Local Government: Artificial intelligence use cases


Repository by the (UK) Local Government Association: “Building on the findings of our recent AI survey, which highlighted the need for practical examples, this bank showcases the diverse ways local authorities are leveraging AI. 

Within this collection, you’ll discover a spectrum of AI adoption, ranging from utilising AI assistants to streamline back-office tasks to pioneering the implementation of bespoke Large Language Models (LLMs). These real-world use cases exemplify the innovative spirit driving advancements in local government service delivery. 

Whether your council is at the outset of its AI exploration or seeking to expand its existing capabilities, this bank offers a wealth of valuable insights and best practices to support your organisation’s AI journey…(More)”.

Developing a public-interest training commons of books


Article by Authors Alliance: “…is pleased to announce a new project, supported by the Mellon Foundation, to develop an actionable plan for a public-interest book training commons for artificial intelligence. Northeastern University Library will be supporting this project and helping to coordinate its progress.

Access to books will play an essential role in how artificial intelligence develops. AI’s Large Language Models (LLMs) have a voracious appetite for text, and there are good reasons to think that these data sets should include books and lots of them. Over the last 500 years, human authors have written over 129 million books. These volumes, preserved for future generations in some of our most treasured research libraries, are perhaps the best and most sophisticated reflection of all human thinking. Their high editorial quality, breadth, and diversity of content, as well as the unique way they employ long-form narratives to communicate sophisticated and nuanced arguments and ideas make them ideal training data sources for AI.

These collections and the text embedded in them should be made available under ethical and fair rules as the raw material that will enable the computationally intense analysis needed to inform new AI models, algorithms, and applications imagined by a wide range of organizations and individuals for the benefit of humanity…(More)”

Path to Public Innovation Playbook


Playbook by Bloomberg Center for Public Innovation: “…a practical, example-rich guide for city leaders at any stage of their innovation journey. Crucially, the playbook offers learnings from the past 10-plus years of government innovation that can help municipalities take existing efforts to the next level…

Innovation has always started with defining major challenges in cooperation with residents. But in recent years, cities have increasingly tried to go further by working to unite every local actor around transformational changes that will be felt for generations. What they’re finding is that by establishing a North Star for action—the playbook calls them Ambitious Impactful Missions (AIMs)—they’re achieving better outcomes. And the playbook shows them how to find that North Star.

“If you limit yourself to thinking about a single priority, that can lead to a focus on just the things right in front of you,” explains Amanda Daflos, executive director of the Bloomberg Center for Public Innovation and the former Chief Innovation Officer and director of the i-team in Los Angeles. In contrast, she says, a more ambitious, mission-style approach recognizes that “the whole city has to work on this.”

For instance, in Reykjavik, Iceland, local leaders are determined to improve outcomes for children. But rather than limiting the scope or scale of their efforts to one slice of that pursuit, they thought bigger, tapping a wide array of actors from the Department of Education to the Department of Welfare to pursue a vision called “A Better City for Children.” At its core, this effort is about delivering a massive array of new and improved services for kids and ensuring those services are not interrupted at any point in a young person’s life. Specific interventions range from at-home student counseling, to courses on improving communication within households, to strategy sessions for parents whose children have anxiety. 

More noteworthy than the individual solutions is that this ambitious effort has shown signs of activating the kind of broad coalition needed to make long-term change. In fact, the larger vision started under then-Mayor Dagur Eggertsson, has been maintained by his successor, Mayor Ein­ar Þor­steinsson, and has recently shown signs of expansion. The playbook provides mayors with a framework for developing their own blueprints for big change…(More)”.

Silencing Science Tracker


About: “The Silencing Science Tracker is a joint initiative of the Sabin Center for Climate Change Law and the Climate Science Legal Defense Fund. It is intended to record reports of federal, state, and local government attempts to “silence science” since the November 2016 election.

