AI Ethics and Governance: Principles of Trusted AI

As artificial intelligence becomes deeply integrated into business tools, understanding its ethical implications is a critical skill for modern professionals. This comprehensive text-based course guides you through the essential concepts of AI ethics, helping you identify risks and implement responsible AI practices. By reading this course, you will develop a strong foundation in AI governance, bias detection, and data privacy. You will learn to evaluate automated systems using established industry frameworks, including Salesforce's Trusted AI Principles, preparing you to advocate for responsible technology in your organization and excel in foundational AI associate evaluations. What you'll learn: - Understand the foundational definitions of AI ethics, safety, and accountability - Identify and mitigate algorithmic bias and discrimination in data models - Apply trusted AI frameworks to design transparent and fair business workflows - Protect user privacy and maintain data security in automated systems - Analyze modern generative AI challenges, including content attribution and model hallucinations - Prepare for foundational AI associate exams by mastering core governance concepts Course-content overview: You will start with the basic terminology of machine learning and ethics before moving into practical frameworks for fairness, transparency, and accountability. Through clear written explanations and real-world scenarios, you will learn how to align AI deployments with trusted organizational values. Target audience: This course is designed for absolute beginners, business professionals, and aspiring AI administrators. No prior programming experience or technical background is required to get started. Start reading today to build a responsible, ethical foundation for your AI journey.