The situated approach in AI refers to the development of agents that are designed to operate effectively within their environment. This approach emphasizes the importance of creating AI systems ‘from the bottom-up,’ focusing on basic perceptual and motor skills necessary for an agent to function and survive in its environment. It de-emphasizes abstract reasoning and problem-solving skills that are not directly tied to interaction with the environment.

• Robotics
• Autonomous vehicles
• Human-computer interaction
• Environmental monitoring

A self-driving car using the situated approach would focus on developing its perception and control systems to navigate a specific road network, rather than relying solely on abstract reasoning to solve complex problems.

• Generative AI, Job Losses and New skills