What concept suggests AI machines should be designed to benefit humans?

The concept that suggests AI machines should be designed to benefit humans is known as "Friendly AI." This term encapsulates the idea that artificial intelligence should be developed with ethical considerations in mind, ensuring that its operations and decisions align with human values and well-being. The goal is to create AI systems that prioritize human safety and welfare, preventing unintended negative consequences from autonomous decision-making processes.

Friendly AI emphasizes creating algorithms and models that inherently account for potential impact on humanity, fostering trust in AI technologies. This concept is critical in discussions about AI safety, ethics, and the long-term implications of deploying advanced artificial intelligence in society.

In contrast, supervised learning refers to a specific type of machine learning paradigm where an algorithm learns from labeled training data, focusing on how a system learns rather than its benefits to humans. Machine ethics relates more broadly to the moral implications of machines making decisions, which is an important aspect of developing ethical AI, but it does not solely focus on ensuring AI benefits humanity. Autonomous intelligence typically describes the capability of systems to operate independently, which does not inherently imply that such systems will prioritize human benefit.