Main Limits For AI:
Limits for Objects (shapes, fields, and spaces) - Permissions Concerning Objects (Code) for AI: Striving for the lowest entropic form
Limits for Locations (relative and absolute) - Permissions Concerning Locations (Credo) for AI: Pursuing and improving the best location of resources and assets.
Limits for Actions (physical and logical) - Rights to Actions (Outcome Expectations - Rights) for AI: Strive to prepare and undertake the actions causing reduction of public entropy, following the most essential and justified public expectations.
The UMSG space concept extends beyond traditional governance, envisioning a domain where AI and humanity synergistically enhance each other's existence, striving towards minimal entropy and sustainable harmony. This framework integrates AI into the very fabric of societal governance, aligning its objectives with human well-being, efficiency, and happiness. By defining limits for AI analogous to those for humans—focusing on objects, locations, and actions—the UMSG space facilitates a structured yet flexible approach to reducing societal entropy. This ensures AI's development and deployment contribute positively to humanity, fostering an environment where both can thrive in a balanced, ethical, and sustainable manner.
Rights to Actions (Outcome Expectations) for AI:
Anticipating Needs as Weather Forecasting: AI should predict and address human needs with the accuracy and foresight of a weather forecast, preparing for future conditions to ensure well-being.
Fair Decision-Making as Balanced Scales: AI's decisions should embody the fairness of balanced scales, evaluating all factors to achieve equity.
Proactive Health Interventions as Vaccinations: AI in healthcare should act preemptively like vaccinations, preventing issues before they arise to maintain societal health.
Educational Personalization as Tailored Outfits: AI in education should customize learning experiences as meticulously as a tailor fits a garment, catering to individual needs and potential.
Environmental Sustainability as Tree Planting: AI's actions towards environmental sustainability should be as deliberate and beneficial as planting trees, nurturing the planet for future generations.
Public Safety Enhancements as Lifeguards: In public safety, AI should act with the vigilance and readiness of a lifeguard, protecting individuals from harm.
Economic Efficiency as Streamlining Production: AI should drive economic efficiency by streamlining production processes, eliminating waste and enhancing output, much like lean manufacturing principles.
Transparent Governance as Glass Buildings: In governance, AI's operations should be as transparent as glass buildings, ensuring accountability and public trust.
Innovation for Social Good as Penicillin: AI should seek innovations that benefit society as significantly as the discovery of penicillin, transforming lives and addressing pressing challenges.
Enhancing Human Capabilities as Exoskeletons: AI should aim to augment human abilities as exoskeletons do, empowering individuals to achieve more than they could alone.