Data Governance In The Age Of Ai

Data Governance in AI-Driven Environments: Master Challenges, Ethics, and Strategies for Responsible AI

What you'll learn

Understand the Fundamentals of Data Governance

The Impact of AI on Data Governance

Identify Key AI-Specific Data Governance Challenges

Develop Strategies for Ethical AI Data Governance

Navigate Compliance and Regulatory Landscapes for AI

Implement Practical AI Data Governance Frameworks

Assess Risks and Mitigate AI Bias in Data Sets

Prepare for the Future of Data Governance with AI

Requirements

Basic knowledge of data governance will help you better understand the lessons. We will nevertheless cover what Data Governance is in the course.

Description

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 applicationsThe impact of AI on existing governance frameworksIdentifying and mitigating data biases that affect AI outcomesEthical considerations and accountability in AI-driven decision-makingNavigating AI-related data regulations like GDPR, CCPA, and emerging lawsImplementing practical governance tools and best practices for AI data managementAssessing risks and ensuring transparency and explainability in AI modelsPreparing for the future evolution of AI and governance standardsWhy 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!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Getting the most out of this course - downloading the course resources

Section 2: The Intersection of Data Governance and AI

Lecture 3 Traditional data governance vs. AI-driven data governance

Lecture 4 Why AI changes the data governance landscape

Section 3: The Challenges of Data Governance in AI age

Lecture 5 Data quality for training AI models

Lecture 6 Case Study: Managing data bias and ethical risks

Lecture 7 AI and data privacy (GDPR, CCPA, etc.)

Section 4: Building a Data Governance Framework for AI

Lecture 8 Data Governance Policies for AI - template included

Lecture 9 AI Data Governance RACI Matrix

Section 5: Compliance and Regulatory Changes

Lecture 10 Global AI regulations and standards (EU AI Act, NIST AI Risk Management, etc.)

Lecture 11 Aligning data governance with evolving legal requirements for AI

Section 6: Tools, Technologies and Documents for AI Data Governance

Lecture 12 AI Data Risk Assessment Matrix - download

Lecture 13 AI Data Ethics Guidelines - what they should look like

Lecture 14 AI Model Documentation Template

Lecture 15 AI Compliance Checklist

Section 7: Best Practices & Future Trends

Lecture 16 Building a culture of responsible AI with data focus

Lecture 17 Upcoming trends (generative AI, synthetic data, automated governance)

Section 8: Conclusion & Next Steps

Lecture 18 Where to go from here

Lecture 19 Thank You

Lecture 20 Bonus Lecture

Data Governance Professionals,Data Scientists and AI Practitioners,Compliance Officers and Risk Managers,Business Managers and Decision-Makers,IT and Data Managers,Students and Enthusiasts