The research field focused on making sure AI systems do what humans actually want them to do.
The research field focused on making sure AI systems do what humans actually want them to do. It's harder than it sounds — you need to specify goals precisely enough that a very capable system doesn't find clever loopholes. A major focus area for labs like Anthropic and DeepMind.
Reinforcement Learning from Human Feedback.
The broad field studying how to build AI systems that are safe, reliable, and beneficial.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
The science of creating machines that can perform tasks requiring human-like intelligence — reasoning, learning, perception, language understanding, and decision-making.
Browse our complete glossary or subscribe to our newsletter for the latest AI news and insights.