Resources

Stanford's Human-Centered AI research output, browsable and filterable by topic.

Individual model cards often document limitations, risks, and mitigations per model — worth mining for the fixes, not just the problems.

Competitions, datasets, and notebooks spanning applied ML and data science.

Trending AI research papers with code, datasets, methods, and evaluation leaderboards.

A searchable repository of real-world harms and near-misses caused by deployed AI systems.

The freshest AI research preprints as they're submitted, browsable by date.

The largest (500+) collection of software testing blogs in the world.

Discover authentic opinions, tutorials, and stay up-to-date with all the latest test automation trends.

The largest testing community in the world.

The largest testing community in Finland.

Context-driven testing community in Finland.

The greatest collection of international testing events.

The largest testing event in Finland.

Massive collection of articles about testing fundamentals, skills in testing, test design, exploration, learning and even social sciences.

A set of patterns that helps testers to design and perform testing.

A quick read about ways to take advantage of the multiple information sources needed for ambitious testing.

By Elisabeth Hendrickson, James Lyndsay, and Dale Emery — a collection of data type attacks, web tests, heuristics and frameworks.

An evolving list of strings which have a high probability of causing issues when used as user-input data.

Become a test automation superstar — free.

All course material for BBST, the most prominent testing education.

Thematic analysis of Maaret's writings around exploratory testing.

Community curated book list for software development and testing.