AI Transparency & Explainability through Policy Prototyping
The Open Loop Singapore program was a collaborative initiative between Meta, Singapore’s Infocomm Media Development Authority (IMDA), and the Personal Data Protection Commission (PDPC). The program focused on co-developing and testing a policy prototype on AI transparency & explainability (T&E), rooted in Singapore’s Model AI Governance Framework (MF) and its Implementation and Self-Assessment Guide for Organizations (ISAGO). Engaging with 12 companies across the APAC region, the program aimed to refine AI governance tools and enhance their practical application in real-world scenarios.
Deployment Period | April 2020 - March 2021
Read the report now!
ASIA PACIFIC | JULY 2022
This report encapsulates the insights and strategic recommendations derived from the Open Loop’s policy prototyping program on AI Transparency and Explainability. Through a rigorous methodological approach, the program captured the nuanced experiences of participants as they implemented the policy prototype within their operations. Key areas of focus included:
PROGRAM DETAILS
Main Findings & Recommendations
The program unearthed critical insights and formulated actionable recommendations for a broad spectrum of stakeholders, including policymakers, companies, and educational institutions. Key recommendations include:
Get practical: develop best practices on assessing the added value of XAI for companies and calculating its estimated implementation cost
Connect the dots: create new or leverage existing toolkits, certifications and educational, training modules to ensure the practical implementation of XAI policy goals
Test and experiment: demonstrate the value and realize the potential of policy experimentation
Get personal: make XAI policy guidance more personalized and context-relevant
Get creative together: explore new interactive ways to co-create and disseminate policy, and increase public-private collaboration
Partners & Observers
The success of the Open Loop Singapore program was made possible through the active collaboration and engagement of IMDA and PDPC, alongside a diverse array of participating companies from the APAC region.
Explore other programs
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.
GET INVOLVED
Do you have innovative ideas on how to govern emerging technologies?
Do you want to co-develop and test new policy ideas?
We want to hear from you!
