Ethical AI Design & Implementation – Building Fair, Transparent & Trusted Systems.

Format:

Video

Language:

English

Physical Description:

1 online resource (54 minutes)

Place of Publication:

[Place of publication not identified] : PACKT Publishing, 2026.

Language Note:

In English.

System Details:

video file

Summary:

<b>Learn how to design and implement ethical AI systems. Explore governance, bias mitigation, stakeholder engagement, and responsible AI leadership to build fair and trusted AI solutions.</b><h4>Key Features</h4><ul><li>Comprehensive ethical AI frameworks and governance models</li><li>Bias mitigation strategies and fairness implementation guidance</li><li>Leadership insights for responsible AI oversight and compliance</li></ul><h4>Book Description</h4>This course equips you with the knowledge and practical tools needed to build AI systems that are fair, transparent, and trustworthy. The course begins by exploring the ethical challenges of generative AI and introduces key principles and frameworks that guide responsible AI development. You will learn how to balance innovation with accountability while ensuring that ethical considerations are embedded from the start. As the course progresses, you will examine ethical data practices, team responsibilities, and leadership strategies that influence AI governance. From empowering development teams to guiding executive leadership and board oversight, you will understand how ethical AI must be supported at every organizational level. Real-world examples demonstrate how ethical frameworks move from theory into action. The program also focuses on stakeholder engagement, global collaboration, and regulatory compliance. You will explore bias mitigation, fairness strategies, and governance structures that foster long-term trust. By the end of the course, you will be prepared to lead ethical AI initiatives, align cross-functional teams, and implement governance models that ensure responsible AI deployment in modern organizations.<h4>What you will learn</h4><ul><li>Apply ethical frameworks to AI system design</li><li>Identify and mitigate bias in AI models</li><li>Develop governance structures for responsible AI deployment</li><li>Lead cross-functional teams in ethical AI initiatives</li><li>Align AI innovation with regulatory and compliance standards</li><li>Build trust through transparent AI decision-making practices</li></ul><h4>Who this book is for</h4>This course is designed for AI practitioners, data scientists, technology leaders, compliance professionals, and executives responsible for AI governance. A basic understanding of AI concepts is helpful but not required.

Notes:

Title from resource description page (viewed July 20, 2026).