Trust and Ethics in AI: A Business Approach

About this course

Based on the best-selling book, Trustworthy AI, by Beena Ammanath. This course equips professionals with the knowledge and tools to build and implement ethical AI systems. It explores the core principles of trustworthy AI, including fairness, transparency, and reliability, and provides practical strategies for integrating these values into business operations. Designed for those navigating the intersection of technology and ethics, it offers actionable insights for responsible AI development. The course covers essential concepts such as fairness, transparency, and the importance of building reliable AI systems that align with ethical guidelines. You'll also discover real-world applications and strategies for integrating these principles into your organization’s AI practices. By the end, you will have gained knowledge on the responsible use of AI and tools for ensuring AI systems are built with trust in mind. What sets this course apart is its focus on applying ethical principles directly to business practices. You’ll gain both theoretical understanding and practical insights to help implement ethical AI practices in real-world scenarios. With real-life case studies and expert-led discussions, this course will equip you to tackle the evolving challenges in AI ethics. This course is designed for business leaders, AI professionals, and technology managers who wish to ensure the ethical development of AI within their organizations. A basic understanding of AI and business processes will help, but deep technical expertise is not required. Copyright © 2022 by John Wiley & Sons, Inc. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Course objectives

• Equip professionals with tools for responsible AI development
• Promote a culture of ethical considerations in AI projects
• Enhance decision-making skills at the intersection of technology and ethics