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Starts 7 June 2025 00:25

Ends 7 June 2025

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You Can Only Design a System to the Limit of What You Can Plan For

Explore systems thinking with Joe Barnes as he discusses how competition drives innovation, the importance of building, and the future of human-AI collaboration.
USC Information Sciences Institute via YouTube

USC Information Sciences Institute

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Overview

Explore systems thinking with Joe Barnes as he discusses how competition drives innovation, the importance of building, and the future of human-AI collaboration.

Syllabus

  • Introduction to Systems Thinking
  • Definition of Systems Thinking
    Key elements and principles
    Importance in AI and technology design
  • Competition and Innovation
  • Role of competition in driving innovation
    Case studies of successful innovations
    Lessons from history: Competition and technological breakthroughs
  • Designing Systems within Constraints
  • Understanding limits in system design
    Planning for known vs. unknown variables
    Strategies for anticipating challenges
  • Building and Iteration
  • The importance of the build-test-learn cycle
    Agile methodologies in system development
    Case studies of successful iterative designs
  • Human-AI Collaboration
  • Historical perspective on human-technology collaboration
    Current trends in AI and collaborative tools
    Predictions for future human-AI interaction
  • Ethical Considerations in System Design
  • Understanding bias in AI systems
    Building ethical frameworks for AI
    Future of ethical considerations in AI-driven systems
  • Course Project: Designing a Future System
  • Initial planning and proposal
    Prototyping and iteration
    Final presentation and feedback
  • Conclusion and Future Outlook
  • Summary of key learnings
    Discussion on where systems thinking is heading
    Final thoughts on innovation and collaboration in AI systems.

Subjects

Computer Science