We define “silencing science” to include any action that has the effect of restricting or prohibiting scientific research, education, or discussion, or the publication or use of scientific information. We divide such actions into 7 categories as follows…(More)”

CategoryExamples
Government CensorshipChanging the content of websites and documents to suppress or distort scientific information.Making scientific data more difficult to find or access.Restricting public communication by scientists.
Self-CensorshipScientists voluntarily changing the content of websites and documents to suppress or distort scientific information, potentially in response to political pressure.
 We note that it is often difficult to determine whether self-censorship is occurring and/or its cause. We do not take any position on the accuracy of any individual report on self-censorship.
Budget CutsReducing funding for existing agency programs involving scientific research or scientific education.Cancelling existing grants for scientific research or scientific education.
 We do not include, in the “budget cuts” category, government decisions to refuse new grant applications or funding for new agency programs.
Personnel ChangesRemoving scientists from agency positions or creating a hostile work environment.Appointing unqualified individuals to, or failing to fill, scientific positions.Changing the composition of scientific advisory board or other bodies to remove qualified scientists or add only industry-favored members.Eliminating government bodies involved in scientific research or education or the dissemination of scientific information.
Research HindranceDestroying data needed to undertake scientific research.Preventing or restricting the publication of scientific research.Pressuring scientists to change research findings.
Bias and MisrepresentationEngaging in “cherry picking” or only disclosing certain scientific studies (e.g., that support a particular conclusion).Misrepresenting or mischaracterizing scientific studies.Disregarding scientific studies or advice in policy-making.
Interference with EducationChanging science education standards to prevent or limit the teaching of proven scientific theories.Requiring or encouraging the teaching of discredited or unproven scientific theories.Preventing the use of factually accurate textbooks and other instructional materials (e.g., on religious grounds).

Grant Guardian


About: “In the philanthropic sector, limited time and resources can make it challenging to thoroughly assess a nonprofit’s financial stability. Grant Guardian transforms weeks of financial analysis into hours of strategic insight–creating space for deep, meaningful engagement with partners while maintaining high grantmaking standards.

Introducing Grant Guardian

Grant Guardian is an AI-powered financial due diligence tool that streamlines the assessment process for both foundations and nonprofits. Foundations receive sophisticated financial health analyses and risk assessments, while nonprofits can simply submit their existing financial documents without the task of filling out multiple custom forms. This streamlined approach helps both parties focus on what matters most–their shared mission of creating impact.

How Does It Work?

Advanced AI Analyses: Grant Guardian harnesses the power of AI to analyze financial documents like 990s and audits, offering a comprehensive view of a nonprofit’s financial stability. With rapid data extraction and analysis based on modifiable criteria, Grant Guardian bolsters strategic funding with financial insights.

Customized Risk Reports: Grant Guardian’s risk reports and dashboards are customizable, allowing you to tailor metrics specifically to your organization’s funding priorities. This flexibility enables you to present clear, relevant data to stakeholders while maintaining a transparent audit trail for compliance.

Automated Data Extraction: As an enterprise-grade solution, Grant Guardian automates the extraction and analysis of data from financial reports, identifies potential risks, standardizes assessments, and minimizes user error from bias. This standardization is crucial, as nonprofits often vary in the financial documents they provide, making the due diligence process more complex and error-prone for funders…(More)”.

Strategic Foresight Toolkit for Resilient Public Policy


OECD Toolkit: “By exploring 25 evidence-based potential disruptions across environmental, technological, economic, social, and geopolitical domains, the Strategic Foresight Toolkit for Resilient Public Policy helps anticipate challenges and opportunities that could reshape the policy landscape between 2030 and 2050. These disruptions are not predictions, but hypothetical future developments identified through extensive research, expert consultations, and workshops. The Strategic Foresight Toolkit features a five-step foresight process, guiding users to challenge assumptions, create scenarios, stress-test strategies, and develop actionable plans. It includes facilitation guides and case studies to support effective implementation. Each disruption is accompanied by insights on emerging trends, potential future impacts, and both immediate and long-term policy options to ensure resilience and preparedness. Designed for policymakers, public administrators, and foresight practitioners, this publication is designed to promote holistic, strategic and evidence-informed decision-making. It aims to support countries and organisations in using strategic foresight to design and prepare robust and adaptable public policies for a range of possible futures. With its practical methodology and forward-looking approach, the Strategic Foresight Toolkit is a vital resource for building sustainable, resilient, and effective public policies…(More)”

Suspense and surprise in the book of technology: Understanding innovation dynamics


