AI Safety Fundamentals

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

Episode guests

Ben Buchanan

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Episode notes

Podcast summary created with Snipd AI

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.

Introduction

3min

Understanding Algorithms: From Traditional to Machine Learning

5min

Predictive Analytics and National Security

8min

The Significance of Data in Machine Learning Systems: A Deep Dive into Training Data

2min

The Impact of Computing Power on AI Advancements

9min

A single sentence can summarize the complexities of modern artificial intelligence: Machine learning systems use computing power to execute algorithms that learn from data. Everything that national security policymakers truly need to know about a technology that seems simultaneously trendy, powerful, and mysterious is captured in those 13 words. They specify a paradigm for modern AI—machine learning—in which machines draw their own insights from data, unlike the human-driven expert systems of the past.

The same sentence also introduces the AI triad of algorithms, data, and computing power. Each element is vital to the power of machine learning systems, though their relative priority changes based on technological developments.

Source:

https://cset.georgetown.edu/wp-content/uploads/CSET-AI-Triad-Report.pdf

Narrated for AI Safety Fundamentals by Perrin Walker of TYPE III AUDIO.

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A podcast by BlueDot Impact.

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