Counterfactual Explanations
by AaaS · open-source · Last verified 2026-03-17
Teaches generation of 'what-if' explanations that show users the minimal input changes required to flip a model's decision, providing actionable recourse in high-stakes settings. Covers DiCE, NICE, and custom counterfactual search algorithms, with guidance on feasibility constraints and user-facing presentation.
https://aaas.blog/skill/counterfactual-explanations ↗C
C—Below Average
Adoption: C+Quality: AFreshness: B+Citations: CEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- counterfactual-generation, feasibility-constraints, diversity-sampling, actionable-recourse, proximity-optimization
- Integrations
- dice-ml, alibi, captum, interpret-ml
- Use Cases
- loan-denial-recourse, medical-triage-explanation, hiring-decision-audit, content-moderation-appeals
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- feature-attribution
- Supported Agents
- compliance-agent
- Tags
- xai, counterfactual, dice, recourse, explainability
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
48.4Adoption
50
Quality
82
Freshness
78
Citations
48
Engagement
0