Roll for Initiative - How to Make the World of AI a More Ethical Place

Overview

Join an imaginative journey through the intricacies of artificial intelligence as we tackle pressing ethical challenges in 'Roll for Initiative - How to Make the World of AI a More Ethical Place.' Drawing inspiration from Dungeons & Dragons, this unique presentation elucidates the complexities of algorithmic bias. Discover innovative strategies to create a fairer, more equitable AI landscape while navigating through this immersive experience.

Perfect for AI enthusiasts and ethicists alike, this session promises to enlighten and inspire. Available now on YouTube under the categories of Artificial Intelligence Courses and Conference Talks.

Syllabus

• Course Introduction
Overview of AI and Ethics
Introduction to Algorithmic Bias
Course Logistics and Expectations
• Module 1: Understanding Algorithmic Bias
Defining Bias in AI
Examples of Bias in Different AI Systems
Case Studies of AI Failures
• Module 2: The Ethical Framework
Introduction to Ethical Theories
Ethical Decision-Making in AI Development
Key Ethical Issues in AI
• Module 3: Identifying and Assessing Bias
Techniques for Bias Detection
Tools and Frameworks for Assessing AI Fairness
Real-World Applications and Analysis
• Module 4: Strategies for Mitigating Bias
Data Collection and Curation Best Practices
Algorithm Design for Fairness
Transparency and Explainability in AI
• Module 5: Dungeons & Dragons Themed Scenarios
Introduction to D&D Themed Ethical Scenarios
Group Activity: Role-Playing Ethical Dilemmas
Discussion and Reflection on Scenario Outcomes
• Module 6: Policy and Governance
Regulations and Guidelines for Ethical AI
Industry Standards and Best Practices
The Role of Public Policy in AI Ethics
• Module 7: Building Equitable AI Systems
Inclusive Design Principles
Collaborative Strategies for Stakeholder Engagement
Long-term Monitoring and Accountability
• Module 8: The Future of Ethical AI
Emerging Trends in AI Ethics
Future Challenges and Opportunities
Vision for an Equitable AI Landscape
• Course Conclusion
Recap of Key Learnings
Final Project Presentation and Feedback
Next Steps for Continued Learning in AI Ethics
• Additional Resources
Recommended Readings and Media
Tools and Platforms for Practicing AI Ethics
Community and Networking Opportunities

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Subjects

Conference Talks