MIT Researchers Develop AI System That Can Defer To Human

The human-AI hybrid model performed eight percent better than either the human or AI could on their own. Researchers at MIT have developed an artificial intelligence system that is able to understand when to defer a task to an expert, adapting to the collaborator's availability and level of expertise. A lot of AI systems use this collaborative approach, in which an automated service works in most cases, while a human is brought in for edge problems. Facebook's content moderation platform runs like this, using image and language recognition systems to automatically filter inappropriate content, while a large team of human moderators deal with more challenging content. According to the team, the human-AI hybrid model performed eight percent better than either the human or AI could on their own. It is also able to reduce the computational cost and train the AI platform with fewer data samples, saving businesses time and money.