How Tech Companies Can Advance Data Science for Social Good

Curated on Posted on by Stefaan Verhulst

Essay by Nick Martin: “As the world struggles to achieve the UN’s Sustainable Development Goals (SDGs), the need for reliable data to track our progress is more important than ever. Government, civil society, and private sector organizations all play a role in producing, sharing, and using this data, but their information-gathering and -analysis efforts have been able to shed light on only 68 percent of the SDG indicators so far, according to a 2019 UN study.

To help fill the gap, the data science for social good (DSSG) movement has for years been making datasets about important social issues—such as health care infrastructure, school enrollment, air quality, and business registrations—available to trusted organizations or the public. Large tech companies such as Facebook, Google, Amazon, and others have recently begun to embrace the DSSG movement. Spurred on by advances in the field, the Development Data Partnership, the World Economic Forum’s 2030Vision consortium, and Data Collaboratives, they’re offering information about social media users’ mobility during COVID-19, cloud computing infrastructure to help nonprofits analyze large datasets, and other important tools and services.

But sharing data resources doesn’t mean they’ll be used effectively, if at all, to advance social impact. High-impact results require recipients of data assistance to inhabit a robust, holistic data ecosystem that includes assets like policies for safely handling data and the skills to analyze it. As tech firms become increasingly involved with using data and data science to help achieve the SDGs, it’s important that they understand the possibilities and limitations of the nonprofits and other civil society organizations they’re working with. Without a firm grasp on the data ecosystems of their partners, all the technical wizardry in the world may be for naught.

Companies must ask questions such as: What incentives or disincentives are in place for nonprofits to experiment with data science in their work? What gaps remain between what nonprofits or data scientists need and the resources funders provide? What skills must be developed? To help find answers, TechChange, an organization dedicated to using technology for social good, partnered with Project17, Facebook’s partnerships-led initiative to accelerate progress on the SDGs. Over the past six months, the team led interviews with top figures in the DSSG community from industry, academia, and the public sector. The 14 experts shared numerous insights into using data and data science to advance social good and the SDGs. Four takeaways emerged from our conversations and research…(More)”.

Privacy in Pandemic: Law, Technology, and Public Health in the COVID-19 Crisis

Curated on Posted on by Stefaan Verhulst

Paper by Tiffany C. Li: “The COVID-19 pandemic has caused millions of deaths and disastrous consequences around the world, with lasting repercussions for every field of law, including privacy and technology. The unique characteristics of this pandemic have precipitated an increase in use of new technologies, including remote communications platforms, healthcare robots, and medical AI. Public and private actors are using new technologies, like heat sensing, and technologically-influenced programs, like contact tracing, alike in response, leading to a rise in government and corporate surveillance in sectors like healthcare, employment, education, and commerce. Advocates have raised the alarm for privacy and civil liberties violations, but the emergency nature of the pandemic has drowned out many concerns.

This Article is the first comprehensive account of privacy impacts related to technology and public health responses to the COVID-19 crisis. Many have written on the general need for better health privacy protections, education privacy protections, consumer privacy protections, and protections against government and corporate surveillance. However, this Article is the first comprehensive article to examine these problems of privacy and technology specifically in light of the pandemic, arguing that the lens of the pandemic exposes the need for both widescale and small-scale reform of privacy law. This Article approaches these problems with a focus on technical realities and social salience, and with a critical awareness of digital and political inequities, crafting normative recommendations with these concepts in mind.

Understanding privacy in this time of pandemic is critical for law and policymaking in the near future and for the long-term goals of creating a future society that protects both civil liberties and public health. It is also important to create a contemporary scholarly understanding of privacy in pandemic at this moment in time, as a matter of historical record. By examining privacy in pandemic, in the midst of pandemic, this Article seeks to create a holistic scholarly foundation for future work on privacy, technology, public health, and legal responses to global crises….(More)”

US Government Guide to Global Sharing of Personal Information

Curated on Posted on by Stefaan Verhulst

Book by IAPP: “The Guide to U.S. Government Practice on Global Sharing of Personal Information, Third Edition is a reference tool on U.S. government practice in G2G-sharing arrangements. The third edition contains new agreements, including the U.S.-U.K. Cloud Act Agreement, EU-U.S. Umbrella Agreement, United States-Mexico-Canada Agreement, and EU-U.S. Privacy Shield framework. This book examines those agreements as a way of establishing how practice has evolved. In addition to reviewing past agreements, international privacy principles of the Organization for Economic Co-operation and Development and Asian-Pacific Economic Cooperation will be reviewed for their relevance to G2G sharing. The guide is intended for lawyers, privacy professionals and individuals who wish to understand U.S. practice for sharing personal information across borders….(More)”.

