Artificial Intelligence: The Ethics of AI
Learning objectives
- Identify ethical concerns in AI systems, such as lack of transparency, data privacy risks, and environmental impact, and apply guidelines to make responsible decisions.
- Explain how bias can enter AI systems and impact decisions in areas like hiring, lending, and healthcare.
- Describe the importance of governance frameworks and principles (e.g., fairness, accountability, transparency) in AI use.
- Recognize the shared responsibility of individuals, organizations, and society in ensuring ethical AI use.
Course overview
Artificial intelligence shapes decisions about hiring, lending, and health in seconds, which raises hard questions about fairness, privacy, accountability, and the energy these systems consume. People stay responsible for how AI outputs get interpreted and used, evaluating recommendations, protecting sensitive data, and verifying results before acting on them. Clear governance and shared responsibility across employees, leaders, and organizations keep the technology aligned with human interests.
The individuals involved in the development and promotion of this course do not receive any compensation or financial benefits outside of their regular employment for their work on this course.
