Value Learning

Value learning is the process by which an AI system or individual gradually discovers and understands what is important or desirable based on experience and feedback. It involves recognizing patterns and preferences to make better decisions aligned with desired outcomes. Essentially, it’s like learning what matters most through repeated interactions, allowing the system to improve its choices over time. For example, a recommendation system learns your preferences by observing your behavior, enabling it to suggest content you’re more likely to enjoy. This process helps AI act in ways that truly reflect the values or goals they are designed to serve.