Home > Our work > Responsible AI> Scaling responsible AI solutions

There is an increasing awareness amongst leaders in public and private actors that a responsible approach to AI is needed to ensure its beneficial and sustainable use. However, what is still partially missing is a clear path and blueprint to ensure how to do this in a systematic way, while creating value for their organizations and communities. Implementing Responsible AI across public and private organizations is crucial and deploying at scale remains problematic.

The Scaling Responsible AI Solutions project is led by GPAI Experts, in the context of the Global Partnership on Artificial Intelligence (GPAI). This project aims at providing opportunities to deploy and scale Responsible AI solutions, showcasing results, encouraging cross-functional
collaboration, and helping adopt performance metrics with the intention to contribute to tangible outcomes that can help operationalize the RAI framework within GPAI and beyond.

In addition to tailored mentorship by GPAI experts and invited specialists, selected teams will receive a multitude of benefits and learning opportunities throughout their journey. This includes gaining insights from diverse perspectives, collaborating with other teams and experts, and accessing valuable resources and support from GPAI and its network of partners.

By participating in this project, teams will have the opportunity to shape the responsible AI landscape, contribute to global efforts in
promoting ethical and responsible AI practices, and create meaningful positive change in their organizations and communities. Join us in this exciting journey to foster responsible AI deployment and make a lasting impact!

APPLY NOW - CEIMIA IS COLLECTING THE RESPONSES

We appreciate your interest in contributing to responsible AI development. We look forward to learning more about your project and how it aligns with our goals for responsible AI implementation.

Please use this online application form to provide the following information:

1. Project Title (20 words)
2. Application domain (20 words)
3. Country
4. Team composition & affiliation of the team (company, org, etc) (50 words)
5. Description of the solution (500 words)

• Problem definition (what is this solution trying to solve?)
• Expected impact if the problem is solved and metrics of success
• How AI is used in the project
• Type of data used in the project
• Whether it is open source or proprietary
• Funding sources and conditions of funding
• Timeline & deliverables
• Link to project web page AI
• AI Responsibility assessment: Whether it has been conducted, or is planned, or is not planned

6. Challenges on scalability (150 words)
7. Challenges on responsible development & adoption (150 words)
8. Other challenges hindering the progress of the project (150 words)

We will select applicant teams based on the information provided and according to a three-level priority framework:

• Priority 1: RAI Solutions that face challenges with scaling. A RAI solution is grounded in a vision of AI that is human-centered, fair, equitable, inclusive and respectful of privacy, human rights and democracy, and that aims at contributing positively to the public good.
• Priority 2: AI Solutions that have demonstrated potential for scaling but need to validate the responsible attribute of their solution, and want to become a RAI solution.
• Priority 3: AI solutions that face challenges on both fronts (Responsibility and Scalability).

What we provide to selected teams:

During a period of 3 months (June 2023 - August 2023):

• Detailed objectives and milestones for each team
• Advice from GPAI experts and invited specialists around the challenges you are facing in your project
• Contact with government representatives, to further discuss your challenges and possible public policy mechanisms to address them, if the team is based in a country that is a GPAI member

At the end of the 3 months, we will provide:

1. Takeaway recommendations for next steps
2. Evaluation of the progress in regards to the identified challenges and of the potential of the team & solution
3. Attestation of the team’s participation in this project
4. Offer to include the project in the 2023 GPAI report on Scaling RAI Solutions
5. Possible introductions to potential partners

Limited financial support might be considered in justified cases if necessary

Non-selected teams will receive feedback motivating the decision.

What we expect:

We expect the following commitment from the selected teams from June to August 2023:

• Participation in an initial session to present the detailed proposal
• Participation in regular advice, update, and reporting sessions (minimum once a month)
• Delivering documentation of the progress during the three months
• Participation in an evaluation workshop at the end of the three months
• Contribution to writing the final GPAI report

GPAI EXPERTS 

We are fortunate to be working with esteemed experts as part of the Scaling Responsible AI project! This page details the information of those experts and mentors involved, composed of GPAI experts from the 4 GPAI working groups (Responsible AI, Data Governance, Future of Work, and Innovation and Commercialization), along with invited specialists who bring unique insights and expertise to our initiative.

Responsible AI Working Group

• Francesca Rossi, IBM Research
• Przemyslaw Biecek, Warsaw University of Technology
• Michael O'Sullivan,University of Auckland
• Daniele Pucci, Istituto Italiano di Tecnologia Research Labs Genova
• Andrea Jacobs,Code Caribbean
• Amir Banifatemi, XPRIZE
• Anurag Agrawal, Ashoka University
• Asunción Gómez Pérez, University of Madrid
• Venkataraman Sundareswaran, Independent Consultant
• Juan David Gutiérrez,Universidad del Rosario

Data Governance Working Group

• Kudakwashe Dandajena, African Institute for Mathematical Sciences (AIMS)
• Zumrut Muftuoglu, Yildiz Technical University
  
• Ulises Cortés,Universitat Politècnica de Catalunya
• Ricardo Baeza-Yates, Institute for Experiential AI of Northeastern University
• Shameek Kundu, Truera

Future of Work

• Lucia Velasco, School of Transnational Governance

Innovations & Commercialisation

• Furukawa Naohiro, ABEJA, Inc.

The call for applications for the Scaling Responsible AI Solutions 2023 project closes on June 10, 2023, at 23:55 EST. After review, shortlisted applicants will be contacted for further discussions. Engagement with the selected teams will begin on June 23, 2023.

Contact info@ceimia.org for any questions or concerns.