Consciousness Meets AI for a New Paradigm

Overview

Exploring connections between consciousness and AI, combining theories like Global Workspace Theory with deep learning to develop a new paradigm for general-purpose intelligence and brain-to-brain communication.

Syllabus

• Introduction to Consciousness and AI
Overview of Consciousness Studies
Introduction to Artificial Intelligence
Objectives of the Course
• Theories of Consciousness
Global Workspace Theory
Integrated Information Theory
Other Relevant Theories
• Fundamentals of Deep Learning
Basics of Neural Networks
Introduction to Feedforward and Recurrent Networks
Deep Reinforcement Learning
• Bridging Consciousness and AI
Overlap between Consciousness Theories and AI
Potential for AI to Model Consciousness
Challenges and Ethical Considerations
• Developing a New Paradigm
Conceptualizing General-Purpose Intelligence
Brain-to-Brain Communication: Theory and Possibilities
Innovations in AI Driven by Consciousness Studies
• Case Studies and Applications
Current Applications and Experiments
Prospects for Future Research
• Practical Workshop
Designing and Implementing AI Models Inspired by Consciousness
Interfacing AI with Human Cognitive Abilities
• Ethical and Philosophical Considerations
Ethical Concerns in AI and Consciousness Research
Philosophical Implications of AI with Consciousness-like Attributes
• Conclusion and Future Directions
Summarizing the New Paradigm
Future Trends in AI and Consciousness Integration
• Additional Resources and Reading
Recommended Books and Papers
Online Resources and Courses
• Feedback and Assessment
Course Evaluation
Group Discussions and Final Project

Subjects

Conference Talks