AI May Be Catching up With Human Reasoning

A new technique that measures the reasoning power of artificial intelligence (AI) shows that machines are catching up to humans in their abilities to think, experts say. Researchers at MIT and IBM Research have created a method that enables a user to rank the results of a machine-learning model's behavior. Their technique, called Shared Interest, incorporates metrics that compare how well a model's thinking matches people's. "Today, AI is capable of reaching (and, in some cases, exceeding) human performance in specific tasks, including image recognition and language understanding," Pieter Buteneers, director of engineering in machine learning and AI at the communications company Sinch, told Lifewire in an email interview. "With natural language processing (NLP), AI systems can interpret, write and speak languages as well as humans, and the AI can even adjust its dialect and tone to align with its human peers."