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AI Safety Fundamentals: Governance
The AI Triad and What It Means for National Security Strategy
May 13, 2023
Explore the AI Triad of algorithms, data, and computing power in shaping national security policy. Understand the shift from traditional algorithms to machine learning models. Discover how neural networks enable predictive analytics for national security. Dive into the importance of quality training data in machine learning systems. Learn about the impact of computing power on AI advancements.
27:05
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Quick takeaways
- Machine learning systems rely on algorithms, data, and computing power, forming the AI Triad crucial for their functionality.
- Supervised learning in AI, like Project Maven, showcases predictive capabilities but faces challenges with training data and unseen scenarios.
Deep dives
The AI Triad of Algorithms, Data, and Computing Power
Machine learning systems operate based on algorithms drawing insights from data, highlighting the importance of the AI Triad composed of algorithms, data, and computing power. Algorithms, such as supervised, unsupervised, and reinforcement learning, process information and make decisions using neural networks. Data plays a critical role in the learning process of machine learning systems, influencing their performance and potential biases. Computing power has significantly advanced in recent years, correlating with AI progress and shaping the capabilities of machine learning systems.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode