LLM User Privacy 101 | The Inclusive AI Lab

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Responsible AI Practitioner Bootcamp

Week 1: Predictive AI Fundamentals

The innovation of machine learning (15:17)
The AI lifecycle (7:29)
Training an AI model
Ask: Who is in the Data? (8:44)
Ask: how are they in the data? (10:36)
Ask: what are the politics of data? (11:29)
Best practice: Contextual datasets (14:20)

Week 2: GenAI Essentials

What is generative AI?
Visualizing genAI datasets
ChatGPT as a case: what goes in, what happens inside, what comes out
Content moderation models as a safety check
Portfolio Project Kickoff

Week 3: Prompt Engineering (from zero to hero)

LLM User Privacy 101
Custom Instructions in LLMs
Prompting Best Practices
Using System Prompts

Week 4: Responsible AI Principles and Emerging AI Regulations

From morality to AI ethics to responsible AI principles
Responsible AI in action: private sector, public sector, and civil society
AI Regulations: International, national, state
Portfolio Project Check In

Week 5: Responsible AI - Putting it into action

Responsible AI ingredients: protected attributes, testing, risk mitigation
Algorithmic Auditing 101
Unconfusing the Confusion Matrix
False positives, false negatives and why understanding the social world has the answers
AI for good or AI for not bad?

Week 6: AI Governance + Your Role

How Your Expertise Contributes to a Cross Functional Team
AI Governance: How to Build A Governance System for an AI Build
AI Governance Overview: Harm, Risk Assessment, and Mitigation
Portfolio Project Feedback

Week 7: Live Q&A and Portfolio Project Support

Portfolio Project - Questions to Answer

Week 8: Portfolio Project Showcase

Bringing it all together: Applying course materials to participant portfolio projects

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