AI Ethics, Governance, and Risk - The Complete Guide
Master the Ethical and Governance Challenges of AI Systems
Created by Alexander Oni
Explore the real-world ethical, governance, and risk challenges that come with developing and deploying AI systems. You'll discover practical frameworks for addressing bias, fairness, and transparency, and learn how to make responsible decisions when working with AI in high-impact areas.
Packt | Mar 2026 | 273 min
What You Will Learn
You'll start by learning core ethical frameworks and see how they apply to AI through real examples. Using practical case studies, you'll examine how issues like bias and transparency show up in fields such as healthcare and criminal justice. Along the way, you'll build the skills needed to evaluate and improve AI governance in your own work.
Key Features
- Apply ethical frameworks to real AI development scenarios and decisions
- Identify and address bias, fairness, and transparency issues in AI systems
- Gain practical tools for navigating governance and risk in AI projects
Target Audience
This content is designed for AI developers, business professionals, legal experts, and policymakers who work with or oversee AI systems. If you're looking to understand the ethical impact of AI and want to make informed, responsible decisions, you'll find clear guidance and actionable tools to help you navigate these challenges.
