# OpenAI Releases Tool to Train AI Through Human Feedback Instead of Complex Code

OpenAI has announced RL-Teacher, an open-source tool that allows developers to train artificial intelligence systems using occasional human feedback rather than writing complicated reward functions by hand.

Traditionally, training reinforcement learning AI requires programmers to create detailed reward functions—essentially mathematical formulas that tell the AI what's good or bad. This process is time-consuming and difficult, especially for complex tasks where defining "success" isn't straightforward.

RL-Teacher simplifies this by letting humans directly provide feedback during training. Instead of coding elaborate rules, trainers can simply indicate which AI behaviors they prefer, and the system learns from these preferences.

OpenAI emphasizes that this technique was originally developed as part of their AI safety research. By relying on human judgment rather than pre-programmed rules, the approach could help ensure AI systems better align with human values and intentions