Course Outline

Introduction to Artificial General Intelligence (AGI)

  • Definition and scope of AGI
  • Key differences between AGI and narrow AI
  • Historical background and milestones in AGI research

The Goals and Approaches of AGI

  • Understanding intelligence: human vs. machine
  • Key approaches to achieving AGI
  • AGI frameworks and cognitive architectures

Applications and Opportunities of AGI

  • Potential use cases in various industries
  • Enhancing human capabilities with AGI
  • Future scenarios and opportunities for innovation

Ethics and Challenges of AGI Development

  • Addressing ethical concerns in AGI research
  • Risks of misuse and unintended consequences
  • Regulation and governance of AGI systems

Current Status and Future of AGI

  • Ongoing research and breakthroughs
  • Challenges in achieving AGI
  • Long-term vision for AGI in society

Hands-On Activities

  • Exploring AGI use cases through case studies
  • Participating in discussions on AGI ethics
  • Brainstorming future applications of AGI

Summary and Next Steps

Requirements

  • Basic understanding of artificial intelligence concepts (optional)

Audience

  • Tech enthusiasts
  • Non-technical professionals interested in AI
 7 Hours

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