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Building an Enterprise AI Governance Framework. Implement AI risk assessments, policies, oversight workflows, and monitoring for responsible AI Vivian Aranha

Książka w języku angielskim angielski
Building an Enterprise AI Governance Framework. Implement AI risk assessments, policies, oversight workflows, and monitoring for responsible AI Vivian Aranha - okladka książki

Building an Enterprise AI Governance Framework. Implement AI risk assessments, policies, oversight workflows, and monitoring for responsible AI Vivian Aranha - okladka książki

Building an Enterprise AI Governance Framework. Implement AI risk assessments, policies, oversight workflows, and monitoring for responsible AI Vivian Aranha - audiobook MP3

Building an Enterprise AI Governance Framework. Implement AI risk assessments, policies, oversight workflows, and monitoring for responsible AI Vivian Aranha - audiobook CD

Autor:
Vivian Aranha
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
176
Dostępne formaty:
     PDF
     ePub

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AI adoption often moves faster than organizations can decide who owns AI risk, which systems require review, and how deployment approvals should work. Building an Enterprise AI Governance Framework gives you a practical way to turn responsible AI principles into an operating model your organization can use.

Following a sequential, workflow-led approach, you will begin by understanding the foundations of AI governance, mapping stakeholders and ownership, and using the EU AI Act, NIST AI RMF, and ISO 42001 to inform governance decisions. You will then create risk taxonomies, conduct Algorithmic Impact Assessments, assign risk tiers, draft policies, establish a governance committee, and build approval workflows for new AI deployments.
As the framework takes shape, you will create model cards and datasheets, assess fairness, apply explainability practices, design transparency notices and human-oversight workflows, assess vendors, and establish monitoring and incident-response processes. Each stage produces practical governance artifacts that feed into the next.

The focus is on the decisions, workflows, and implementation steps needed to make enterprise AI governance operational. By the end, you will assess governance maturity and bring the pieces together into a 30-60-90-day rollout roadmap you can adapt to your organization.
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O autorze książki

Vivian Aranha is an AI educator, technology leader, and founder of School of AI, with over 20 years of industry experience. He earned a Bachelor's degree in Information Technology in 2004 and a Master's degree in Computer Science in 2006. His career spans web technologies, mobile app development for iOS and Android, blockchain solutions, and AI systems and applications.
Vivian has worked with Fortune 500 organizations, including The Washington Post, Delta Air Lines, and IBM. An instructor since 2009, he has trained professionals worldwide and now teaches AI globally. His courses have attracted over 2.5 million enrollments, with more than 500,000 students learning through School of AI, Udemy, Skool, and Maven.

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