419 citations · 867 across the 6 of their papers we have counts for
6 papers
On the Ethics of Building AI in a Responsible Manner
Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
The AI-alignment problem arises when there is a discrepancy between the goals that a human designer specifies to an AI learner and a potential catastrophic outcome that does not re…
Vision Zero: on a Provable Method for Eliminating Roadway Accidents without Compromising Traffic Throughput
Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
We propose an economical, viable, approach to eliminate almost all car accidents. Our method relies on a mathematical model of safety and can be applied to all modern cars at a mil…
On a Formal Model of Safe and Scalable Self-driving Cars
Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
In recent years, car makers and tech companies have been racing towards self driving cars. It seems that the main parameter in this race is who will have the first car on the road.…
Weight Sharing is Crucial to Succesful Optimization
Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah
Exploiting the great expressive power of Deep Neural Network architectures, relies on the ability to train them. While current theoretical work provides, mostly, results showing th…
Failures of Gradient-Based Deep Learning
Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah
In recent years, Deep Learning has become the go-to solution for a broad range of applications, often outperforming state-of-the-art. However, it is important, for both theoreticia…
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
Autonomous driving is a multi-agent setting where the host vehicle must apply sophisticated negotiation skills with other road users when overtaking, giving way, merging, taking le…