Shapash

SOLUTION

France

By MAIF

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.


OcéanIA

RESEARCH

France

By Inria

Artificial Intelligence and modeling for understanding oceans and climate change.

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Gender Shades

RESEARCH

USA

By 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.

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The AI Incident Database (AIID)

DATABASE

USA

By Partnership on AI

The AI Incident Database (AIID) is a systematized collection of incidents where intelligent systems have caused safety, fairness, or other real-world problems.

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White Collar Crime Risk Zones

SOLUTION

USA

White Collar Crime Risk Zones uses machine learning to predict where financial crimes are mostly likely to occur across the US.


Tree Canopy Lab

SOLUTION

USA

By Google

Google is mapping tree canopy coverage using aerial imagery in Los Angeles. Tree coverage varies across neighborhoods and developing an understanding of tree locations can inform and inspire action.

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Project Guideline

RESEARCH

By Google

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.

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Polis

SOLUTION

USA

Polis is a real-time system for gathering, analyzing and understanding what large groups of people think in their own words, enabled by advanced statistics and machine learning.

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Indigenous AI

RESEARCH

The Indigenous Protocol and Artificial Intelligence (A.I.) Working Group develops new conceptual and practical approaches to building the next generation of A.I. systems.

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Masakhane

RESEARCH

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...).

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Carbontracker

SOLUTION

USA

Carbontracker is a tool for tracking and predicting the energy and carbon footprint of training DL models.

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Project Amber

RESEARCH

USA

By 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.

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AMSimp

SOLUTION

Ireland

AMSimp is creating open-source software that leverages machine learning to improve numerical weather predictions.

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AI for children

RESEARCH

By UNICEF

Exploring how to embed child rights in the governing policies of artificial intelligence

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Diversity Equity and Inclusion in AI – Interview Study

STUDY

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.


AI Cures

RESEARCH

USA

By Jameel Clinic

AI Cures is a group of machine learning and life science researchers who are collaborating on developing machine learning methods for finding promising antiviral molecules for COVID-19 and other emerging pathogens.

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The Cancer Grand Challenges’ Mutographs

RESEARCH

France

By 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.

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Static malware-as-image network analysis (STAMINA)

RESEARCH

USA

By Intel, Microsoft

Researchers from Intel and Microsoft joined forces to study the use of deep learning for malware threat detection in this whitepaper.

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The AI Civic Forum

SOLUTION

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.

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Collective and Augmented Intelligence Against COVID-19 (CAIAC)

SOLUTION

USA

By 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

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