Data Science Ethics Lecturer, School of Information
4 Learning Experiences
Responsible Generative AI
What You'll Learn
- Understand the potential benefits, use cases, and fundamentals of generative AI
- Evaluate the future implications of generative AI on business and society
- Analyze the global impact, challenges, risks, and governance of generative AI
4-Course Series
12 hours
3 hours per course (approx.)
Shareable Certificate
Add to your LinkedIn profile
About Responsible Generative AI
“Responsible Generative AI” is a Specialization exploring the possibilities and risks of generative artificial intelligence (AI). You will establish a comprehensive understanding of the impact of this technology. The series will help you identify impacts relevant to business operations, consumers, society, the labor market, and the environment. Throughout each course, you’ll explore both the use cases and limitations of generative AI to explain business and societal considerations. This course series focuses on both new concerns stemming from this emerging technology and the amplification effects generative AI can have on existing concerns. By gaining a deeper understanding of responsible AI use, you’ll be able to make more informed decisions about the development, use, and governance of generative AI systems within your organization.
Skills You'll Gain
- Corporate Sustainability
- Generative Artificial Intelligence
- Systems Thinking
- AI Agents
- Generative AI Agents
- Risk Management
- Responsible AI
- Human Resource Management
- AI Innovation
- Generative Model Architectures
- Ethical AI
- Strategic Thinking
- Decision Making
- Artificial Intelligence
- Brand Management
- Policy Analysis
- AI-Based Legal Compliance
- Generative Adversarial Networks
- Human Capital
- Change Management
What You'll Earn
- Certificate of Completion
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
No prior experience required.
4 Courses in this series
-
Free U-M Access CourseGenerative AI: Fundamentals, Applications, and Challenges
Gain essential knowledge of generative AI applications, benefits, and risks, from societal impacts to legal and ethical concerns.
-
Free U-M Access CourseGenerative AI: Impact on Business and Society
Assess how generative AI affects consumers, businesses, and public systems to support ethical and informed adoption of new technologies.
-
Free U-M Access CourseGenerative AI: Governance, Policy, and Emerging Regulation
Explore governance strategies and global regulatory frameworks to ensure generative AI is deployed ethically and transparently in organizations.
-
Free U-M Access CourseGenerative AI: Labor and the Future of Work
Explore how generative AI reshapes jobs and supports everyday tasks while impacting labor markets and workplace dynamics globally.
What Learners Are Saying
We all have a voice, and as AI developers, users, investors, scientists, policymakers, and a civil society, we all have a responsibility. Responsible AI means ensuring justified trust for AI technologies.
Merve Hickock Lecturer, University of Michigan School of Information
