Article by Stuart Russell: “Obtaining consensus on a definition for an AI system in any sector or group of experts has proven to be a complicated task. However, if governments are to legislate and regulate AI, they need a definition to act as a foundation. Given the global nature of AI, if all governments can agree on the same definition, it allows for interoperability across jurisdictions. Recently, OECD member countries approved a revised version of the Organisation’s definition of an AI system. We published the definition on LinkedIn, which, to our surprise, received an unprecedented number of comments. We... (More >)
Elon Musk is now taking applications for data to study X — but only EU risk researchers need apply…
Article by Natasha Lomas: “Lawmakers take note: Elon Musk-owned X appears to have quietly complied with a hard legal requirement in the European Union that requires larger platforms (aka VLOPs) to provide researchers with data access in order to study systemic risks arising from use of their services — risks such as disinformation, child safety issues, gender-based violence and mental heath concerns. X (or Twitter as it was still called at the time) was designated a VLOP under the EU’s Digital Services Act (DSA) back in April after the bloc’s regulators confirmed it meets their criteria for an extra... (More >)
Understanding AI jargon: Artificial intelligence vocabulary
Article by Kate Woodford: “Today, the Cambridge Dictionary announces its Word of the Year for 2023: hallucinate. You might already be familiar with this word, which we use to talk about seeing, hearing, or feeling things that don’t really exist. But did you know that it has a new meaning when it’s used in the context of artificial intelligence? To celebrate the Word of the Year, this post is dedicated to AI terms that have recently come into the English language. AI, as you probably know, is short for artificial intelligence – the use of computer systems with qualities... (More >)
Was vTaiwan such a big flop, after all?
Blog by Beth Noveck: “A recent issue of the Daily Beast featured an article about vTaiwan, Taiwan’s flagship crowdlaw project to engage the public in the legislative process, reporting what I long suspected and feared: early success has not translated into lasting impact or institutionalization of public participation in policymaking. “The platform hasn’t been used for any major decisions since 2018” said vTaiwan co-creator and former Taiwanese legislator Jason Hsu. He went on to add that: “since the government is not mandated to adopt recommendations coming from vTaiwan, ‘legislators don’t take it seriously.’” After vTaiwan enabled over two hundred... (More >)
Indigenous Peoples and Local Communities Are Using Satellite Data to Fight Deforestation
Article by Katie Reytar, Jessica Webb and Peter Veit: “Indigenous Peoples and local communities hold some of the most pristine and resource-rich lands in the world — areas highly coveted by mining and logging companies and other profiteers. Land grabs and other threats are especially severe in places where the government does not recognize communities’ land rights, or where anti-deforestation and other laws are weak or poorly enforced. It’s the reason many Indigenous Peoples and local communities often take land monitoring into their own hands — and some are now using digital tools to do it. Freely available satellite... (More >)
The public good of statistics – narratives from around the world
Blog by Ken Roy:” I have been looking at some of the narratives used by bodies producing Official Statistics – specifically those in a sample of recent strategies and business plans from different National Statistical Offices. Inevitably these documents focus on planned programmes of work – the key statistical outputs, the technical and methodological investments etc – and occasionally on interesting things like budgets. When these documents touch on the rationale for (or purpose of) Official Statistics, one approach is to present Official Statistics as a ‘right’ of citizens or as essential national infrastructure. For example Statistics Finland frame... (More >)
Innovation in Anticipation for Migration: A Deep Dive into Methods, Tools, and Data Sources
Blog by Sara Marcucci and Stefaan Verhulst: “In the ever-evolving landscape of anticipatory methods for migration policy, innovation is a dynamic force propelling the field forward. This seems to be happening in two main ways: first, as we mentioned in our previous blog, one of the significant shifts lies in the blurring of boundaries between quantitative forecasting and qualitative foresight, as emerging mixed-method approaches challenge traditional paradigms. This transformation opens up new pathways for understanding complex phenomena, particularly in the context of human migration flows. Second, the innovation happening today is not necessarily rooted in the development of entirely... (More >)
The AI regulations that aren’t being talked about
Article by Deloitte: “…But our research shows that this focus may be overlooking some of the most important tools already on the books. Of the 1,600+ policies we analyzed, only 11% were focused on regulating AI-adjacent issues like data privacy, cybersecurity, intellectual property, and so on (Figure 5). Even when limiting the search to only regulations, 60% were focused directly on AI and only 40% on AI-adjacent issues (Figure 5). For example, several countries have data protection agencies with regulatory powers to help protect citizens’ data privacy. But while these agencies may not have AI or machine learning named... (More >)
Cities are ramping up to make the most of generative AI
Blog by Citylab: “Generative artificial intelligence promises to transform the way we work, and city leaders are taking note. According to a recent survey by Bloomberg Philanthropies in partnership with the Centre for Public Impact, the vast majority of mayors (96 percent) are interested in how they can use generative AI tools like ChatGPT—which rely on machine learning to identify patterns in data and create, or generate, new content after being fed prompts—to improve local government. Of those cities surveyed, 69 percent report that they are already exploring or testing the technology. Specifically, they’re interested in how it can... (More >)
New Tools to Guide Data Sharing Agreements
Article by Andrew J. Zahuranec, Stefaan Verhulst, and Hannah Chafetz: “The process of forming a data-sharing agreement is not easy. The process involves figuring out incentives, evaluating the degree to which others are willing and able to collaborate, and defining the specific conduct that is and is not allowed. Even under the best of circumstances, these steps can be costly and time-consuming. Today, the Open Data Policy Lab took a step to help data practitioners control these costs. “Moving from Idea to Practice: Three Resources to Streamline the Creation of Data Sharing Agreements” provides data practitioners with three resources... (More >)
