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Starts 3 June 2025 06:23

Ends 3 June 2025

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Love and Robots - Filtering Cheeky from Toxic with AI Content Moderation

Explore AI's role in content moderation, distinguishing harmful from benign content through context-aware technology to foster genuine online connections.
Data Science Festival via YouTube

Data Science Festival

2413 Courses


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

Subjects

Data Science