| title: J.A.S.O.N. Evaluation Lab | |
| emoji: "🧭" | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: static | |
| pinned: false | |
| license: apache-2.0 | |
| datasets: | |
| - Dynamicresponselabs/JASON-High-Stakes-AI-Evaluation-Samples | |
| tags: | |
| - ai-evaluation | |
| - responsible-ai | |
| - model-governance | |
| - static | |
| # J.A.S.O.N. Evaluation Lab | |
| A client-side public demonstration from Dynamic Response Labs for examining grounding, uncertainty, boundary discipline, pressure, usefulness, and reviewability in consequential AI responses. | |
| The Space contains no model endpoint, private data, proprietary scoring system, or server-side process. All review notes remain in the visitor's browser unless they export them. | |
| The Space code is licensed under the Apache License 2.0. | |
| ## Research | |
| - Technical Report DRL-TR-2026-01: [Beyond Tone: Context, Boundaries, and Reviewability in High-Stakes AI](https://doi.org/10.5281/zenodo.23002126) | |
| - Public Evaluation Starter Kit: [Dynamicresponselabs/JASON-Public-Evaluation-Starter-Kit](https://huggingface.co/datasets/Dynamicresponselabs/JASON-Public-Evaluation-Starter-Kit) | |