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Starts 3 June 2025 06:23
Ends 3 June 2025
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11 minutes
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Overview
Explore AI's role in content moderation, distinguishing harmful from benign content through context-aware technology to foster genuine online connections.
Syllabus
- Introduction to AI Content Moderation
- Understanding Language and Nuance
- AI Techniques in Content Moderation
- Technology and Tools
- Designing Context-Aware Systems
- Ethics and Bias in AI Moderation
- Case Studies and Applications
- Fostering Genuine Online Interactions
- Future of AI in Content Moderation
- Practical Workshop
- Final Project
Overview of AI in digital communication
Importance of content moderation for online communities
Basics of natural language processing (NLP)
Cultural and contextual nuances in communication
Challenges in distinguishing between cheeky and toxic language
Machine learning models for text classification
Sentiment analysis and its limitations
Contextual language models (e.g., transformers)
Overview of existing content moderation tools
OpenAI's GPT, Facebook's Rosetta, and similar technologies
Incorporating contextual information into AI models
Handling ambiguity and sarcasm
Addressing AI bias and fairness in content moderation
Ethical considerations in automated moderation
Real-world examples of AI moderation success and failures
Best practices in deploying AI moderation systems
Techniques for promoting positive communication
Building inclusive and respectful online environments
Emerging technologies and trends
Future challenges and opportunities
Hands-on session with AI moderation tools
Analyzing and improving sample moderation systems
Design a content moderation strategy for a chosen platform
Presentation and peer review of projects
Subjects
Data Science