The Recommendation on Information Integrity


OECD Recommendation: “…The digital transformation of societies has reshaped how people interact and engage with information. Advancements in digital technologies and novel forms of communication have changed the way information is produced, shared, and consumed, locally and globally and across all media. Technological changes and the critical importance of online information platforms offer unprecedented access to information, foster citizen engagement and connection, and allow for innovative news reporting. However, they can also provide a fertile ground for the rapid spread of false, altered, or misleading content. In addition, new generative AI tools have greatly reduced the barriers to creating and spreading content.

Promoting the availability and free flow of high-quality, evidence-based information is key to upholding individuals’ ability to seek and receive information and ideas of all kinds and to safeguarding freedom of opinion and expression. 

The volume of content to which citizens are exposed can obscure and saturate public debates and help widen societal divisions. In this context, the quality of civic discourse declines as evidence-based information, which helps people make sense of their social environment, becomes harder to find. This reality has acted as a catalyst for governments to explore more closely the roles they can play, keeping as a priority in our democracies the necessity that governments should not exercise control of the information ecosystem and that, on the contrary, they support an environment where a plurality of information sources, views, and opinions can thrive…Building on the detailed policy framework outlined in the OECD report Facts not Fakes: Tackling Disinformation, Strengthening Information Integrity, the Recommendation provides an ambitious and actionable international standard that will help governments develop a systemic approach to foster information integrity, relying on a multi-stakeholder approach…(More)”.

Must NLP be Extractive?


Paper by Steven Bird: “How do we roll out language technologies across a world with 7,000 languages? In one story, we scale the successes of NLP further into ‘low-resource’ languages, doing ever more with less. However, this approach does not recognise the fact that – beyond the 500 institutional languages – the remaining languages are oral vernaculars. These speech communities interact with the outside world using a ‘con-
tact language’. I argue that contact languages are the appropriate target for technologies like speech recognition and machine translation, and that the 6,500 oral vernaculars should be approached differently. I share stories from an Indigenous community where local people reshaped an extractive agenda to align with their relational agenda. I describe the emerging paradigm of Relational NLP and explain how it opens the way to non-extractive methods and to solutions that enhance human agency…(More)”

Navigating the AI Frontier: A Primer on the Evolution and Impact of AI Agents


Report by the World Economic Forum: “AI agents are autonomous systems capable of sensing, learning and acting upon their environments. This white paper explores their development and looks at how they are linked to recent advances in large language and multimodal models. It highlights how AI agents can enhance efficiency across sectors including healthcare, education and finance.

Tracing their evolution from simple rule-based programmes to sophisticated entities with complex decision-making abilities, the paper discusses both the benefits and the risks associated with AI agents. Ethical considerations such as transparency and accountability are emphasized, highlighting the need for robust governance frameworks and cross-sector collaboration.

By understanding the opportunities and challenges that AI agents present, stakeholders can responsibly leverage these systems to drive innovation, improve practices and enhance quality of life. This primer serves as a valuable resource for anyone seeking to gain a better grasp of this rapidly advancing field…(More)”.

The Limitations of Consent as a Legal Basis for Data Processing in the Digital Society


Paper by the Centre for Information Policy Leadership: “Contemporary everyday life is increasingly permeated by digital information, whether by creating, consuming or depending on it. Most of our professional and private lives now rely to a large degree on digital interactions. As a result, access to and the use of data, and in particular personal data, are key elements and drivers of the digital economy and society. This has brought us to a significant inflection point on the issue of legitimising the processing of personal data in the wide range of contexts that are essential to our data-driven, AI-enabled digital products and services. The time has come to seriously re-consider the status of consent as a privileged legal basis and to consider alternatives that are better suited for a wide range of essential data processing contexts. The most prominent among these alternatives are the “legitimate interest” and “contractual necessity” legal bases, which have found an equivalent in a number of jurisdictions. One example is Singapore, where revisions to their data protection framework include a legitimate interest exemption…(More)”.

Humanitarian Mapping with WhatsApp: Introducing ChatMap


Article by Emilio Mariscal: “…After some exploration, I came up with an idea: what if we could export chat conversations and extract the location data along with the associated messages? The solution would involve a straightforward application where users can upload their exported chats and instantly generate a map displaying all shared locations and messages. No business accounts or complex integrations would be required—just a simple, ready-to-use tool from day one.

ChatMap —chatmap.hotosm.org — is a straightforward and simple mapping solution that leverages WhatsApp, an application used by 2.78 billion people worldwide. Its simplicity and accessibility make it an effective tool for communities with limited technical knowledge. And it even works offline! as it relies on the GPS signal for location, sending all data with the phone to gather connectivity.

This solution provides complete independence, as it does not require users to adopt a technology that depends on third-party maintenance. It’s a simple data flow with an equally straightforward script that can be improved by anyone interested on GitHub.

We’re already using it! Recently, as part of a community mapping project to assess the risks in the slopes of Comuna 8 in Medellín, an area vulnerable to repeated flooding, a group of students and local collectives collaborated with the Humanitarian OpenStreetMap (HOT) to map areas affected by landslides and other disaster impacts. This initiative facilitated the identification and characterization of settlements, supporting humanitarian aid efforts.

Humanitarian Mapping ChatMap.jpg
Photo by Daniela Arbeláez Suárez (source: WhatsApp)

As shown in the picture, the community explored the area on foot, using their phones to take photos and notes, and shared them along with the location. It was incredibly simple!

The data gathered during this activity was transformed 20 minutes later (once getting access to a WIFI network) into a map, which was then uploaded to our online platform powered by uMap (umap.hotosm.org)…(More)”.

