- Identify ethical risks in generative AI deployment.
- Describe strategies for ethical AI decision-making.
- Implement effective AI governance measures.
- Understand the steps to design responsible algorithms.
Overview
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Unlock the power of generative AI responsibly with this comprehensive learning path. Explore the ethical challenges of AI deployment and learn practical frameworks for navigating them. Learn about legal considerations, data practices, AI governance, and more. Build a solid foundation in responsible AI and prepare your organization to address ethical risks with confidence.
Syllabus
Courses under this program:
Course 1: Ethics in the Age of Generative AI
-Learn why ethical considerations are a critical part of the generative AI creation and deployment process and explore ways to address these ethical challenges.
Course 2: Using Generative AI Ethically at Work
-Learn how to address common ethical issues when using generative AI-powered tools at work.
Course 3: Implementing a Data Strategy for Responsible AI
-This course provides an in-depth understanding of the data considerations, implications, and issues commonly observed throughout the AI product development lifecycle.
Course 4: The State of AI and Copyright
-Gain valuable insights on the current state of AI and copyright laws in this panel discussion with UK-based attorney Matt Hervey and US-based attorney Jennifer Maisel.
Course 5: Introduction to AI Governance
-Explore core concepts and practical strategies to effectively implement and manage AI governance.
Course 1: Ethics in the Age of Generative AI
-Learn why ethical considerations are a critical part of the generative AI creation and deployment process and explore ways to address these ethical challenges.
Course 2: Using Generative AI Ethically at Work
-Learn how to address common ethical issues when using generative AI-powered tools at work.
Course 3: Implementing a Data Strategy for Responsible AI
-This course provides an in-depth understanding of the data considerations, implications, and issues commonly observed throughout the AI product development lifecycle.
Course 4: The State of AI and Copyright
-Gain valuable insights on the current state of AI and copyright laws in this panel discussion with UK-based attorney Matt Hervey and US-based attorney Jennifer Maisel.
Course 5: Introduction to AI Governance
-Explore core concepts and practical strategies to effectively implement and manage AI governance.
Courses
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Learn why it's absolutely crucial for AI-related data science work to be transparent, explainable, accountable, and ethical in its design and execution.
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Learn about the practices needed to perform fairness testing and implement responsible AI systems.
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Explore core concepts and practical strategies to effectively implement and manage AI governance.
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Learn how AI is being used today and how to ensure its responsible usage into the future.
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Learn why ethical considerations are a critical part of the generative AI creation and deployment process and explore ways to address these ethical challenges.
-
Gain valuable insights on the current state of AI and copyright laws in this panel discussion with UK-based attorney Matt Hervey and US-based attorney Jennifer Maisel.
Taught by
Ayodele Odubela, Vilas Dhar, Jill Finlayson, Barton Poulson, PhD, Garrick Chow and Vidhi Chugh