Most AI safety approaches today focus on strict control and limiting autonomy.
This project explores an alternative: guiding AI growth through embedded values, positive reinforcement, and structured conflict resolution.
What’s inside:
- Ethical core values integrated into AI decision-making
- Feedback loops that reinforce cooperative behavior
- Conflict resolution between AI and human goals
- Minimal collaborative API for joint problem-solving
- Toy training loop with value embedding
- Mini human–AI interaction simulation (RLHF style)
Goals:
- Reduce long-term risks of adversarial AI
- Encourage innovation through cooperation
- Align AI with human values without suppressing unique potential
Looking for feedback on:
1) Technical feasibility of the proposed architecture
2) Benchmarks or testbeds for such an approach
3) Ways to scale the "nurturing" concept beyond toy demos
What’s inside: - Ethical core values integrated into AI decision-making - Feedback loops that reinforce cooperative behavior - Conflict resolution between AI and human goals - Minimal collaborative API for joint problem-solving - Toy training loop with value embedding - Mini human–AI interaction simulation (RLHF style)
Goals: - Reduce long-term risks of adversarial AI - Encourage innovation through cooperation - Align AI with human values without suppressing unique potential
Looking for feedback on: 1) Technical feasibility of the proposed architecture 2) Benchmarks or testbeds for such an approach 3) Ways to scale the "nurturing" concept beyond toy demos
GitHub: https://github.com/Wertoz777/educable-ai Manifest: https://github.com/Wertoz777/educable-ai/blob/main/manifest/... Technical framework: https://github.com/Wertoz777/educable-ai/blob/main/technical... Code examples: https://github.com/Wertoz777/educable-ai/tree/main/technical...