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We need regulatory innovation
just as much as we need tech innovation.
This week we are publishing a new Open Loop report. This time around we are presenting the findings and recommendations of our policy prototyping program on AI transparency and explainability, which was rolled out in the Asia-Pacific (APAC) region from April 2020 to March 2021, and in partnership with Singapore’s Infocomm Media Development Authority (IMDA) and Personal Data Protection Commission (PDPC).
We worked with 12 companies across the APAC region to co-develop and test a policy prototype on AI transparency & explainability based on Singapore’s Model AI Governance Framework (MF) as well as its Implementation and Self-Assessment Guide for Organizations (ISAGO).
Through our methodological approach, we captured the experience of participants receiving, handling and following the policy prototype, testing in this way its clarity, effectiveness and actionability. In the process we learned how the participants made use of the policy prototype to build and deploy AI explainability solutions in practice, in the context of their specific products and services.
Date: Monday 9th May 2022
Start time: 09:00-10:30 ET / 14:00-15:30 BST / 15:00-16:30 CEST
Duration: 90 mins
Led by: Norberto Andrade, Antonella Zarra (Open Loop / Meta) and Johannes Anttila, Iacopo Gronchi (Demos Helsinki)
This workshop is for anyone who is interested in experimental and evidence-based policymaking. We have applied various testing and experimentation tools – such as rapid policy prototyping and regulatory sandboxing – in the real world and alongside businesses and regulators, informing actual tech policies in development. In this workshop we share our insights and some practical tools and templates which can help you deploy your own experimental policy initiatives.
In this workshop you will:
– Increase your knowledge of experimental governance approaches, its uses and possibilities to create better policy in the sphere of emerging tech
– Receive approachable, concrete tools and guidance for how to do experimental governance in practice
– Learn how to create and foster connections and collaboration between different actors (government, industry, civil society, academia) working on tech governance
On March 31, Open Loop, in partnership with the think tank Demos Helsinki, explored case studies of current initiatives of experimental governance (e.g regulatory sandboxes) around the world with speakers from the Malta Digital Innovation Authority, the Latin America Development Bank, the OECD and University College London, who identified best practices and ways forward for the future of tech regulation.
The event gathered over 30 participants from institutions, civil society, industry and academia. The final part of the series will take place in late April.
To join our global experts group and participate in the next event, sign up here.
…and we’re looking forward to collaborating in their Technology Assurance Sandbox!
Our shared goal is to strengthen the quality of rulemaking processes in the field of tech policy. We will co-create policy prototypes and test new and different approaches to regulation through techno-regulatory design, experimentation, and technology sandboxes. Stay tuned for more news on this collaboration!
CogX is the home of the world’s biggest and most inclusive Festival of AI, Blockchain, the Metaverse and all the latest Transformational Technologies, which this year will take place on 13th-15th June, in London. In 2019, it brought together over 600 speakers and 20,000 members of the AI community to discuss the Impact of AI and emerging technology.
On Monday 14th March 2022, at the annual CogX Awards ceremony, 61 Awards were announced from Best Innovation to Recognizing Leadership. Open Loop, the innovative experimental governance program supported by Meta, was distinguished with the award for Outstanding Achievements & Research Contributions, Tech Regulation (see the full list of the CogX 2022 Award Winners here).
Historically, the Awards have included some of the most successful up-and-coming technology start-ups and entrepreneurs. Past winners also include Deepmind, PwC, AstraZeneca, OpenAI and Spotify.
Thank you to all our incredible partners, participants and collaborators. This award is for all of you.
This report presents the findings and recommendations of the Open Loop’s policy prototyping program on AI Impact assessment, which was rolled out in Europe from September to November 2020.
As the report outlines, the results of Open Loop’s first policy prototyping experiment were very promising. Based on feedback from the companies we collaborated with, our prototype version of a law requiring AI risk assessments, combined with a playbook for how to implement it, was clearly valuable to the participants as a tool for identifying and mitigating risks from their AI applications that they may not have addressed otherwise.
The experiences of our partners highlighted how this sort of risk assessment approach can inform a more flexible, practicable, and innovative method to assessing and managing AI risks compared to more prescriptive policy approaches.