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News articleIEEE Spectrum

Safer Autonomous Vehicles Means Asking Them the Right Questions

View original at spectrum.ieee.org
Safer Autonomous Vehicles Means Asking Them the Right Questions <img src="https://spectrum.ieee.org/media-library/conceptual-illustration-of-virtual-hands-using-a-steering-wheel-to-navigate-a-digitized-road.jpg?id=62224859&width=1200&height=800&coordinates=0%2C288%2C0%2C288" /><br /><br /><p><em>This article is part of…
Opening lines of the source · IEEE Spectrum · short snapshot — read the full document at the original

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  • SHAP analysis helps to discard less influential features and pay more attention to the most salient ones in autonomous vehicle decision-making

    80% confidence
  • What level of information to provide to passengers is a challenge, as each passenger will have different preferences based on technical knowledge, cognitive abilities, and age

    80% confidence
  • Analyzing the decision-making process of an autonomous vehicle after it makes a mistake could help scientists produce safer vehicles

    80% confidence
  • Autonomous driving architecture is generally a black box and ordinary people such as passengers and bystanders do not know how an autonomous vehicle makes real-time driving decisions

    80% confidence
  • Real-time feedback could help passengers detect faulty decision-making by autonomous vehicles and allow them to intervene

    80% confidence
  • Explanations are becoming an integral component of autonomous vehicle technology and can help assess operational safety by debugging existing systems

    80% confidence

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