AI Governance through Political Fora and Standards Developing Organizations

Curated on Posted on by Stefaan Verhulst

Report by Philippe Lorenz: “Shaping international norms around the ethics of Artificial Intelligence (AI) is perceived as a new responsibility by foreign policy makers. This responsibility is accompanied by a desire to play an active role in the most important international fora. Given the limited resources in terms of time and budget, foreign ministries need to set priorities for their involvement in the gover­nance of AI. First and foremost, this requires an understanding of the entire AI governance landscape and the actors involved. The intention of this paper is to take a step back and familiarize foreign policy makers with the internal structures of the individual AI governance initiatives and the relationships between the involved actors. A basic understanding of the landscape also makes it easier to classify thematic developments and emerging actors, their agendas, and strategies.

This paper provides foreign policy practitioners with a mapping that can serve as a compass to navigate the complex web of stakeholders that shape the international debate on AI ethics. It plots political fora that serve as a platform for actors to agree upon ethical principles and pursue binding regulation. The mapping supplements the political purview with key actors who create technical standards on the ethics of AI. Furthermore, it describes the dynamic relationships between actors from these two domains. International governance addresses AI ethics through two different dimensions: political fora and Standards Developing Organizations (SDOs). Although it may be tempting to only engage on the diplomatic stage, this would be insufficient to help shape AI policy. Foreign policy makers must tend to both dimensions. While both governance worlds share the same topics and themes (in this case, AI ethics), they differ in their stakeholders, goals, outputs, and reach.

Key political and economic organizations such as the United Nations (UN), the Organisation for Economic Co-operation and Development (OECD), and the European Commission (EC) address ethical concerns raised by AI technologies. But so do SDOs such as the International Organization for Standardization (ISO), the International Electrotechnical Commission (IEC), and the IEEE Standards Association (IEEE SA). Although actors from the latter category are typically concerned with the development of standards that address terminology, ontology, and technical benchmarks that facilitate product interoperability and market access, they, too, address AI ethics.

But these discussions on AI ethics will be useless if they do not inform the development of concrete policies for how to govern the technology.
At international political fora, on the one hand, states shape the outputs that are often limited to non-binding, soft AI principles. SDOs, on the other hand, tend to the private sector. They are characterized by consensus-based decision-making processes that facilitate the adoption of industry standards. These fora are generally not accessible to (foreign) policy makers. Either because they exclusively cater to private sector and bar policy makers from joining, or because active participation requires in-depth technical expertise as well as industry knowledge which may surpass diplomats’ skill sets. Nonetheless, as prominent standard setting bodies such as ISO, IEC, and IEEE SA pursue industry standards in AI ethics, foreign policy makers need to take notice, as this will likely have consequences for their negotiations at international political fora.

The precondition for active engagement is to gain an overview of the AI Governance environment. Foreign policy practitioners need to understand the landscape of stakeholders, identify key actors, and start to strategically engage with questions relevant to AI governance. This is necessary to determine whether a given initiative on AI ethics is aligned with one’s own foreign policy goals and, therefore, worth engaging with. It is also helpful to assess industry dynamics that might affect geo-economic deliberations. Lastly, all of this is vital information to report back to government headquarters to inform policy making, as AI policy is a matter of domestic and foreign policy….(More)”.

Statistics, lies and the virus: lessons from a pandemic

Curated on Posted on by Stefaan Verhulst

Tim Hartford at the Financial Times: “Will this year be 1954 all over again? Forgive me, I have become obsessed with 1954, not because it offers another example of a pandemic (that was 1957) or an economic disaster (there was a mild US downturn in 1953), but for more parochial reasons. Nineteen fifty-four saw the appearance of two contrasting visions for the world of statistics — visions that have shaped our politics, our media and our health. This year confronts us with a similar choice.

The first of these visions was presented in How to Lie with Statistics, a book by a US journalist named Darrell Huff. Brisk, intelligent and witty, it is a little marvel of numerical communication. The book received rave reviews at the time, has been praised by many statisticians over the years and is said to be the best-selling work on the subject ever published. It is also an exercise in scorn: read it and you may be disinclined to believe a number-based claim ever again….

