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Asimov is a prototype ethical AI decision framework inspired by Asimov’s laws of robotics. It simulates behavioral moderation, adaptive ethics, and safe prompt handling through reflection, feedback, and simulation. Designed for future-proof AI safety research and alignment testing.
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17
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Add interactive feedback dashboard to roadmap in README
c92e904View on GitHubDocument /feedback API route and feedback workflow in README
b7c1b60View on GitHubDocument model save/load support for TrainableEthicalReflector in README
88d058cView on GitHubDocument plans for trainable ethical reflector using ML and feedback learning
d9a0fa5View on GitHubDocument feedback-driven adaptive planning and update README capabilities
c128c60View on GitHubAdd AdaptivePlanner support with planner switching and test coverage
fb62f9eView on GitHubAdd context-aware MoralReasoner and update README with symbolic reasoning support
4196942View on GitHubAdd adaptive ethics via feedback-driven rule review and semantic learning
5ff8816View on GitHubAdd EthicalReflector ('internal conscience') module using model-based erasoning
413d60eView on GitHubInitial functionality providing simple rule-based prompt filtering based on manually-defined ethical rules
f8f962cView on GitHub