Responsible AI in the enterprise practical AI risk management for explainable, auditable, and safe models with hyperscalers and azure openAI
Build and deploy your AI models successfully by exploring model governance, fairness, bias, and potential pitfalls Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn ethical AI principles, frameworks, and governance Understand the concepts of fairness assessment and bi...
| Otros Autores: | , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England :
Packt Publishing Ltd
[2023]
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| Edición: | 1st ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009757931206719 |
Tabla de Contenidos:
- Table of Contents A Primer on Explainable and Ethical AI Algorithms Gone Wild - Bias's Greatest Hits Opening the Algorithmic Blackbox Operationalizing Model Monitoring Model Governance - Audit, and Compliance Standards & Recommendations Enterprise Starter Kit for Fairness, Accountability and Transparency Interpretability Toolkits and Fairness Measures – AWS, GCP, Azure, and AIF 360 Fairness in AI System with Microsoft FairLearn Fairness Assessment and Bias Mitigation with FairLearn and Responsible AI Toolbox Foundational Models and Azure OpenAI.
