Making AI Safe for Autonomous Vehicles – Artificial intelligence has been a buzzing topic in academia for decades. But in recent years, it has moved into the mainstream consciousness of the public thanks to IT products like facial recognition, smart replies, and all kinds of voice assistants in daily life.
But as AI keeps growing and expanding to products like autonomous vehicles, the question of safety is now at the forefront. Safety is the ticket to enter the real world. Without safety, AI can go nowhere.
At Carnegie Mellon University, my lab aims to develop safer AI for a better world. We aim to develop explainable, reliable, and verifiable AI products by bridging mathematics and innovation. My current projects focus on autonomous vehicles and smart cities.
Over $100 billion has been spent globally in the last few years, yet even the leading companies are still not ready for mass production. There are high requirements and demands in safety for AI and machines with as many big problems as great opportunities to change the world. Working together with leading companies in the field, like Uber, Toyota, and Bosch, we are developing technologies that can save time and lives.
We are also collaborating with the Department of Transportation, the National Science Foundation, and the city of Pittsburgh to develop new theories, tools, and a public database to serve the research community and boost the economy. In the future, I hope to translate the safe AI measures we are developing for driving to many other fields, such as security, medical devices, and emergency resilience.
I hope my research helps to pave the road for safe AI that in turn leads to a safer and better society.
reference – Making AI Safe for Autonomous Vehicles
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