Hands-on Data Science
Responsible AI for Governments
Adrian Dunkley
Adrian Dunkley is the founder and CEO of StarApple AI, Jamaica's first AI and Data Science company, he has a background in fintech, tourism, and sports science. He's held leadership roles in multinational corporations and is the President of the Jamaica Technology and Digital Alliance. Adrian aims to establish a Caribbean Space Agency and is a Data Scientist and A.I Engineer with 15+ years of experience. He holds a double major in Mathematics and Physics and a Masters in Enterprise Risk Management.
3 Days
Duration-
500Per Person
Individual -
200Per Person
Groups of 5+ participants
Course Description:
Join us on a 3-day journey into the world of Responsible AI in the public sector. Understand the importance of fairness, accountability, transparency, and ethics in AI, crucial for government entities. Our leading AI experts will guide you through the process of adopting and implementing AI technologies responsibly. You’ll explore case studies, participate in engaging group activities, and learn how to develop a Responsible AI framework tailored to your needs.
Syllabus:
- Foundations of Responsible AI: Introducing the principles of fairness, accountability, transparency, and ethics in the context of AI usage in the public sector.
- Developing and Implementing AI Policies: Strategies for creating AI policies that ensure responsible use, including stakeholder engagement and regulatory compliance.
- Tools and Techniques for Fair and Ethical AI: Overview of technological and procedural methods to enhance fairness and mitigate bias in AI systems.
- Case Studies on Responsible AI in Government: Examination of real-world examples where AI has been successfully implemented with a focus on ethical considerations.
- Crafting a Responsible AI Framework: Guided activities to help participants develop a tailored framework for adopting and managing AI technologies responsibly within their organizations.
Prerequisites:
- There are no prerequisites for this course.
Grading Policy:
- 2 exams
- 1 capstone project
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