But they can — and back in 1954, the alternative perspective was embodied in the publication of an academic paper by the British epidemiologists Richard Doll and Austin Bradford Hill. They marshalled some of the first compelling evidence that smoking cigarettes dramatically increases the risk of lung cancer. The data they assembled persuaded both men to quit smoking and helped save tens of millions of lives by prompting others to do likewise. This was no statistical trickery, but a contribution to public health that is almost impossible to exaggerate…

As described in books such as Merchants of Doubt by Erik Conway and Naomi Oreskes, this industry perfected the tactics of spreading uncertainty: calling for more research, emphasising doubt and the need to avoid drastic steps, highlighting disagreements between experts and funding alternative lines of inquiry. The same tactics, and sometimes even the same personnel, were later deployed to cast doubt on climate science. These tactics are powerful in part because they echo the ideals of science.

It is a short step from the Royal Society’s motto, “nullius in verba” (take nobody’s word for it), to the corrosive nihilism of “nobody knows anything”.  So will 2020 be another 1954? From the point of view of statistics, we seem to be standing at another fork in the road.

The disinformation is still out there, as the public understanding of Covid-19 has been muddied by conspiracy theorists, trolls and government spin doctors.  Yet the information is out there too. The value of gathering and rigorously analysing data has rarely been more evident. Faced with a complete mystery at the start of the year, statisticians, scientists and epidemiologists have been working miracles. I hope that we choose the right fork, because the pandemic has lessons to teach us about statistics — and vice versa — if we are willing to learn…(More)”.

Data to the rescue: how humanitarian aid NGOs should collect information based on the GDPR

Curated on Posted on by Stefaan Verhulst

Paper by Theodora Gazi: “Data collection is valuable before, during and after interventions in order to increase the effectiveness of humanitarian projects. Although the General Data Protection Regulation (GDPR) sets forth rules for the processing of personal data, its implementation by humanitarian aid actors is crucial and presents challenges. Failure to comply triggers severe risks for both data subjects and the reputation of the actor. This article provides insights into the implementation of the guiding principles of the GDPR, the legal bases for data processing, data subjects’ rights and data sharing during the provision of humanitarian assistance…(More)”

Building Capacity for Evidence-Informed Policy-Making

Curated on Posted on by Stefaan Verhulst

OECD Report: “This report analyses the skills and capacities governments need to strengthen evidence-informed policy-making (EIPM) and identifies a range of possible interventions that are available to foster greater uptake of evidence. Increasing governments’ capacity for evidence-informed is a critical part of good public governance. However, an effective connection between the supply and the demand for evidence in the policy-making process remains elusive. This report offers concrete tools and a set of good practices for how the public sector can support senior officials, experts and advisors working at the political/administrative interface. This support entails investing in capability, opportunity and motivation and through behavioral changes. The report identifies a core skillset for EIPM at the individual level, including the capacity for understanding, obtaining, assessing, using, engaging with stakeholders, and applying evidence, which was developed in collaboration with the European Commission Joint Research Centre. It also identifies a set of capacities at the organisational level that can be put in place across the machinery of government, throughout the role of interventions, strategies and tools to strengthen these capacities. The report concludes with a set of recommendations to assist governments in building their capacities…(More)”.

The Razor’s Edge: Liberalizing the Digital Surveillance Ecosystem

Curated on Posted on by Stefaan Verhulst

Report by CNAS: “The COVID-19 pandemic is accelerating global trends in digital surveillance. Public health imperatives, combined with opportunism by autocratic regimes and authoritarian-leaning leaders, are expanding personal data collection and surveillance. This tendency toward increased surveillance is taking shape differently in repressive regimes, open societies, and the nation-states in between.

China, run by the Chinese Communist Party (CCP), is leading the world in using technology to enforce social control, monitor populations, and influence behavior. Part of maximizing this control depends on data aggregation and a growing capacity to link the digital and physical world in real time, where online offenses result in brisk repercussions. Further, China is increasing investments in surveillance technology and attempting to influence the patterns of technology’s global use through the export of authoritarian norms, values, and governance practices. For example, China champions its own technology standards to the rest of the world, while simultaneously peddling legislative models abroad that facilitate access to personal data by the state. Today, the COVID-19 pandemic offers China and other authoritarian nations the opportunity to test and expand their existing surveillance powers internally, as well as make these more extensive measures permanent.

