Designing Systems That Can Admit They Are Wrong
Capture a future advanced direction for systems that make room for uncertainty, challenge, independent verification, correction, and human responsibility rather than rewarding confident-looking output.
Relationships
Connect it to the learning map
Primary track: AI Readiness and Risk Assessment Support
Helpful preparation: When AI Starts Arguing Instead of Thinking
Share and review
Help improve the module
Purpose
Capture a future advanced direction for systems that make room for uncertainty, challenge, independent verification, correction, and human responsibility rather than rewarding confident-looking output.
Seed Topics
- Epistemic humility
- Uncertainty calibration
- Confidence estimation
- Adversarial testing
- Independent verification
- Verification pipelines
Relationship To The Learning Lab
This future module may connect the conversational-risk material to governance and responsible AI. It remains a concept placeholder, not a policy, framework, or ready-to-teach system-design curriculum.
Status Notes
Deferred ideation placeholder added on 2026-07-14. Scope, audience, evidence standard, and relationship to governance work are still open.
Review status
- Package lifecycle: Seed
- Learner availability: Deferred
- Review needs: Ideation packet only; research, governance, and learning-design review required
Source: modules/designing-systems-that-can-admit-they-are-wrong/module.md