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Responsible AI
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Lead AI initiatives with confidence and integrity.
The technological landscape is rapidly evolving, and artificial intelligence courses like Responsible AI are essential for leaders navigating the changes. Artificial intelligence, ethics, and business success intersect with one another in a unique and challenging way. With tools and knowledge from this immersive certificate course, professionals can tackle these real-world challenges responsibly.Â
Led by Michigan alumna Lisa Thee, Responsible AI prepares professionals to ethically integrate AI into their work processes. This interactive course blends theory with practical case studies. Learners return to their workplaces with actionable strategies to manage the development and deployment of AI.
LEARNING OBJECTIVES
- Understand the core principles of responsible AI, including fairness, bias reduction, transparency, and accountability.
- Develop strategies for ethical AI implementation that align with legal, compliance, and business standards.
- Explore data privacy and security practices in AI.
- Analyze real-world case studies to understand AI models in highly regulated industries.
- Gain practical tools and frameworks to manage risk and ensure accountability.
- Build leadership skills to drive AI initiatives and foster a culture of ethical innovation within your organization.
PROGRAM OVERVIEW
This week-long artificial intelligence course takes place in Ann Arbor, Michigan. Throughout the program, professionals engage in hands-on activities, case studies, and interactive discussions.
As part of the course, participants will tour Menlo Innovations.Â
Principles of Responsible AI
- Learn key ethical principles such as fairness, accountability, and transparency
- Understand how to reduce bias in AI systems and ensure equitable outcomes
AI Privacy and Security
- Explore the growing importance of data privacy in AI applications
- Understand data protection regulations and secure handling of sensitive information
Confidential Computing and Case Studies
- Dive into real-world case studies from regulated industries like healthcare and finance
- Examine how confidential data can be used ethically in AI-driven projects
Ethical AI Governance
- Learn about AI governance frameworks to manage risk and enhance accountability
- Discover tools for building oversight and ethical decision-making into AI projects
Leadership in AI Integration
- Develop leadership strategies for driving responsible AI initiatives within your organization
- Learn to balance technological innovation with ethical business practices to mitigate risk
Capstone Project
- Apply your learning by working through a capstone project, solving real-world challenges in AI ethics and governance
WHO SHOULD ATTEND
This artificial intelligence course is for professionals across industries. It can help anyone who is integrating AI technologies into their work or leading AI initiatives. This includes:
- Directors and VPs in technical and business roles who want to stay ahead of AI trends
- Mid-career professionals looking to future-proof their skills and advance into leadership roles by mastering responsible AI
- Leaders in AI-driven industries, including healthcare, finance, and tech
- Business leaders in HR or legal departments who want to understand how AI impacts their decision-making processes
INSTRUCTIONAL TEAM
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