Theory and Practice
S4E7: Google DeepMind’s Clément Farabet on AI Reasoning
Sep 13, 2023
Dr. Clément Farabet, VP of Research at Google DeepMind, explores the conundrum in the Chinese Room Argument and outlines the four modules required for computers to demonstrate understanding. He explains how building computers to be more human-like can improve human life.
44:35
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Quick takeaways
- Computers are now capable of tasks traditionally exclusive to humans, such as making judgments and decisions, but the debate remains on whether they possess the understanding and empathy required for true intelligence.
- To achieve artificial general intelligence, machines need predictive models of the environment, memory systems, reasoning abilities, and the ability to act based on internal models and reasoning, enabling them to make informed decisions and perform complex tasks.
Deep dives
Computers using judgment and making decisions
Computers are now capable of tasks that were traditionally exclusive to humans, such as making judgments and decisions. This raises the question of whether computers could one day outperform humans in these areas. Judgment and decision-making are considered key properties of intelligence, requiring understanding and empathy. However, it is debated whether current AI systems possess these qualities. The podcast explores this topic in-depth and presents the Chinese Room Argument as a thought experiment questioning whether computers can truly achieve human-like understanding.
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