Self-Learning AI System

From GM-RKB
(Redirected from self-learning AI system)
Jump to navigation Jump to search

A Self-Learning AI System is an learning AI system that can independently improve and adapt by analyzing new data and refining its algorithms without explicit human intervention.

  • Context:
    • It can learn and adapt autonomously without direct programming or human intervention.
    • It can self-tune parameters and improve performance in response to environmental changes or feedback.
    • It can incorporate new data in real-time or incrementally, refining models to optimize outputs and decision-making.
    • It can modify behavior dynamically to meet changing task requirements or unexpected scenarios.
    • It can process large datasets to identify intricate patterns beyond traditional rule-based systems.
    • It can employ techniques like genetic algorithms or neural architecture search to innovate its learning pathways.
    • It can require substantial and diverse data inputs to learn effectively and minimize biases.
    • It can exhibit emergent behavior, including unintended actions influenced by biased or uncurated datasets.
    • It can operate based on predefined objectives but autonomously explore pathways to achieve goals.
    • ...
  • Example(s):
  • Counter-Example(s):
  • See: Reinforcement Learning, Unsupervised Learning, Online Learning, Ethics in AI.


References

2024