Trust and Ethics in AI: A Business Approach
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Recommended experience
What you'll learn
Understand the key principles of trustworthy AI in business
Implement strategies for building fair and impartial AI systems
Explore best practices for ensuring transparency and explainability in AI
Skills you'll gain
Details to know
March 2026
12 assignments
See how employees at top companies are mastering in-demand skills
There are 12 modules in 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.
In this section, we explore AI as mathematical models, not thinking entities, and examine their roles in data science and real-world applications.
What's included
2 videos2 readings1 assignment
2 videos•Total 2 minutes
- Course Overview•1 minute
- A Primer on Modern AI - Overview Video•1 minute
2 readings•Total 20 minutes
- Introduction•10 minutes
- Basic Terminology in AI•10 minutes
1 assignment•Total 10 minutes
- Understanding the Foundations of AI•10 minutes
In this section, we examine sources of bias in AI systems, evaluate fairness in deployment, and implement ethical practices to ensure equitable and compliant AI applications.
What's included
1 video5 readings1 assignment
1 video•Total 1 minute
- Fair and Impartial - Overview Video•1 minute
5 readings•Total 50 minutes
- Introduction•10 minutes
- The Nature of Bias in AI•10 minutes
- Explicit and Implicit Bias•10 minutes
- Tradeoffs in Fairness•10 minutes
- Engage AI Stakeholders•10 minutes
1 assignment•Total 10 minutes
- Ethics and Fairness in Artificial Intelligence•10 minutes
In this section, we explore strategies for ensuring AI robustness and reliability in dynamic environments. Key concepts include testing frameworks, data drift analysis, and continuous learning systems.
What's included
1 video4 readings1 assignment
1 video•Total 1 minute
- Robust and Reliable - Overview Video•1 minute
4 readings•Total 40 minutes
- Introduction•10 minutes
- The Challenge of Generalizable Deep Learning•10 minutes
- Meeting the Long Tail in Reliability Engineering•10 minutes
- Put Your AI to the Test on Robustness and Reliability•10 minutes
1 assignment•Total 10 minutes
- AI System Reliability and Robustness•10 minutes
In this section, we examine transparency in AI, focusing on accountability and stakeholder trust.
What's included
1 video3 readings1 assignment
1 video
- Transparent - Overview Video•0 minutes
3 readings•Total 30 minutes
- Introduction•10 minutes
- The Limits of Transparency•10 minutes
- Put Your AI to the Test on Transparency•10 minutes
1 assignment•Total 10 minutes
- Principles of AI Transparency•10 minutes
In this section, we explore AI explainability, focusing on frameworks, black box analysis, and transparent reporting to build trust and ensure compliance in business applications.
What's included
1 video4 readings1 assignment
1 video•Total 1 minute
- Explainable - Overview Video•1 minute
4 readings•Total 40 minutes
- Introduction•10 minutes
- Driving Innovation and Application•10 minutes
- Factors in Explainability•10 minutes
- Put Your AI to the Test on Explainability•10 minutes
1 assignment•Total 10 minutes
- Exploring AI Transparency and Accountability•10 minutes
In this section, we explore AI security vulnerabilities, risks of system compromise, and secure deployment practices to ensure safe and trustworthy AI implementation.
What's included
1 video3 readings1 assignment
1 video•Total 1 minute
- Secure - Overview Video•1 minute
3 readings•Total 30 minutes
- Introduction•10 minutes
- Data Poisoning•10 minutes
- Loss of Intellectual Property•10 minutes
1 assignment•Total 10 minutes
- AI Security Fundamentals•10 minutes
In this section, we explore integrating safety into AI design, analyzing human values, and optimizing objectives to ensure ethical outcomes and prevent harm.
What's included
1 video4 readings1 assignment
1 video•Total 1 minute
- Safe - Overview Video•1 minute
4 readings•Total 30 minutes
- Introduction•10 minutes
- Environmental Harm•5 minutes
- Aligning Human Values and AI Objectives•5 minutes
- Put Your AI to the Test on Safety•10 minutes
1 assignment•Total 10 minutes
- Ethical and Safety Considerations in AI Development•10 minutes
In this section, we examine privacy in AI, focusing on data collection methods, regulatory compliance, and informed consent to ensure ethical and trustworthy AI systems.
What's included
1 video4 readings1 assignment
1 video•Total 1 minute
- Privacy - Overview Video•1 minute
4 readings•Total 40 minutes
- Introduction•10 minutes
- The Friction Between AI Power and Privacy•10 minutes
- Beyond Anonymization or Pseudonymization•10 minutes
- California Consumer Privacy Act (CCPA) and California Privacy Rights Act (CPRA)•10 minutes
1 assignment•Total 10 minutes
- Privacy in the Digital Age•10 minutes
In this section, we explore AI accountability challenges, emphasizing ethical responsibility, transparent decision-making, and frameworks to ensure trust and compliance in AI-driven procurement systems.
What's included
1 video3 readings1 assignment
1 video•Total 1 minute
- Accountable - Overview Video•1 minute
3 readings•Total 30 minutes
- Introduction•10 minutes
- Balancing Innovation and Accountability•10 minutes
- Put Your AI to the Test on Accountability•10 minutes
1 assignment•Total 10 minutes
- Accountability in Artificial Intelligence•10 minutes
In this section, we examine evaluating AI systems for ethical alignment, implementing responsible deployment frameworks, and assessing impacts on stakeholder trust.
What's included
1 video3 readings1 assignment
1 video•Total 1 minute
- Responsible - Overview Video•1 minute
3 readings•Total 25 minutes
- Introduction•10 minutes
- Motivating Responsible AI Use•5 minutes
- Balancing Good, Better, and Best•10 minutes
1 assignment•Total 10 minutes
- Ethical Considerations in Artificial Intelligence•10 minutes
In this section, we explore implementing trust dimensions in AI strategies, analyzing trust factors across use cases, and designing consistent governance frameworks for responsible AI deployment.
What's included
1 video2 readings1 assignment
1 video•Total 1 minute
- Trustworthy AI in Practice - Overview Video•1 minute
2 readings•Total 20 minutes
- Introduction•10 minutes
- Processes•10 minutes
1 assignment•Total 10 minutes
- Trustworthy AI in Practice•10 minutes
In this section, we explore building trustworthy AI through structured governance, emphasizing fair, reliable, and transparent systems aligned with human values and future regulations.
What's included
1 video1 reading1 assignment
1 video•Total 1 minute
- Looking Forward - Overview Video•1 minute
1 reading•Total 10 minutes
- Looking Forward - The Reading•10 minutes
1 assignment•Total 10 minutes
- Building a Trustworthy Future with Artificial Intelligence•10 minutes
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