Initiatives

To follow its mission to allow anyone, anywhere, to benefit from AI for the common good; AI Commons fosters collaboration and initiates AI-based problem-solving projects. Every initiative and project AI Commons incubates is based on the principles of collaboration and sharing.

AI Commons is an open framework and works with other organizations, initiatives and individuals that align with its mission. AI Commons intends to leverage/use existing research, guidelines, and work already done by other groups that will match its mission.

Bringing AI Expertise Closer To The Source

We believe problems & challenges are best solved with the wisdom of those experiencing them. However, AI resources and capabilities are concentrated and among a small and privileged minority. There is a disconnect between the needs of local communities and AI researchers who want to work on real world issues. We call the first group “problem owners” and the second group “problem-solvers”. We connect problem owners with problem solvers to make sure that the most impacted people are participating in the problem solving. AI Commons creates collaborative frameworks and templates for a variety of stakeholders to work and create together.

Collaboration Methodology

Program
LIFE360
Year
2020

AI Commons organized a Health and Well-being Hackathon in partnership with Data Science Nigeria in June 2020. The hackathon brought together 100 people for an online ideation workshop. Participants included problem owners such people who personally experienced health challenges in the region, as well as health workers, students, academic researchers, solution developers, and technical experts. 

Ideation workshop started with raising awareness about local health challenges with existing solutions. The community of problem owners and problem solvers then explored ways to improve existing solutions by evaluating them and identified new ones. Organizers and participants co-built an open collaboration model and methodology that can be used in other contexts and improved upon. 

LIFE360 is an accessible and decentralized framework of collaboration for AI-based-problem-solving for all.

Members:
Partners:

AI Repository

Program
Shared Resources
Year
2020

AI Commons Repository is a common repository of trained ML/AI models along with their training data sets that have been used for AI For Good solutions to serve as a resource for all communities of practice to advance applications of ML/AI techniques for AI For Good purposes.

Members:
Alexandre Cadain
Director of Development
Anna Bethke
AI for Good Projects
Maria Axente
Director of Outreach
Julien Cornebise
Director of Research
Ramesh Raskar
MIT Media Labs
Alpesh Shah
IEEE Standards
Uyi Stewart
Executive Director
Tara Chklovski
Technovation
Partners:
XPrize, District 3, ITU, Mila, Sahara Ventures, Fondation Botnar,

AI Community Hubs

Program
Community
Year
2019

Connecting problem owners to problem solvers is important to identify how real challenges on the ground that can be addressed using AI. Living and learning labs around the world acting as AI community hubs help matching problems solvers with problem owners, identify data sources and help build solutions that can be immediately used locally. Here are some of the active AI Community Hubs

Members:
Ramesh Raskar
MIT Media Labs
Xavier Herve
Concordia University
Myriam Côté
University of Montreal
Gilles Fayad
Director of Development
Kenny Chen
Partnership to Advance Responsible Technology (PART)
Sydney Swaine-Simon
Concordia University
Mathilde Forslund
Director of Development
Jumanne Rajabu
Sahara Ventures
Uyi Stewart
Executive Director
Eric Espinosa
Cities and Community Impact
Tara Chklovski
Technovation
Partners:
District 3, Sahara Ventures, PWC, Swissnex, Fondation Botnar, The Future Society,

Making Actionable Knowledge On AI Accessible

There is growing interest globally in using AI technologies to address common challenges. In order to achieve this, we need to know where to start and how to approach problem-solving with AI. We want to make sure that practical AI knowledge flows freely and is used where it’s most needed. Imagine a knowledge hub (like GitHub or Wikipedia) where communities of AI experts, practitioners, researchers, entrepreneurs, and regular people can find templates, roadmaps, and examples of AI solutions used for common good. We envision this knowledge hub to be co-created with our community and to be accessible to all.

AI Solution Template

Program
LIFE360
Year
2020

AI Commons developed an extensive template for AI solutions. The solution template aims to increase the accessibility, reproducibility, contextualization, and enhancement of Artificial Intelligence solutions locally and globally.