Paper by Oh-Hyun Kwon, Jisung Yoon, Lav R. Varshney, Woo-Sung Jung, Hyejin Youn: “We envision future technologies through science fiction, strategic planning, or academic research. Yet, our expectations do not always match with what actually unfolds, much like navigating a story where some events align with expectations while others surprise us. This gap indicates the inherent uncertainty of innovation-how technologies emerge and evolve in unpredictable ways. Here, we elaborate on this inherent uncertainty of innovation in the way technologies emerge and evolve. We define suspense captures accumulated uncertainty and describing events anticipated before their realization, while surprise represents a dramatic shift in understanding when an event occurs unexpectedly. We identify those connections in U.S. patents and show that suspenseful innovations tend to integrate more smoothly into society, achieving higher citations and market value. In contrast, surprising innovations, though often disruptive and groundbreaking, face challenges in adoption due to their extreme novelty. We further show that these categories allow us to identify distinct stages of technology life cycles, suggesting a way to identify the systematic trajectory of technologies and anticipate their future paths…(More)”.

Developing a Framework for Collective Data Rights


Report by Jeni Tennison: “Are collective data rights really necessary? Or, do people and communities already have sufficient rights to address harms through equality, public administration or consumer law? Might collective data rights even be harmful by undermining individual data rights or creating unjust collectivities? If we did have collective data rights, what should they look like? And how could they be introduced into legislation?

Data protection law and policy are founded on the notion of individual notice and consent, originating from the handling of personal data gathered for medical and scientific research. However, recent work on data governance has highlighted shortcomings with the notice-and-consent approach, especially in an age of big data and artificial intelligence. This special reports considers the need for collective data rights by examining legal remedies currently available in the United Kingdom in three scenarios where the people affected by algorithmic decision making are not data subjects and therefore do not have individual data protection rights…(More)”.

Un-Plateauing Corruption Research?Perhaps less necessary, but more exciting than one might think


Article by Dieter Zinnbauer: “There is a sense in the anti-corruption research community that we may have reached some plateau (or less politely, hit a wall). This article argues – at least partly – against this claim.

We may have reached a plateau with regard to some recurring (staid?) scholarly and policy debates that resurface with eerie regularity, tend to suck all oxygen out of the room, yet remain essentially unsettled and irresolvable. Questions aimed at arriving closure on what constitutes corruption, passing authoritative judgements  on what works and what does not and rather grand pronouncements on whether progress has or has not been all fall into this category.

 At the same time, there is exciting work often in unexpected places outside the inner ward of the anti-corruption castle,  contributing new approaches and fresh-ish insights and there are promising leads for exciting research on the horizon. Such areas include the underappreciated idiosyncrasies of corruption in the form of inaction rather than action, the use of satellites and remote sensing techniques to better understand and measure corruption, the overlooked role of short-sellers in tackling complex forms of corporate corruption and the growing phenomena of integrity capture, the anti-corruption apparatus co-opted for sinister, corrupt purposes.

These are just four examples of the colourful opportunity tapestry for (anti)corruption research moving forward, not in form of a great unified project and overarching new idea  but as little stabs of potentiality here and  there and somewhere else surprisingly unbeknownst…(More)”

Reimagining data for Open Source AI: A call to action


Report by Open Source Initiative: “Artificial intelligence (AI) is changing the world at a remarkable pace, with Open Source AI playing a pivotal role in shaping its trajectory. Yet, as AI advances, a fundamental challenge emerges: How do we create a data ecosystem that is not only robust but also equitable and sustainable?

The Open Source Initiative (OSI) and Open Future have taken a significant step toward addressing this challenge by releasing a white paper: “Data Governance in Open Source AI: Enabling Responsible and Systematic Access.” This document is the culmination of a global co-design process, enriched by insights from a vibrant two-day workshop held in Paris in October 2024….

The white paper offers a blueprint for a data ecosystem rooted in fairness, inclusivity and sustainability. It calls for two transformative shifts:

  1. From Open Data to Data Commons: Moving beyond the notion of unrestricted data to a model that balances openness with the rights and needs of all stakeholders.
  2. Broadening the stakeholder universe: Creating collaborative frameworks that unite communities, stewards and creators in equitable data-sharing practices.

To bring these shifts to life, the white paper delves into six critical focus areas:

  • Data preparation
  • Preference signaling and licensing
  • Data stewards and custodians
  • Environmental sustainability
  • Reciprocity and compensation
  • Policy interventions…(More)”