AI Audits and Autonomy in Sociotechnical Systems
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Overview
Explore how sociotechnical systems are shaped by invisible governance structures, and learn methods to uncover these mechanisms, understand the illusion of control, and amplify silenced voices to reshape our relationship with technology.
Syllabus
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- Introduction to Sociotechnical Systems
-- Definition and Components
-- Examples of Sociotechnical Systems in Action
- Invisible Governance Structures in Technology
-- Understanding Governance and Control
-- Identifying Invisible Structures in AI Systems
- AI Audits: Purpose and Practices
-- What is an AI Audit?
-- Key Methodologies for Auditing AI Systems
-- Case Studies of AI Audits
- The Illusion of Control in AI Systems
-- Exploring the Myth of Autonomy
-- Human Perception vs. Reality in AI Control
-- Implications of Misunderstood Autonomy
- Silenced Voices in Technology Development
-- Identifying Marginalized Perspectives
-- Techniques for Amplifying Diverse Voices
-- Integrating Diverse Perspectives in Design and Policy
- Reshaping Our Relationship with Technology
-- Strategies for Re-envisioning Human-Technology Interaction
-- Ethical Considerations and Responsible Innovation
-- Collaborative Approaches to System Design
- Future Directions in Sociotechnical Systems
-- Emerging Trends and Technologies
-- Challenges and Opportunities in AI Governance
- Course Review and Reflections
-- Key Takeaways and Lessons Learned
-- Open Discussion and Feedback Session
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