Visual artificial intelligence (AI) is widely used in applications like photo sorting and autonomous driving, but it often perceives the world differently from humans. While AI can identify specific objects, it may struggle with recognizing broader similarities, such as the shared characteristics between cars and airplanes. A new study published in Nature explores these differences by using cognitive science tasks to compare human and AI visual perception. The research introduces a method to better align AI systems with human understanding, enhancing their robustness and generalization abilities, ultimately aiming to create more intuitive and trustworthy AI systems. Understanding and improving AI's perception can lead to more reliable technology that aligns with human expectations.
