Stanford Seminar – Challenges in AI Safety: A Perspective from an Autonomous Driving Company
April 6, 2022
Jerry Lopez of Motional
There is a long legacy of deploying complex software in safety critical applications in industries like aviation and automotive. The increasing use of Machine Learning (ML) models in these applications has forced the engineering community to rethink what it means to ensure that software applications can operate with extremely low probabilities of failure. This talk will highlight some of the biggest challenges with AI safety in the autonomous driving community and discuss some of the most promising methods currently being researched for ensuring a high degree of safety.
https://arxiv.org/pdf/2107.09918.pdf
https://arxiv.org/pdf/2012.07170.pdf
April 6, 2022
Jerry Lopez of Motional
There is a long legacy of deploying complex software in safety critical applications in industries like aviation and automotive. The increasing use of Machine Learning (ML) models in these applications has forced the engineering community to rethink what it means to ensure that software applications can operate with extremely low probabilities of failure. This talk will highlight some of the biggest challenges with AI safety in the autonomous driving community and discuss some of the most promising methods currently being researched for ensuring a high degree of safety.
https://arxiv.org/pdf/2107.09918.pdf
https://arxiv.org/pdf/2012.07170.pdf
