Artificial Intelligence Must Know When To Ask For Human Help
Artificial intelligence systems are powerful tools for businesses and governments to process data and respond to changing situations, whether on the stock market or on a battlefield. But there are still some things AI isn’t ready for.
We are scholars of computer science working to understand and improve the ways in which algorithms interact with society. AI systems perform best when the goal is clear and there is high-quality data, like when they are asked to distinguish between different faces after learning from many pictures of correctly identified people.
Sometimes AI systems do so well that users and observers are surprised at how perceptive the technology is. However, sometimes success is difficult to measure or defined incorrectly, or the training data does not match the task at hand. In these cases, AI algorithms tend to fail in unpredictable and spectacular ways, though it’s not always immediately obvious that something has even gone wrong. As a result, it’s important to be wary of the hype and excitement about what AI can do, and not assume the solution it finds is always correct. READ MORE ON: THE CONVERSATION