Experts on Building Faster, More Secure AI Systems

31 Oct, 2017

Experts on Building Faster, More Secure AI Systems

As the progress of Artificial Intelligence continues to improve, the challenges regarding security and protection continue to increase:

AI applications have begun to enter the commercial mainstream during the past decade. The number and type of such applications is increasing rapidly, driven by the refinement of machine-learning algorithms combined with massive amounts of data, rapidly improving computer hardware and increased access to these technologies. These advances have enabled AI systems to play a key role in applications such as web search, high-speed trading and commerce, and to combine with other technology trends — such as the Internet of Things, augmented reality, biotechnology and autonomous vehicles — to foster new industries. Soon, AI systems are expected to make more and more decisions on humans’ behalf, including decisions that can impact lives and the economy in areas such as medical diagnosis and treatment, robotic surgery, self-driving transportation, financial services, defense and more. The authors hope that this report “… will inspire new research that can advance AI and make it more capable, understandable, secure and reliable.”

In the Berkeley News article, Ken Golderg, a member of the RISELAb and Chair of IEOR, is quoted on the challenge of AI systems adapting to the real-world and how its actions would form in an outside environment. "For example, it may be possible to realistically simulate grasping objects millions of times to learn grasping policies that are robust to errors in sensing and control,” Goldberg says with regards to a simulation that predicts AI results in the real world.

To learn more about the AI systems and what RISElab has to say about it, read the article here.