Omniscient Autocomplete Thought Experiment
(Redirected from Decision Autocomplete Scenario)
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An Omniscient Autocomplete Thought Experiment is a thought experiment that explores human autonomy erosion through perfect decision prediction.
- AKA: Perfect Predictor Thought Experiment, AI Oracle Thought Experiment, Decision Autocomplete Scenario.
- Context:
- It can typically illustrate dependency risks through decision outsourcing.
- It can typically reveal autonomy trade-offs with convenience maximization.
- It can often demonstrate deliberative atrophy from cognitive offloading.
- It can often challenge free will assumptions through predictive accuracy.
- It can range from being a Partial Omniscient Autocomplete Thought Experiment to being a Complete Omniscient Autocomplete Thought Experiment, depending on its prediction scope.
- It can range from being a Advisory Omniscient Autocomplete Thought Experiment to being a Directive Omniscient Autocomplete Thought Experiment, depending on its intervention level.
- It can range from being a Transparent Omniscient Autocomplete Thought Experiment to being a Black-Box Omniscient Autocomplete Thought Experiment, depending on its reasoning visibility.
- It can range from being a Individual Omniscient Autocomplete Thought Experiment to being a Societal Omniscient Autocomplete Thought Experiment, depending on its application scale.
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- Examples:
- Counter-Examples:
- Trolley Problem, which focuses on moral dilemmas rather than autonomy.
- Chinese Room Argument, which addresses consciousness rather than agency.
- Turing Test, which evaluates intelligence rather than human dependency.
- See: Thought Experiment, AI Ethics, Human Autonomy, AI Paternalism System, Soft Despotism System, Free Will, Technological Determinism, Behavioral Prediction, Decision Theory.