ai-ethics-casefiles

⚖️ AI Ethics Casefiles

A portfolio exploring real-world challenges in AI ethics through practical demonstrations and actionable recommendations.

📌 Project Overview

AI systems increasingly shape decisions in hiring, healthcare, and public policy. This project investigates two ethically controversial cases — one in recruitment, the other in healthcare — and features an interactive demonstration of algorithmic bias.

📂 What’s Inside

• src/bias-demo.ipynb — Jupyter notebook demonstrating gender bias in algorithmic decisions
• slides/ai-ethics-casefiles.md — Presentation for stakeholders and non-technical audiences
• docs/report.md — Written analysis of case studies, with citations and ethical insights
• assets/ — Stores the cover image used as a banner in the documentation
• docs/export/ — PDF versions of notebook, slides, and report

📽️ Slides

🚀 Getting Started

Clone the repository and open the notebook:

git clone https://github.com/augusto-mate/ai-ethics-casefiles.git
cd ai-ethics-casefiles/src
jupyter notebook bias-demo.ipynb

To view the slides:

cd ../slides

Use Marp to render ai-ethics-casefiles.md.

⚠️ Limitations

This work is intended for educational and illustrative purposes only.

• The dataset used in the notebook is synthetic and small-scale
• The analysis focuses on specific ethical issues and is not exhaustive
• Case study details were reconstructed from publicly available information

Transparency about these limitations supports responsible and honest communication in AI ethics.

📚 References

• AI Ethics Guidelines Global Inventory
• AI Now Institute Publications
• DARPA: Explainable AI

👤 Author

Developed by Augusto Mate
Available under MIT License — details in LICENSE

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