What is an Escape Hatch in AI?
A fallback mechanism that allows users or systems to override AI decisions or revert to manual control when needed.
Definition
An Escape Hatch in AI is a safety mechanism that provides users or systems with the ability to override, interrupt, or circumvent AI decisions and actions, ensuring human control can be maintained when automated systems fail or behave unexpectedly.
Purpose
Escape hatches ensure that humans retain ultimate control over AI systems, providing critical safety nets when AI makes errors, encounters edge cases, or operates outside its intended parameters.
Function
Escape hatches work by building manual override capabilities, kill switches, or alternative pathways into AI systems that can be activated quickly when human intervention is needed to prevent harm or correct course.
Example
An autonomous vehicle's steering wheel and brake pedal serve as escape hatches, allowing the human driver to immediately take control if the AI system malfunctions or encounters a situation it cannot handle safely.
Related
Connected to AI Safety, Human Oversight, Fail-Safe Systems, Manual Override, Risk Mitigation, and Human-in-the-Loop design.
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