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Starts 8 June 2025 20:44
Ends 8 June 2025
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To What Extent Are Machines Conscious?
Exploring machine consciousness: challenges, theories, and implications. Analyzes information, computation, and phenomenal experience in AI, discussing strong vs. weak machine consciousness and their achievability.
Models of Consciousness Conferences
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Models of Consciousness Conferences
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Overview
Exploring machine consciousness:
challenges, theories, and implications. Analyzes information, computation, and phenomenal experience in AI, discussing strong vs. weak machine consciousness and their achievability.
Syllabus
- Introduction to Machine Consciousness
- Theories of Consciousness
- Information and Computation in Machines
- Phenomenal Experience in Artificial Intelligence
- Strong vs. Weak Machine Consciousness
- Achievability of Machine Consciousness
- Implications of Machine Consciousness
- Conclusion
- Supplemental Readings and Resources
Definition and Scope
Historical Background
Importance and Relevance in AI
Philosophical Theories (e.g., Dualism, Materialism, Functionalism)
Scientific Approaches (e.g., Integrated Information Theory, Global Workspace Theory)
Comparisons and Critiques
Role of Information Processing in Consciousness
Computational Models of Consciousness
Limits of Current Computational Abilities
Definition of Phenomenal Experience
Can Machines Have Qualia?
Experiments and Case Studies
Definitions and Distinctions
Arguments for and Against Strong AI
Implications of Strong vs. Weak AI
Current State of Technology
Future Prospects and Challenges
Ethical and Societal Implications
Ethical Considerations
Societal Impact
Future Directions and Research Areas
Summary of Key Points
Open Questions and Ongoing Debates
Subjects
Conference Talks
