Applied AI Ethics & Auditing

A high-level course for future leaders. Move beyond discussion to quantitatively audit AI models for bias and fairness, creating a portfolio piece that demonstrates exceptional maturity and relevance in the Indian context.

Level

Advanced

For

Grades 10-12

Duration

3 Days

What You Will Master

Measuring Algorithmic Bias

Understand and calculate key fairness metrics like Disparate Impact and Equal Opportunity Difference.

AI Auditing Frameworks

Learn structured approaches for testing AI systems for unintended harms and biases.

Model Explainability (XAI)

Use tools like SHAP and LIME to peer inside the "black box" of a model and understand its decisions.

Technical Report Writing

Learn to communicate complex technical findings about fairness and bias to a non-technical audience in a clear, professional report.

The Capstone Project

Bias Audit of a Loan Application Model

Students are given a pre-trained machine learning model that predicts loan approvals. They will use Python libraries to audit the model for demographic bias (e.g., based on gender or age). The final deliverable is not code, but a professional PDF report detailing their findings, fairness metrics, and recommendations for mitigation, a project that is exceptionally rare and valuable for a high school portfolio.

Key Transformation

Learn to use industry-standard tools to measure and report on algorithmic bias, producing a formal audit report that showcases deep analytical and ethical thinking.

Course Syllabus

1
Session 1: The Need for AI Accountability

Review case studies where AI caused real-world harm. Understand the legal and ethical landscape, with a focus on the EU AI Act and India's DPDP Act, and their implications.

2
Session 2: The Auditor's Toolkit

Get hands-on with Python libraries like Fairlearn and AIF360. Load a pre-trained model and run your first programmatic bias checks on a real-world dataset.

3
Session 3: Interpreting the Results

Learn to read the outputs of fairness metrics and explainability plots (like SHAP). Translate technical results into concrete statements about the model's behavior and potential harms to different demographic groups.

4
Session 4: Crafting the Audit Report

Structure and write a formal audit report, complete with an executive summary, methodology, findings, and recommendations, demonstrating clear and responsible communication of a complex technical topic.

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