Simon Willison’s Weblog

With statistical learning based systems, perfect accuracy is intrinsically hard to achieve. If you think about the success stories of machine learning, like ad targeting or fraud detection or, more recently, weather forecasting, perfect accuracy isn't the goal --- as long as the system is better than the state of the art, it is useful. Even in medical diagnosis and other healthcare applications, we tolerate a lot of error.

But when developers put AI in consumer products, people expect it to behave like software, which means that it needs to work deterministically.

— Arvind Narayanan and Sayash Kapoor