behaviors and avoiding unintended consequences.
2 lessons10 min🔒 Locked
0%
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03
03
Module 03
Understanding AI Failure Modes
This module introduces the common ways AI systems can fail, including specification gaming, reward hacking, and distributional shift. Understanding these failure modes is crucial for designing safer AI systems.
2 lessons10 min🔒 Locked
0%
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04
04
Module 04
AI Safety Engineering Techniques
This module covers techniques for preventing and mitigating AI failures, including anomaly detection, adversarial training, and reinforcement learning from human feedback (RLHF). These techniques help ensure AI systems behave reliably and ethically.
2 lessons10 min🔒 Locked
0%
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When AI Goes Rogue
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