Coursera
SubscriptionData Governance in the Age of AI
4.5(970)4k studentsALL LEVELSEnglish
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The course is explicit that it is not a general data governance overview. Its subject is what changes when AI enters the picture: data quality, bias in training data, ethics, transparency and regulatory adherence all need rethinking when models consume data at scale.
GDPR and CCPA are named as the laws to navigate, alongside emerging AI rules. Explainability and transparency in models, plus risk assessment, receive attention as governance tasks rather than purely technical ones.
Listed for all levels, it suits data professionals and managers who are responsible for AI-driven data work.
This course contains the use of artificial intelligence.
In today’s rapidly evolving digital landscape, artificial intelligence (AI) is transforming how organizations collect, manage, and utilize data. However, AI also introduces unique challenges for data governance - from data quality and bias to ethics, transparency, and regulatory compliance. This course, Data Governance in the Age of AI, is designed to equip you with the specialized knowledge and practical skills needed to master these challenges and lead responsible AI-driven data initiatives.
This course is not a general overview of data governance. It focuses specifically on the governance issues, risks, and strategies emerging from the integration of AI technologies across industries. You will learn how to implement effective frameworks for data quality, bias mitigation, ethical AI use, and regulatory adherence tailored for AI environments.
What you will learn:
Core principles of data governance tailored to AI applications
The impact of AI on existing governance frameworks
Identifying and mitigating data biases that affect AI outcomes
Ethical considerations and accountability in AI-driven decision-making
Navigating AI-related data regulations like GDPR, CCPA, and emerging laws
Implementing practical governance tools and best practices for AI data management
Assessing risks and ensuring transparency and explainability in AI models
Preparing for the future evolution of AI and governance standards
Why take this course?
By the end of this course, you’ll be ready to confidently address the unique governance challenges posed by AI and apply ethical, compliant, and forward-looking solutions to your organization’s AI data management.
Join me on this important journey to master data governance in the age of AI!
“this course contains a promotion.”
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Ethics and Governance in the Age of Generative AI
