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Duration 7 hours
Course Outline
Overview of Artificial General Intelligence (AGI)
- Defining the scope and nature of AGI
- Contrasting AGI with narrow AI
- Historical context and significant milestones in AGI research
Objectives and Methodologies in AGI
- Defining intelligence: human versus machine perspectives
- Principal strategies for realizing AGI
- Frameworks and cognitive models for AGI
Uses and Prospects of AGI
- Potential applications across diverse sectors
- Augmenting human abilities through AGI
- Future scenarios and avenues for innovation
Ethical Considerations and Obstacles in AGI Development
- Navigating ethical issues within AGI research
- Risks associated with misuse and unforeseen outcomes
- Governance and regulatory frameworks for AGI systems
Present State and Trajectory of AGI
- Current research activities and recent breakthroughs
- Difficulties in attaining AGI
- Long-term societal vision for AGI
Practical Exercises
- Analyzing AGI use cases via case studies
- Engaging in debates on AGI ethics
- Ideating future applications of AGI
Recap and Subsequent Steps
Requirements
- Foundational knowledge of artificial intelligence concepts (not required)
Target Audience
- Technology enthusiasts
- Non-technical professionals with an interest in AI
Testimonials (2)
The historical knowledge of what when and why happened. The training helped me "connect the dots".
Jadwiga Marciniak - GE Aerospace Poland Sp. z o.o.
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Comparison between GenAI and friendly condition in class