The Case for Better Governance of Children’s Data: A Manifesto

Curated on Posted on by Stefaan Verhulst
The Case for Better Governance of Children’s Data: A Manifesto

Report by Jasmina Byrne, Emma Day and Linda Raftree: “Every child is different, with unique identities and their capacities and circumstances evolve over their lifecycle. Children are more vulnerable than adults and are less able to understand the long-term implications of consenting to their data collection. For these reasons, children’s data deserve to be treated differently.

While responsible data use can underpin many benefits for children, ensuring that children are protected, empowered and granted control of their data is still a challenge.

To maximise the benefits of data use for children and to protect them from harm requires a new model of data governance that is fitting for the 21st century.

UNICEF has worked with 17 global experts to develop a Manifesto that articulates a vision for a better approach to children’s data.

This Manifesto includes key action points and a call for a governance model purposefully designed to deliver on the needs and rights of children. It is the first step in ensuring that children’s rights are given due weight in data governance legal frameworks and processes as they evolve around the world….(More)”

Diverse Sources Database

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About: “The Diverse Sources Database is NPR’s resource for journalists who believe in the value of diversity and share our goal to make public radio look and sound like America.

Originally called Source of the Week, the database launched in 2013 as a way help journalists at NPR and member stations expand the racial/ethnic diversity of the experts they tap for stories…(More)”.

Lobbying in the 21st Century: Transparency, Integrity and Access

Curated on Posted on by Stefaan Verhulst

OECD Report: “Lobbying, as a way to influence and inform governments, has been part of democracy for at least two centuries, and remains a legitimate tool for influencing public policies. However, it carries risks of undue influence. Lobbying in the 21st century has also become increasingly complex, including new tools for influencing government, such as social media, and a wide range of actors, such as NGOs, think tanks and foreign governments. This report takes stock of the progress that countries have made in implementing the OECD Principles for Transparency and Integrity in Lobbying. It reflects on new challenges and risks related to the many ways special interest groups attempt to influence public policies, and reviews tools adopted by governments to effectively safeguard impartiality and fairness in the public decision-making process….(More)”.

Do You See What I See? Capabilities and Limits of Automated Multimedia Content Analysis

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A CDT Research report, entitled "Do You See What I See? Capabilities and Limits of Automated Multimedia Content Analysis".
CDT Research report, entitled “Do You See What I See? Capabilities and Limits of Automated Multimedia Content Analysis”.

Report by Dhanaraj Thakur and  Emma Llansó: “The ever-increasing amount of user-generated content online has led, in recent years, to an expansion in research and investment in automated content analysis tools. Scrutiny of automated content analysis has accelerated during the COVID-19 pandemic, as social networking services have placed a greater reliance on these tools due to concerns about health risks to their moderation staff from in-person work. At the same time, there are important policy debates around the world about how to improve content moderation while protecting free expression and privacy. In order to advance these debates, we need to understand the potential role of automated content analysis tools.

This paper explains the capabilities and limitations of tools for analyzing online multimedia content and highlights the potential risks of using these tools at scale without accounting for their limitations. It focuses on two main categories of tools: matching models and computer prediction models. Matching models include cryptographic and perceptual hashing, which compare user-generated content with existing and known content. Predictive models (including computer vision and computer audition) are machine learning techniques that aim to identify characteristics of new or previously unknown content….(More)”.

Open data for improved land governance

Curated on Posted on by Stefaan Verhulst

Guide by the Land Portal: “This Open Up Guide on Land Governance is a resource  aimed to be used by governments from developing countries to collect and release land-related data to improve data quality, availability, accessibility and use for improved citizen engagement, decision making and innovation. It sets out:

  1. Key datasets for land management accountability, and how they should be collected, stored, shared and published for improving land governance and transparency;
  2. Good data policies and frameworks, including metadata, standards and governance frameworks if available;
  3. Existing gaps or challenges in the policies and frameworks; and
  4. Use cases from real-life examples to illustrate the potential impact and transformation this type of data can provide in local contexts.

The Open Up Guide has been prepared for use by national and local government agencies with a mandate for or an interest in making their land governance data open and available for others to re-use. Land governance data generally comprises the data and information that agencies collect as they carry out their core land administration functions of land tenure, use, development and value. Some countries already collect and manage their land governance data in open and re-usable formats. Others may be seeking advice on how to start, how to expand their activities or how to test what they do against best practice.

Open land governance data, published in accordance with a government’s law and regulations, provides efficient and transparent government services and enables individuals, communities and businesses to run their lives ethically and with integrity.

The Guide is also intended to assist communities monitoring whether environmental protections are being upheld, and to support rights claims over geographical areas inhabited for generations; and for civil society organisations that can make use of land governance data to understand patterns of land deals, support environmental and social advocacy, and investigate and address corruption….(More)”.

Practical Lessons for Government AI Projects

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Paper by Godofredo Jr Ramizo: “Governments around the world are launching projects that embed artificial intelligence (AI) in the delivery of public services. How can government officials navigate the complexities of AI projects and deliver successful outcomes? Using a review of the existing literature and interviews with senior government officials from Hong Kong, Malaysia, and Singapore who have worked on Smart City and similar AI-driven projects, this paper demonstrates the diversity of government AI projects and identifies practical lessons that help safeguard public interest. I make two contributions. First, I show that we can classify government AI projects based on their level of importance to government functions and the level of organisational resources available to them. These two dimensions result in four types of AI projects, each with its own risks and appropriate strategies. Second, I propose five general lessons for government AI projects in any field, and outline specific measures appropriate to each of the aforementioned types of AI projects….(More)”.