Members:
Partners:

Storytelling Challenges

Program
Shared Resources, Challenges
Year
2019

Dataset Challenge

In this challenge, participants develop an algorithm that can generate a character profile when provided the name of a ​prominent female in history, science, technology, or culture including folklore and myth. The result of the challenge is contributed to AI Commons to be used globally and incentivize for more diverse and women focused inspiration on innovation.​

Members:
Davar Ardalan
IVOW
Nishan Chelvachandran
Aprajita Mathur
Partners:
Ivow AI, IACrowd, ANIMA,

Global Data Commons

Program
Shared Resources
Year
2019

The Global Data Commons (GDC) aims at proposing models to support the creation of data commons on a global basis, and providing mechanisms for rules-based access to data and help leveraging the revolution in advanced analytics and Artificial Intelligence to support the achievement of the UN Sustainable Development Goals (SDGs).

Members:
Alexandre Cadain
Director of Development
Cyrus Hodes
Data Initiatives
Nicolas Miailhe
AI Governance
Julien Cornebise
Director of Research
Alpesh Shah
IEEE Standards
Yolanda Lannquist
Data and AI Governance
Partners:
XPrize, Ocean Protocol, ITU, The Future Society, IEEE Standards,

AI Collaboration Sandbox

Program
Community
Year
2019

To help all problem solvers work on real cases with problem owners, model AI sandbox are open “Safe environments” to be used for collaboration and solution evaluation. These sandboxes incorporate AI/ML algorithms, training data sets, and cloud and compute resources, and help anyone to start evaluating real life solution evaluation.

Members:
Amir Banifatemi
Sean McGregor
Research and Technology Lead
Anna Bethke
AI for Good Projects
Julien Cornebise
Director of Research
Alpesh Shah
IEEE Standards
Uyi Stewart
Executive Director
Nishan Chelvachandran
Tara Chklovski
Technovation
Yale Fox
Partners:
ITU, Mila, PWC, Pontifical Academia, CHAI, IEEE Standards,

Making AI Resources Readily Available

To use AI for the common good, we need to have access to AI resources such as data. Quality and timely data are essential for effective AI solutions. However, data is treated as an exclusive commodity, siloed and monetized by organizations. AI Commons promotes a commons approach vis-à-vis AI resources including data to unlock the potential of AI solutions for the common good.

GenderNet

Program
AI Commons
Year
2020

GenderNet is a project initiated by AI Commons. Machine learning researchers need benchmark datasets to train their algorithms. Biased and non-representative datasets lead to harmful AI solutions that systematically undermine underrepresented groups such as women and LGBTQIA++. To close the gender data gap, AI Commons with ITU launched a call for ethically sourced, diverse, and balanced gender dataset that will help make biases visible. GenderNet is inspired by the infamous ImageNet. Balanced gender representation in datasets is not a silver bullet solution to eliminate bias, however it’s a good starting point to craft AI solutions that support social good.

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Global Data Pledge

Program
ITU
Year
2020

AI Commons launched the Global Data Pledge in partnership with ITU’s Global Initiative on AI and Data Commons. The Global Data Pledge functions on the basis of collective action to make data available around ‘trigger events’ such as Covid-19. The goal is to make data available as a public resource especially in the face of global events and challenges. The Global Data Pledge is open to all interested parties. It is collaborative and transparent and focuses on impact and scalability. Fill in this form to join us to make data available when it matters. 

Members:
Partners:

ImpactNet

Program
Shared Resources, Scaling AI
Year
2020

ImpactNet is an AI for Impact benchmark database. This initiative will produce model datasets and model AI solutions. Datasets will allow more researchers to use their models on new areas that will have an impact on helping achieve AI for Good. AI solutions will allow problem solvers to adopt validated AI for good solutions to scale those solutions in areas of SDGs to accelerate impact.

Members:
Amir Banifatemi
Sean McGregor
Research and Technology Lead
Hamed Alemohammad
Data Science and ML for Earth Observation
Trent McConaghy
Technology and project lead
Laure Delisle
Research and project lead
Tara Chklovski
Technovation
Partners:
XPrize, Ocean Protocol, Mila, Radiant Earth Foundation, Fondation Botnar, Pontifical Academia, CHAI, IEEE Standards,