| _version_ | 1866901204020232192 |
|---|---|
| author | Gerald Enrique Nelson Mc Kenzie |
| author_facet | Gerald Enrique Nelson Mc Kenzie |
| contents | <p><span><span>In this work, </span><span>I</span><span> present VERITAS, a self-introspective engine designed to autonomously generate comprehensive model cards for machine learning systems. VERITAS integrates performance monitoring, explainable AI, bias auditing, and compliance logging into a unified framework. By enabling models to generate their own “model cards” VERITAS enhances transparency, accountability, and trustworthiness in AI deployments. </span><span>T</span><span>he Iris dataset</span><span> is used for validation</span><span>, using a </span><span>RandomForestClassifier</span><span>, and </span><span>demonstrates</span><span> that VERITAS produces verifiable, detailed reports that capture the model’s capabilities, limitations, and operational metrics.</span></span><span> </span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14811299 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | VERITAS: Verifiable Evaluation and Reporting In Transparent AI Systems Gerald Enrique Nelson Mc Kenzie <p><span><span>In this work, </span><span>I</span><span> present VERITAS, a self-introspective engine designed to autonomously generate comprehensive model cards for machine learning systems. VERITAS integrates performance monitoring, explainable AI, bias auditing, and compliance logging into a unified framework. By enabling models to generate their own “model cards” VERITAS enhances transparency, accountability, and trustworthiness in AI deployments. </span><span>T</span><span>he Iris dataset</span><span> is used for validation</span><span>, using a </span><span>RandomForestClassifier</span><span>, and </span><span>demonstrates</span><span> that VERITAS produces verifiable, detailed reports that capture the model’s capabilities, limitations, and operational metrics.</span></span><span> </span></p> |
| title | VERITAS: Verifiable Evaluation and Reporting In Transparent AI Systems |
| url | https://doi.org/10.5281/zenodo.14811299 |