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Starts 8 June 2025 10:59
Ends 8 June 2025
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Overview
Explore the complexities of artificial intelligence, its implications for human identity, and the challenges of machine-driven information gathering and processing in modern society.
Syllabus
- Introduction to Artificial Intelligence
- Theoretical Foundations of AI
- AI and Human Identity
- Machine-Driven Information Gathering
- AI in Modern Society
- Challenges in AI Development
- Case Studies
- Conclusion and Future Directions
Definition and History of AI
Key Concepts and Terminology
Machine Learning Principles
Neural Networks and Deep Learning
Natural Language Processing
AI and Consciousness
Ethical Considerations in AI
The Impact of AI on Human Roles
Data Collection Techniques in AI
Big Data Analytics
Privacy and Security Concerns
AI Applications in Various Industries
Societal Implications of AI Deployment
Regulation and Governance of AI Technologies
Bias and Fairness in AI
Transparent and Explainable AI
The Future of Human-AI Interaction
AI Success Stories and Failures
Current Developments and Trends
Recap of Key Learnings
Predictions for AI Evolution
Opportunities for Further Study
Subjects
Conference Talks