Humanitarian Mapping ChatMap WhatsApp Colombia.jpg
See more at https://umap.hotosm.org/en/map/unaula-mapea-con-whatsapp_38

Innovating with Non-Traditional Data: Recent Use Cases for Unlocking Public Value


Article by Stefaan Verhulst and Adam Zable: “Non-Traditional Data (NTD): “data that is digitally captured (e.g. mobile phone records), mediated (e.g. social media), or observed (e.g. satellite imagery), using new instrumentation mechanisms, often privately held.”

Digitalization and the resulting datafication have introduced a new category of data that, when re-used responsibly, can complement traditional data in addressing public interest questions—from public health to environmental conservation. Unlocking these often privately held datasets through data collaboratives is a key focus of what we have called The Third Wave of Open Data

To help bridge this gap, we have curated below recent examples of the use of NTD for research and decision-making that were published the past few months. They are organized into five categories:

  • Health and Well-being;
  • Humanitarian Aid;
  • Environment and Climate;
  • Urban Systems and Mobility, and 
  • Economic and Labor Dynamics…(More)”.

Space, Satellites, and Democracy: Implications of the New Space Age for Democratic Processes and Recommendations for Action


NDI Report: “The dawn of a new space age is upon us, marked by unprecedented engagement from both state and private actors. Driven by technological innovations such as reusable rockets and miniaturized satellites, this era presents a double-edged sword for global democracy. On one side, democratized access to space offers powerful tools for enhancing civic processes. Satellite technology now enables real-time election monitoring, improved communication in remote areas, and more effective public infrastructure planning. It also equips democratic actors with means to document human rights abuses and circumvent authoritarian internet restrictions.

However, the accessibility of these technologies also raises significant concerns. The potential for privacy infringements and misuse by authoritarian regimes or malicious actors casts a shadow over these advancements.

This report discusses the opportunities and risks that space and satellite technologies pose to democracy, human rights, and civic processes globally. It examines the current regulatory and normative frameworks governing space activities and highlights key considerations for stakeholders navigating this increasingly competitive domain.

It is essential that the global democracy community be familiar with emerging trends in space and satellite technology and their implications for the future. Failure to do so will leave the community unprepared to harness the opportunities or address the challenges that space capabilities present. It would also cede influence over the development of global norms and standards in this arena to states and private sector interests alone and, in turn, ensure those standards are not rooted in democratic norms and human rights, but rather in principles such as state sovereignty and profit maximization…(More)”.

Towards Civic Digital Twins: Co-Design the Citizen-Centric Future of Bologna


Paper by Massimiliano Luca et al: “We introduce Civic Digital Twin (CDT), an evolution of Urban Digital Twins designed to support a citizen-centric transformative approach to urban planning and governance. CDT is being developed in the scope of the Bologna Digital Twin initiative, launched one year ago by the city of Bologna, to fulfill the city’s political and strategic goal of adopting innovative digital tools to support decision-making and civic engagement. The CDT, in addition to its capability of sensing the city through spatial, temporal, and social data, must be able to model and simulate social dynamics in a city: the behavior, attitude, and preference of citizens and collectives and how they impact city life and transform transformation processes. Another distinctive feature of CDT is that it must be able to engage citizens (individuals, collectives, and organized civil society) and other civic stakeholders (utilities, economic actors, third sector) interested in co-designing the future of the city. In this paper, we discuss the motivations that led to the definition of the CDT, define its modeling aspects and key research challenges, and illustrate its intended use with two use cases in urban mobility and urban development…(More)”.

Synthetic content and its implications for AI policy: a primer


UNESCO Paper: “The deployment of advanced Artificial Intelligence (AI) models, particularly generative AI, has sparked discussions regarding the creation and use of synthetic content – i.e. AI-generated or modified outputs, including text, images, sounds, and combinations thereof – and its impact on individuals, societies, and economies. This note explores the different ways in which synthetic content can be generated and used and proposes a taxonomy that encompasses synthetic media and deepfakes, among others. The taxonomy aims to systematize key characteristics, enhancing understanding and informing policy discussions. Key findings highlight both the potential benefits and concerns associated with synthetic content in fields like data analytics, environmental sustainability, education, creativity, and mis/disinformation and point to the need to frame them ethically, in line with the principles and values of UNESCO Recommendation on the Ethics of Artificial Intelligence. Finally, the note brings to the fore critical questions that policymakers and experts alike need to address to ensure that the development of AI technologies aligns with human rights, human dignity, and fundamental freedoms…(More)”.

Social licence for health data


Evidence Brief by NSW Government: “Social licence, otherwise referred to as social licence to operate, refers to an approval or consensus from the society members or the community for the users, either as a public or private enterprise or individual, to use their health data as desired or accepted under certain conditions. Social licence is a dynamic and fluid concept and is subject to change over time often influenced by societal and contextual factors.
The social licence is usually indicated through ongoing engagement and negotiations with the public and is not a contract with strict terms and conditions. It is, rather, a moral and ethical responsibility assumed by the data users based on trust and legitimacy, It supplements the techno-legal mechanisms to regulate the use of data.
For example, through public engagement, certain values and principles can emerge as pertinent to public support for using their data. Similarly, the public may view certain activities relating to their data use as acceptable and beneficial, implying their permission for certain activities or usecase scenarios. Internationally, although not always explicitly referred to as a social licence, the most common approach to establishing public trust and support and identifying common grounds or agreements on acceptable practices for use of data is through public engagement. Engagement methods and mechanisms for gaining public perspectives vary across countries (Table 1).
− Canada – Health Data Research Network Canada reports on social licence for uses of health data, based on deliberative discussions with 20 experienced public and patient advisors. The output is a list of agreements and disagreements on what uses and users of health data have social licence.
− New Zealand – In 2022, the Ministry of Health commissioned a survey on public perceptions on use of personal health information. This report identified conditions under which the public supports the re-use of their data…(More)”.