Global swing states are already exhibiting troubling trends in their use of digital surveillance, including establishing centralized, government-held databases and trading surveillance practices with authoritarian regimes. Amid the pandemic, swing states like India seem to be taking cues from autocratic regimes by mandating the download of government-enabled contact-tracing applications. Yet, for now, these swing states appear responsive to their citizenry and sensitive to public agitation over privacy concerns.

Today, the COVID-19 pandemic offers China and other authoritarian nations the opportunity to test and expand their existing surveillance powers internally, as well as make these more extensive measures permanent.

Open societies and democracies can demonstrate global surveillance trends similar to authoritarian regimes and swing states, including the expansion of digital surveillance in the name of public safety and growing private sector capabilities to collect and analyze data on individuals. Yet these trends toward greater surveillance still occur within the context of pluralistic, open societies that feature ongoing debates about the limits of surveillance. However, the pandemic stands to shift the debate in these countries from skepticism over personal data collection to wider acceptance. Thus far, the spectrum of responses to public surveillance reflects the diversity of democracies’ citizenry and processes….(More)”.

The open source movement takes on climate data

Curated on Posted on by Stefaan Verhulst

Article by Heather Clancy: “…many companies are moving to disclose “climate risk,” although far fewer are moving to actually minimize it. And as those tasked with preparing those reports can attest, the process of gathering the data for them is frustrating and complex, especially as the level of detail desired and required by investors becomes deeper.

That pain point was the inspiration for a new climate data project launched this week that will be spearheaded by the Linux Foundation, the nonprofit host organization for thousands of the most influential open source software and data initiatives in the world such as GitHub. The foundation is central to the evolution of the Linux software that runs in the back offices of most major financial services firms. 

There are four powerful founding members for the new group, the LF Climate Finance Foundation (LFCF): Insurance and asset management company Allianz, cloud software giants Amazon and Microsoft, and data intelligence powerhouse S&P Global. The foundation’s “planning team” includes World Wide Fund for Nature (WWF), Ceres and the Sustainability Account Standards Board (SASB).

The group’s intention is to collaborate on an open source project called the OS-Climate platform, which will include economic and physical risk scenarios that investors, regulators, companies, financial analysts and others can use for their analysis. 

The idea is to create a “public service utility” where certain types of climate data can be accessed easily, then combined with other, more proprietary information that someone might be using for risk analysis, according to Truman Semans, CEO of OS-Climate, who was instrumental in getting the effort off the ground. “There are a whole lot of initiatives out there that address pieces of the puzzle, but no unified platform to allow those to interoperate,” he told me. There are a whole lot of initiatives out there that address pieces of the puzzle, but no unified platform to allow those to interoperate.

Why does this matter? It helps to understand the history of open source software, which was once a thing that many powerful software companies, notably Microsoft, abhorred because they were worried about the financial hit on their intellectual property. Flash forward to today and the open source software movement, “staffed” by literally millions of software developers, is credited with accelerating the creation of common system-level elements so that companies can focus their own resources on solving problems directly related to their business.

In short, this budding effort could make the right data available more quickly, so that businesses — particularly financial institutions — can make better informed decisions.

Or, as Microsoft’s chief intellectual property counsel, Jennifer Yokoyama, observed in the announcement press release: “Addressing climate issues in a meaningful way requires people and organizations to have access to data to better understand the impact of their actions. Opening up and sharing our contribution of significant and relevant sustainability data through the LF Climate Finance Foundation will help advance the financial modeling and understanding of climate change impact — an important step in affecting political change. We’re excited to collaborate with the other founding members and hope additional organizations will join.”…(More)”

Indigenous Data Sovereignty and Policy

Curated on Posted on by Stefaan Verhulst

Book edited by Maggie Walter, Tahu Kukutai, Stephanie Russo Carroll and Desi Rodriguez-Lonebear: “This book examines how Indigenous Peoples around the world are demanding greater data sovereignty, and challenging the ways in which governments have historically used Indigenous data to develop policies and programs.

In the digital age, governments are increasingly dependent on data and data analytics to inform their policies and decision-making. However, Indigenous Peoples have often been the unwilling targets of policy interventions and have had little say over the collection, use and application of data about them, their lands and cultures. At the heart of Indigenous Peoples’ demands for change are the enduring aspirations of self-determination over their institutions, resources, knowledge and information systems.

With contributors from Australia, Aotearoa New Zealand, North and South America and Europe, this book offers a rich account of the potential for Indigenous data sovereignty to support human flourishing and to protect against the ever-growing threats of data-related risks and harms….(More)”.