Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone. It provides several types of visualization that display explicit labels that everyone can understand.
USABy The Algorithmic Justice League
The Gender Shades project evaluates the accuracy of AI powered gender classification products. This evaluation focuses on gender classification as a motivating example to show the need for increased transparency in the performance of any AI products and services that focused on human subjects. Bias in this context is defined as having practical differences in gender classification error rates between groups.
In collaboration with nonprofit organization Guiding Eyes for the Blind, Google today piloted an AI system called Project Guideline, designed to help blind and low-vision people run races independently with just a smartphone.
MASAKHANE is an research effort for natural language processing for African languages that is OPEN SOURCE, CONTINENT-WIDE, DISTRIBUTED and ONLINE. This project houses the community, data, code, results and research for building open baseline translation results for African languages (other NLP tasks coming soon...).
See Masakhane News
USABy Google X
Alphabet Inc.’s experimental research and development lab X made Project Amber, early-stage mental health freely available for the mental health community to build upon their technology and research findings.
By Partnership on AI
The purpose of the study is to gain insight into the various factors that contribute to an inclusive climate in tech more broadly, and AI teams more specifically. This work is crucial to understanding more about attrition in the field of AI.
FranceBy The Cancer Grand Challenges
The Cancer Grand Challenges’ Mutographs team, an international research group funded by Cancer Research U.K., is using machine learning models to study DNA from the tumors of 5,000 patients with five cancer types: pancreas, kidney and colorectal cancer, as well as two kinds of esophageal cancer.
USABy Intel, Microsoft
Researchers from Intel and Microsoft joined forces to study the use of deep learning for malware threat detection in this whitepaper.
By The Future Society
The AI Civic Forum aims to bring together diverse communities of citizens, policymakers, academics, experts, private sector representatives and other key stakeholders to deliberate on the ethical design, deployment, and governance of AI.
USABy The Stanford Institute for Human-Centered Artificial Intelligence, The Future Society
CAIAC helps decision makers make sense of the overwhelming amount of information and uncertainty surrounding COVID-19 and its cascading effects