accountability

A curated list of awesome machine learning interpretability resources.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

H2O.ai Machine Learning Interpretability Resources

A library that implements fairness-aware machine learning algorithms

Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

youtube & tiktok analysis + youchoose recommendation custmizer. backend, extensions, and tooling

Project Lockdown (an initiative from The IO Foundation) is a civic tech, interactive platform providing an overview of the state of Human and Digital Rights around the globe. It evaluates policies obtained from official sources that may impact their observance. It provides, among other tools, a layered map interface that allows for a visual repr…

A national archive of police data collected by journalists, lawyers, and activists around the country.

A Python wrapper for the OpenFEC API.

Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

Custom Python/Django CMS - Transparency for Public Projects (used for BERwatch/BLBwatch)

SenateTrades: what stocks are your senators buying?

Plugin to make WordPress more Wiki-like by allowing more than one person to edit the same Post, Page, or Custom Post Type at the same time. When there are conflicting edits, it helps users to view, compare, and merge changes before saving.

WordPress plugin that enables updates to published content to be held in a draft state, or to be submitted for moderation and approval before they go live. It makes WP’s native Revisions more accountable by extending the system’s tracking of changes to taxonomy items and featured images, and improves the ‘Compare Revisions’ interface.

Chilean Municipalities Information System (SINIM) Wrapper 📈🏛🇨🇱

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Open source for https://starcitizentracker.github.io/

Data on Digital Media and Technology Expenditures in the United States Congress

A dataset on unclassified training activities for non-US security forces arranged and funded by the United States Department of State and Department of Defence between 2001 and 2021. Sources, scraping, cleaning and publishing toolset included. Search and explore the data at: https://trainingdata.securityforcemonitor.org

Engine of our parliamentary monitoring platform