What Control Meaning, Applications & Example
Mechanisms for monitoring and adjusting the behavior of an AI system to ensure it aligns with intended objectives.
What is Control?
Control in the context of artificial intelligence refers to the mechanisms and methods used to direct, manage, and oversee AI systems’ behavior and outputs. It ensures that AI operates within predefined parameters, follows ethical guidelines, and aligns with the goals and values set by developers or users.
Types of AI Controls
- Autonomy Control: Managing the level of decision-making autonomy an AI system has, from fully autonomous to human-controlled.
- Bias Control: Implementing strategies to minimize biases in AI models and ensure fairness in their decisions.
- Performance Control: Monitoring and adjusting AI systems to maintain optimal performance and efficiency over time.
- Safety Control: Ensuring AI operates safely and within ethical boundaries to prevent harm to individuals or society.
Applications of Controls
- Autonomous Vehicles: Implementing control systems to ensure self-driving cars make safe and ethical driving decisions.
- Healthcare AI: Using control mechanisms to monitor AI decision-making in diagnosing and treating patients, ensuring compliance with medical ethics.
- Robotics: Ensuring robots follow human commands or predefined safety protocols during operations in industries like manufacturing or healthcare.
Example of a Control
An example of control is an AI-powered drone that follows a set of predefined flight paths and safety protocols, with the ability for human operators to intervene and take manual control in case of emergency.