Data sharing during coronavirus: lessons for government


Report by Gavin Freeguard and Paul Shepley: “This report synthesises the lessons from six case studies and other research on government data sharing during the pandemic. It finds that current legislation, such as the Digital Economy Act and UK General Data Protection Regulation (GDPR), does not constitute a barrier to data sharing and that while technical barriers – incompatible IT systems, for example – can slow data sharing, they do not prevent it. 

Instead, the pandemic forced changes to standard working practice that enabled new data sharing agreements to be created quickly. This report focuses on what these changes were and how they can lead to improvements in future practice.

The report recommends: 

  • The government should retain data protection officers and data protection impact assessments within the Data Protection and Digital Information Bill, and consider strengthening provisions around citizen engagement and how to ensure data flows during emergency response.
  • The Department for Levelling Up, Housing and Communities should consult on how to improve working around data between central and local government in England. This should include the role of the proposed Office for Local Government, data skills and capabilities at the local level, reform of the Single Data List and the creation of a data brokering function to facilitate two-way data sharing between national and local government.
  • The Central Digital and Data Office (CDDO) should create a data sharing ‘playbook’ to support public servants building new services founded on data. The playbook should contain templates for standard documents, links to relevant legislation and codes of practice (like those from the Information Commissioner’s Office), guidance on public engagement and case studies covering who to engage and when whilst setting up a new service.
  • The Centre for Data Ethics and Innovation, working with CDDO, should take the lead on guidance and resources on how to engage the public at every stage of data sharing…(More)”.

The Future of Human Agency


Report by Pew Research: “Advances in the internet, artificial intelligence (AI) and online applications have allowed humans to vastly expand their capabilities and increase their capacity to tackle complex problems. These advances have given people the ability to instantly access and share knowledge and amplified their personal and collective power to understand and shape their surroundings. Today there is general agreement that smart machines, bots and systems powered mostly by machine learning and artificial intelligence will quickly increase in speed and sophistication between now and 2035.

As individuals more deeply embrace these technologies to augment, improve and streamline their lives, they are continuously invited to outsource more decision-making and personal autonomy to digital tools.

Some analysts have concerns about how business, government and social systems are becoming more automated. They fear humans are losing the ability to exercise judgment and make decisions independent of these systems.

Others optimistically assert that throughout history humans have generally benefited from technological advances. They say that when problems arise, new regulations, norms and literacies help ameliorate the technology’s shortcomings. And they believe these harnessing forces will take hold, even as automated digital systems become more deeply woven into daily life.

Thus the question: What is the future of human agency? Pew Research Center and Elon University’s Imagining the Internet Center asked experts to share their insights on this; 540 technology innovators, developers, business and policy leaders, researchers, academics and activists responded. Specifically, they were asked:

By 2035, will smart machines, bots and systems powered by artificial intelligence be designed to allow humans to easily be in control of most tech-aided decision-making that is relevant to their lives?

The results of this nonscientific canvassing:

  • 56% of these experts agreed with the statement that by 2035 smart machines, bots and systems will not be designed to allow humans to easily be in control of most tech-aided decision-making.
  • 44% said they agreed with the statement that by 2035 smart machines, bots and systems will be designed to allow humans to easily be in control of most tech-aided decision-making.

It should be noted that in explaining their answers, many of these experts said the future of these technologies will have both positive and negative consequences for human agency. They also noted that through the ages, people have either allowed other entities to make decisions for them or have been forced to do so by tribal and national authorities, religious leaders, government bureaucrats, experts and even technology tools themselves…(More)”.

850 million people globally don’t have ID—why this matters and what we can do about it


Blog by Julia Clark, Anna Diofasi, and Claire Casher: “Having proof of legal identity or other officially recognized identification (ID) matters for equitable, sustainable development. It is a basic right and often provides the key to access services and opportunities, whether that is getting a job, opening a bank account, or receiving social assistance payments. The growth of digital services has further increased the need for secure and convenient ways to verify a person’s identity online and remotely.

Yet according to new estimates, some 850 million people globally do not have an official ID (let alone a digital one). 

The World Bank’s Identification for Development (ID4D) Initiative works to tackle the lack of access to identification challenge in multiple ways, starting with counting the uncounted. 

ID4D has produced estimates of global ID coverage since 2016 as part of its Global Dataset. Extensively updated in 2021-2022, the estimate now includes brand new data sources that paint the clearest picture yet of global ID ownership. 

ID4D partnered with the Global Findex survey to obtain representative survey data on adult ID ownership and usage. With this new individual-level data, as well as a significantly expanded set of administrative data provided by ID authorities, estimates released at the end of 2022 indicate that just under 850 million people around the world do not have an official ID (the full methodology is described in the ID4D Global Coverage Estimate report)…(More)”.

AI-Ready Open Data


Explainer by Sean Long and Tom Romanoff: “Artificial intelligence and machine learning (AI/ML) have the potential to create applications that tackle societal challenges from human health to climate change. These applications, however, require data to power AI model development and implementation. Government’s vast amount of open data can fill this gap: McKinsey estimates that open data can help unlock $3 trillion to $5 trillion in economic value annually across seven sectors. But for open data to fuel innovations in academia and the private sector, the data must be both easy to find and use. While Data.gov makes it simpler to find the federal government’s open data, researchers still spend up to 80% of their time preparing data into a usable, AI-ready format. As Intel warns, “You’re not AI-ready until your data is.”

