Chapter

Potential Risks of Automated Systems
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19:29 - 27:49 (08:20)

Discussion on the potential risks involved in the use of automated systems with limited data sets. An example is given where a soccer team was awarded points for taking possession of the ball, which incentivized a specific strategy, but ultimately led to the team losing the game.

Clips
The examples given to a machine learning system must be reflective of the types of scenarios it will encounter in the real world, as that will determine how well it can accurately perform its task.
19:29 - 24:19 (04:50)
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Machine Learning
Summary

The examples given to a machine learning system must be reflective of the types of scenarios it will encounter in the real world, as that will determine how well it can accurately perform its task. Incentivizing the right kind of strategy can also be crucial.

Chapter
Potential Risks of Automated Systems
Episode
#297 - Brian Christian - The Alignment Problem: AI's Scary Challenge
Podcast
Modern Wisdom
The paradigm of developing systems with flexible capabilities offers something more robust for future developments, and this can be seen when trying to figure out the score of a game based on an expert player's behavior.
24:19 - 27:49 (03:30)
listen on SpotifyListen on Youtube
Technology
Summary

The paradigm of developing systems with flexible capabilities offers something more robust for future developments, and this can be seen when trying to figure out the score of a game based on an expert player's behavior.

Chapter
Potential Risks of Automated Systems
Episode
#297 - Brian Christian - The Alignment Problem: AI's Scary Challenge
Podcast
Modern Wisdom