This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

A command line tool to easily add an ethics checklist to your data science projects.

website, lectures, and other material for Columbia University course "data: past, present, and future"

A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.

Lesson guide and textbook for "Data as a Science" course.

Data Hazards is a project to find a shared vocabulary for talking about worst-case scenarios of data science - and to use that vocabulary to help people understand and avoid Data Hazards.

Revolutionizing collaborative thinking and problem-solving through intelligent ranking systems and gamified AI research contribution. A hybrid gaming-educational mobile platform that combines engaging game mechanics with generative AI education and research.

Google Data Analytics Professional Certificate on Coursera. (All assignments, challenges, and capstones)

A thought-provoking article exploring how to think like a data scientist, without writing a single line of code. Covers the mental framework behind curiosity, structured reasoning, hypothesis testing, and data-driven storytelling, helping readers build analytical intuition beyond tools or syntax.

The fast.ai data ethics course

A repo that takes you through some principles about data privacy based on the Kenya Data Protection Act and General Data Protection Regulation. Useful for a data person.

Handling and Sharing Qualitative Data Responsibly and Effectively

Learn how to deploy your own LLM in the de.NBI cloud via a step-by-step guided journey throughout an entire lifecycle from design via deployment to productive operation.

The project advocates for the implementation of data ethics principles to contribute to an overall improvement in the efficiency, fairness, and transparency of the criminal justice system.

Women in Data; 2024 Datathon; Generative AI; DARIS-19

This folder contains my Individual Task reports for Fundamentals of AI & ML (B.Tech). It covers Human, Animal, and Machine Intelligence, Data Essentials with Big Data and ethics, and Feature Extraction in Machine Learning. Each report explains key concepts, methodologies, and practical insights.

An automated survey of literature and curricula surrounding ethics in data science. WIP.

NLP verdict classification of ColombiaCheck fact-checks (Spanish · BETO) — with model cards, datasheets, and data statements.

US Income Tax Audit Algorithms

Public-interest data and AI ethics project focused on the human consequences of policy, automation, institutional design, and economic decisions.