In this explainer, the Bipartisan Policy Center provides an overview of existing efforts across the federal government to improve the AI readiness of its open data. We answer the following questions:

  • What is AI-ready data?
  • Why is AI-ready data important to the federal government’s AI agenda?
  • Where is AI-ready data being applied across federal agencies?
  • How could AI-ready data become the federal standard?…(More)”.

Mapping Civic Measurement


Report by the Institute for Citizens & Scholars: “…a comprehensive civic measurement landscape review and a first-of-its-kind framework for mapping civic readiness and opportunities.  

The report features a collection of measurement tools, rubrics, and more than 200 resources in use by practitioners across education, business, philanthropy, community institutions, media, government, and civil society. You’ll come away from the report with new ways to think about measuring civic learning impact, new research to inform your work, and new opportunities to connect with other practitioners. 

Now is the time to come together to cultivate people as informed, engaged, and hopeful citizens. Creating a common knowledge base and practices to measure civic readiness and opportunities will enable us to chart the course to a healthy and robust democracy that works for all…(More)”

Effects of digitalization on the human centricity of social security administration and services


ILO Working paper 87: “Human-centered social security administrations keep the human dimension in control of decision-making. This is made possible through the insight to be gained from digital data-driven innovation in policy and governance and managerial reforms. Moreover, there are risks associated with collecting and analysing people’s digital data analysed and using it to further automate business processes. Human centricity is examined in this paper, through a human + machine approach, starting with social policy through to service delivery. Machines using AI and related technologies are designed to aug¬ment rather than replace human decision-making capability. This augmentation approach is essential in matters where discretion, compassion, reasoning, judgement, and empathy are essential for equity, fair¬ness, and fiscal responsibility within social security administration. This working paper presents a series of vignette style case studies (13) as examples of digitisation and/or digitalisation in the context of human centricity in social security administration…(More)”.

ESG data governance: A growing imperative for banks


Article and Report by Daniel Heller, Andreas Reiter, Sebastian Schöbl, and Henning Soller: “The banking industry is facing mounting pressure to meet fast-changing demands in environmental, social, and governance (ESG) issues. New and evolving regulations call for greater transparency and disclosure of ESG-related data (see sidebar, “ESG regulatory and disclosure requirements”). Stakeholders and investors are increasing their scrutiny of the effects investment decisions have on the climate and society. Consumers are holding banks to higher ESG standards as well—in 2019, about 14 percent of total client-driven revenues were controlled by consumers whose banking preferences were influenced by concern about purpose and sustainability.

To meet these expectations, banks must adapt their IT systems to systematically collect, aggregate, and report on a broad range of ESG data. However, many financial institutions still do not have a comprehensive approach to integrating ESG data into their existing risk reporting.

Moving toward this goal will require significant changes to the IT infrastructure, from applications to data integration, architecture, and governance. New applications include not only the management and capture of ESG data but also financed emissions models, climate risk models, ESG scorecards, climate stress tests, and climate-adjusted ratings. ESG data must be woven into existing processes, such as credit approvals and decision making. And banks will need to adjust their data architecture, define a data collection strategy, and reorganize their data governance model to successfully manage and report ESG data.

Investing in the right priorities from the beginning will enable banking IT leaders to quickly build these new capabilities and solutions without accumulating technical debt…(More)”

Data and the Digital Self


Report by the ACS: “A series of essays by some of the leading minds on data sharing and privacy in Australia, this book takes a look at some of the critical data-related issues facing Australia today and tomorrow. It looks at digital identity and privacy in the 21st century; at privacy laws and what they need to look like to be effective in the era of big data; at how businesses and governments can work better to build trust in this new era; and at how we need to look beyond just privacy and personal information as we develop solutions over the coming decades…(More)”.

“How Dare They Peep into My Private Life”


Report by Human Rights Watch on “Children’s Rights Violations by Governments that Endorsed Online Learning During the Covid-19 Pandemic”: “The coronavirus pandemic upended the lives and learning of children around the world. Most countries pivoted to some form of online learning, replacing physical classrooms with EdTech websites and apps; this helped fill urgent gaps in delivering some form of education to many children.

But in their rush to connect children to virtual classrooms, few governments checked whether the EdTech they were rapidly endorsing or procuring for schools were safe for children. As a result, children whose families were able to afford access to the internet and connected devices, or who made hard sacrifices in order to do so, were exposed to the privacy practices of the EdTech products they were told or required to use during Covid-19 school closures.

Human Rights Watch conducted its technical analysis of the products between March and August 2021, and subsequently verified its findings as detailed in the methodology section. Each analysis essentially took a snapshot of the prevalence and frequency of tracking technologies embedded in each product on a given date in that window. That prevalence and frequency may fluctuate over time based on multiple factors, meaning that an analysis conducted on later dates might observe variations in the behavior of the products…(More)”

Farmer-Centric Data Governance: Towards A New Paradigm


Report, six Deep Dives, and nine Case Studies by The Development Gateway: “..provide user-centric approaches to data governance that places farmers and their communities at the center of data gathering initiatives and aims to reduce the negative effects of centralized power. The findings are based on literature, interviews, and workshops, to gather the experiences of change-makers and aims to:
• Raise awareness around the current political economy of agricultural data and its implications;
• Identify user-centric data governance models and mechanisms, particularly in LMICs;
• Demonstrate the purpose, value, benefits, and challenges of these models for all stakeholders; and
• Identify appropriate and relevant actionable principles, recommendations, and considerations related to user-centric data governance in the agriculture sector for the donor community…(More)”