As artificial intelligence and machine learning algorithms continue to advance, making sure that the AI entities can explain their decision-making process will be extremely important, especially after an accident that results in injury or death, says a leading legal expert on workplace issues.

“We’re building robots and machines driven by AI, we’re putting them into the workplace, and they are becoming more complex by the month, but our ability to control them in terms of what they do and the decisions they make becomes more limited every day,” said Matthew Linton, Of Counsel at Ogletree, Deakins, Nash, Smoak & Stewart, P.C. “Now that we’ve created some algorithms that can do pretty amazing things with data, how do we get the algorithms to explain themselves, in effect get them to show their work?”

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Linton will be discussing these and other legal issues around AI and robotics at RoboBusiness 2018, to be held Sept. 25-27, 2018, in Santa Clara, Calif. (Robotics Business Review produces RoboBusiness.)

The panel session, “Safe vs. Safer: Is Public Perception on AI and Robotics Changing?” will take place on Thursday, Sept. 27, at 4:45 p.m., as the closing keynote for RoboBusiness. Joining Linton on the panel is Dawn N. Castillo, MPH, from the National Institute for Occupational Safety and Health, and Jeff Burnstein, president of the Association for Advancing Automation (A3). Linton spoke with Robotics Business Review ahead of the show to discuss the topic of workplace safety, AI, ethics and robotics.

Linton outlined a hypothetical example of a 200-ton autonomous coal truck moving down a path when somebody walks in front of the truck. The software has to make a decision – does it stop, go around, sound an alarm? In most cases, the algorithm has rules for what the vehicle does. However, Linton said that the algorithms are not particularly capable of explaining to humans of the reason why it made the decision it made.

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