AI Transparency & Explainability
The Open Loop Mexico program was a collaborative effort between Meta, C Minds, and the Inter-American Development Bank (IDB) to develop a governance framework and a practical playbook for transparency and explainability (T&E) in AI systems. The program involved working with a group of 10 Mexican companies that use AI to test the prototype and provide feedback. The overarching goal was to strengthen responsible AI in Mexico by promoting T&E practices.
Deployment Period | February - August 2021
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MEXICO | August 2023
This report unveils the outcomes and strategic insights from the Open Loop Mexico program on AI Transparency and Explainability. The initiative focused on crafting and testing a Public Policy Prototype on the Transparency and Explainability of Artificial Intelligence Systems, including Automated Decision-Making (ADM) systems. The program's core objectives were:
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PROGRAM DETAILS
Main Findings & Recommendations
The program's outcomes resulted in several notable recommendations to enhance transparency and explainability in AI systems, including:
Clarity and Effectiveness
Emphasizing the importance of clear communication and comprehension of AI system internal workings for users and stakeholders.
Viability
Ensuring the benefits of transparency and explainability outweigh the associated costs and implementation efforts.
Comprehensive Explanations
Encouraging companies to provide concise and easily understandable explanations of their AI systems, including decision-making rationale and data processing details.
Integration with User Experience
Incorporating transparency and explainability messages seamlessly into the user journey, including notifications, messages, and visual aids.
The Open Loop Mexico program demonstrated the potential of collaborative approaches to developing effective AI governance frameworks.
Partners & Observers
The program was a collaborative effort involving Meta, C Minds’ Eon Resilience Lab, the Inter-American Development Group (IDB) through its fAIr LAC initiative with the support of Mexico’s National Institute for Transparency, Access to Information and Personal Data Protection (INAI). This partnership was instrumental in aligning the program with national transparency and data protection standards and priorities.
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Generative AI Risk Management
Meta’s Open Loop program is excited to be launching its first policy prototyping program in the United States, which is focussed on the National Institute of Standards and Technology (NIST) AI Risk Management Framework (RMF) 1.0. The program will give consortium participants the opportunity to explore how the NIST AI RMF could help manage risks while developing and deploying Generative AI systems. At the same time, the program will seek to provide valuable insights and feedback to NIST as they work on future iterations of the RMF.
Artificial Intelligence Act
The EU AI Act program is the largest policy prototyping initiative to date, engaging over 60 participants from more than 50 companies developing AI and ML products. The program was structured into three pillars, each focusing on key articles of the EU proposal and assessing and scrutinizing them.
Privacy-Enhancing Technologies
The Open Loop Brazil program was launched in tandem with a twin policy prototyping program in Uruguay, with the aim of guiding and enabling companies in Brazil to leverage and apply privacy-enhancing technologies (PETs) to help deidentify data and mitigate privacy-related risks.
Human-centric AI
The Open Loop India program was a collaborative effort between Meta, ArtEZ University of the Arts and The Dialogue, to develop a stakeholder engagement framework that operationalizes the principle of human-centered AI.
AI Impact Assessment
This program aimed to develop and test a risk assessment framework, called ADIA (Automated Decision Impact Assessment), for AI applications deployed in Europe.
Privacy-Enhancing Technologies
The Open Loop Uruguay program was launched in tandem with a twin policy prototyping program in Brazil, with the aim of guiding and enabling companies in Uruguay to leverage and select privacy-enhancing technologies (PETs) to help de-identify data and mitigate privacy-related risks.
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