I made a short list of problems or areas in AI that I struggle to find answers on or simply understand. And I wonder if some of us also have similar issues about AI in general. The field of machine learning is growing so fast to keep track of everything evolving.<p>1. What is the computational complexity class of problems that humans can solve but artificial intelligence cannot?<p>2. Can neural nets always solve problems better than social nets (collective of people)?<p>3. Is there an Ecological Approach to Computer Visual Perception? JJ Gibson proposed a treatise of vision as related with objects around, so is an agent affected by its environment (similar to the concept of phenotropic computing by Jaron Lanier)<p>4. Does the presence of an agent affect the environment and model in Reinforcement Learning?<p>4.1 What is the causality of having an agent present in the environment, does its presence affect the reward system. In quantum computing each measurement affects the environment.