Overview
Explore the impact of big data, AI, and social media on information flow and personal privacy, examining potential risks and societal implications.
Syllabus
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- Introduction to Big Data and AI
-- Definitions and basic concepts
-- History and evolution of big data and AI
-- Key technologies and tools
- Impact of Big Data on Information Flow
-- Data collection techniques
-- Data analysis and interpretation
-- Case studies in information dissemination
- AI in Social Media
-- AI algorithms and social media platforms
-- Influence of AI on content visibility and virality
-- Social media analytics and insights
- Privacy Concerns and Ethical Implications
-- Data privacy regulations (GDPR, CCPA)
-- Ethical considerations in AI and data usage
-- Balancing innovation with privacy rights
- Societal Implications of AI and Big Data
-- Effects on employment and the job market
-- AI in decision-making processes
-- AI’s role in shaping public opinion
- Potential Risks and Challenges
-- Security risks of big data and AI
-- Bias and discrimination in AI systems
-- Mitigation strategies and responsible AI practices
- Future Directions and Innovations
-- Emerging trends in AI and big data
-- Technological advancements on the horizon
-- The future of personal privacy in the digital age
- Conclusion and Reflections
-- Summary of key learnings
-- Open discussion on future implications
-- Preparing for a data-driven world
- Assessments and Projects
-- Participation in discussions
-- Group projects on real-world scenarios
-- Final project or presentation on a selected topic
- Additional Resources
-- Recommended readings and media
-- Online tools and platforms for further learning
-- Community forums and networks for continued engagement
Taught by
Tags
On-Demand