Enabling Trusted Data Collaboration in Society

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Launch of Public Beta of the Data Responsibility Journey Mapping Tool: “Data Collaboratives, the purpose-driven reuse of data in the public interest, have demonstrated their ability to unlock the societal value of siloed data and create real-world impacts. Data collaboration has been key in generating new insights and action in areas like public health, education, crisis response, and economic development, to name a few. Designing and deploying a data collaborative, however, is a complex undertaking, subject to risks of misuse of data as well as missed use of data that could have provided public value if used effectively and responsibly.

Today, The GovLab is launching the public beta of a new tool intended to help Data Stewards — responsible data leaders across sectors — and other decision-makers assess and mitigate risks across the life cycle of a data collaborative. The Data Responsibility Journey is an assessment tool for Data Stewards to identify and mitigate risks, establish trust, and maximize the value of their work. Informed by The GovLab’s long standing research and practice in the field, and myriad consultations with data responsibility experts across regions and contexts, the tool aims to support decision-making in public agencies, civil society organizations, large businesses, small businesses, and humanitarian and development organizations, in particular.

The Data Responsibility Journey guides users through important questions and considerations across the lifecycle of data stewardship and collaboration: Planning, Collecting, Processing, Sharing, Analyzing, and Using. For each stage, users are asked to consider whether important data responsibility issues have been taken into account as part of their implementation strategy. When users flag an issue as in need of more attention, it is automatically added to a customized data responsibility strategy report providing actionable recommendations, relevant tools and resources, and key internal and external stakeholders that could be engaged to help operationalize these data responsibility actions…(More)”.

A review of the evidence on developing and supporting policy and practice networks

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Report by Ilona Haslewood: “In recent years, the Carnegie UK Trust has been involved in coordinating, supporting, and participating in a range of different kinds of networks. There are many reasons that people choose to develop networks as an approach to achieving a goal. We were interested in building our understanding of the evidence on the effectiveness of networks as a vehicle for policy and practice change.

In Autumn 2020, we began working with Ilona Haslewood to explore how to define a network, when it is appropriate to use this approach to achieve a particular goal, and what is the role of charitable foundations in supporting the development of networks. These questions, and more, are examined in A review of the evidence on developing and supporting policy and practice networks, which was written by Ilona Haslewood. This review of evidence forms part of a broader exploration of the role of networks, which includes a case study summary of A Better Way….(More)”

A growing problem of ‘deepfake geography’: How AI falsifies satellite images

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Kim Eckart at UW News: “A fire in Central Park seems to appear as a smoke plume and a line of flames in a satellite image. Colorful lights on Diwali night in India, seen from space, seem to show widespread fireworks activity.

Both images exemplify what a new University of Washington-led study calls “location spoofing.” The photos — created by different people, for different purposes — are fake but look like genuine images of real places. And with the more sophisticated AI technologies available today, researchers warn that such “deepfake geography” could become a growing problem.

So, using satellite photos of three cities and drawing upon methods used to manipulate video and audio files, a team of researchers set out to identify new ways of detecting fake satellite photos, warn of the dangers of falsified geospatial data and call for a system of geographic fact-checking.

“This isn’t just Photoshopping things. It’s making data look uncannily realistic,” said Bo Zhao, assistant professor of geography at the UW and lead author of the study, which published April 21 in the journal Cartography and Geographic Information Science. “The techniques are already there. We’re just trying to expose the possibility of using the same techniques, and of the need to develop a coping strategy for it.”

As Zhao and his co-authors point out, fake locations and other inaccuracies have been part of mapmaking since ancient times. That’s due in part to the very nature of translating real-life locations to map form, as no map can capture a place exactly as it is. But some inaccuracies in maps are spoofs created by the mapmakers. The term “paper towns” describes discreetly placed fake cities, mountains, rivers or other features on a map to prevent copyright infringement. On the more lighthearted end of the spectrum, an official Michigan Department of Transportation highway map in the 1970s included the fictional cities of “Beatosu and “Goblu,” a play on “Beat OSU” and “Go Blue,” because the then-head of the department wanted to give a shoutout to his alma mater while protecting the copyright of the map….(More)”.

How to make good group decisions

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Report by Nesta: “The report has five sections that cover different dimensions of group decisions: group composition, group dynamics, the decision making process, the decision rule and uncertainty….Key takeaways:

  1. Diversity is the most important factor for a group’s collective intelligence. Both identity and functional (e.g. different skills and experience levels) diversity are necessary for better problem solving and decision making.
  2. Increasing the size of the decision making group can help to increase diversity, skills and creativity. Organisations could be much better at leveraging the wisdom of the crowd for certain tasks such as idea generation, prioritisation of options (especially eliminating bad options), and accurate forecasts.
  3. A quick win for decision makers is to focus on developing cross-cutting skills within teams. Important skills to train in your teams include probabilistic reasoning to improve risk analysis, cognitive flexibility to make full use of available information and perspective taking to correct for assumptions..
  4. It’s not always efficient for groups to push themselves to find the optimal solution or group consensus, and in many cases they don’t need to. ‘Satisficing’ helps to maintain quality under pressure by agreeing in advance what is ‘good enough’.
  5. Introducing intermittent breaks where group members work independently is known to improve problem solving for complex tasks. The best performing teams tend to have periods of intense communication with little or no interaction in between.
  6. When the external world is unstable, like during a financial crisis or political elections, traditional sources of expertise often fail due to overconfidence. This is when novel data and insights gathered through crowdsourcing or collective intelligence methods that capture frontline experience are most important….(More)”.