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.
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Updated
Feb 28, 2025 - HTML
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.
Data ethics and society reading group for cross government. We run sessions on books and articles relating to ethics in data science and AI for public sector colleagues.
The fast.ai data ethics course
Meritocracy, Stratification, & Exclusion. A more ethical framework.
This GitHub repository contains the source files for the Computer Ethics Education Center website.
AI and Software Engineering Ethics Argumentation System
A collection of ML-related active learning datasets, including algorithms, .ipynb pipelines, .py scripts and curated and ethically aligned synthetic data.
A list of courses on Ethics in AI for self-learning.
Notes for ENGR 19 - Ethics in Technology for Spring 2020.
Explore the ASI Active Learning Dataset, a valuable resource for machine learning enthusiasts, featuring ethically aligned synthetic datasets and essential scripts. Dive into the structured modules to enhance your active learning experiments! 🐙📊
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