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Artificial intelligence has become exceedingly advanced in recent years, so much so that the prospect of self-driving cars on city roads is no longer a far-off concept.
But despite their current capabilities, there's one thing humans have on our side that AI inherently doesn't have – fear.
Responses - Fear - Help - Humans - Decisions
Physiological responses driven by fear help humans make critical decisions and stay on our toes, especially when it comes to situations like driving.
In a new study, Microsoft researchers build on this idea to improve the decision-making skills of self-driving cars, in effort to develop 'visceral machines' that will learn faster and make fewer mistakes.
Team - Findings - Paper - International - Conference
The team detailed their findings in a paper presented at the 2019 International Conference on Learning Representations (ICLR).
To teach AI to 'feel' fear, the researchers used pulse sensors to track peoples' arousal while using a driving simulator.
Signals - Algorithm - Situations - Person - Pulse
These signals were then fed to the algorithm to learn which situations caused a person's pulse to spike.
'As people learn to navigate the world, autonomic nervous system (e.g., "fight or flight") responses provide intrinsic feedback about the potential consequence of action choices (e.g., becoming nervous when close to a cliff edge or driving fast around a bend.),' authors Daniel McDuff and Ashish Kapoor explain in the paper's abstract.
Changes - Preparations
'Physiological changes are correlated with these biological preparations to protect...
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