Privacy Enhancing Technologies

Curated on Posted on by Stefaan Verhulst

The Royal Society: “How can technologies help organisations and individuals protect data in practice and, at the same time, unlock opportunities for data access and use?

The Royal Society’s Privacy Enhancing Technologies project has been investigating this question and has launched a report (PDF) setting out the current use, development and limits of privacy enhancing technologies (PETs) in data analysis. 

The data we generate every day holds a lot of value and potentially also contains sensitive information that individuals or organisations might not wish to share with everyone. The protection of personal or sensitive data featured prominently in the social and ethical tensions identified in our British Academy and Royal Society report Data management and use: Governance in the 21st century. For example, how can organisations best use data for public good whilst protecting sensitive information about individuals? Under other circumstances, how can they share data with groups with competing interests whilst protecting commercially or otherwise sensitive information?

Realising the full potential of large-scale data analysis may be constrained by important legal, reputational, political, business and competition concerns.  Certain risks can potentially be mitigated and managed with a set of emerging technologies and approaches often collectively referred to as ‘Privacy Enhancing Technologies’ (PETs). 

This disruptive set of technologies, combined with changes in wider policy and business frameworks, could enable the sharing and use of data in a privacy-preserving manner. They also have the potential to reshape the data economy and to change the trust relationships between citizens, governments and companies.

This report provides a high-level overview of five current and promising PETs of a diverse nature, with their respective readiness levels and illustrative case studies from a range of sectors, with a view to inform in particular applied data science research and the digital strategies of government departments and businesses. This report also includes recommendations on how the UK could fully realise the potential of PETs and to allow their use on a greater scale.

The project was informed by a series of conversations and evidence gathering events, involving a range of stakeholders across academia, government and the private sector (also see the project terms of reference and Working Group)….(More)”.

Hacking Corruption

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Paper by Tamar Ziff and Maria Fernanda Pérez Argüello: “Across the Americas, corruption scandals have eroded citizens’ trust in their governing officials and institutions, leading elected leaders to promise they will root out graft. Against this backdrop of a growing citizen backlash against corruption, the Peruvian government designated “Democratic Governance against Corruption” as the central theme of the 2018 Summit of the Americas—the triennial meeting of heads of state from countries in the Americas. The Summit produced a Lima Declaration with 57 concrete actions to strengthen the fight against corruption in the Americas, including one–Commitment 17–specifically dedicated to promoting the use of new technologies to promote transparency and government accountability.

A new report by the Inter-American Dialogue’s Peter D. Bell Rule of Law program and the Adrienne Arsht Latin America Center at the Atlantic Council aims to advance Commitment 17 by examining the promise of tech solutions to assist the fight against corruption, specifically in public procurement. The report provides examples of a number of such solutions, as well as identifying obstacles to their more widespread adoption and proposing appropriate policy responses….(More)”

Measuring impact by design: A guide to methods for impact measurement

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Privy Council Office (Canada): “…This document is intended to be both an accessible introduction to the topic, as well as a reference for those involved in the design, delivery, procurement or appraisal of impact measurement strategies for Impact Canada projects. Drawing on best practices, Measuring Impact by Design was written to guide its readers to think differently about measuring impact than we have traditionally done within the federal public service.

In its role leading Impact Canada as a whole-of-government effort, the IIU works with an ever-expanding network of partners to deliver a range of innovative, outcomes-based program approaches. We are aware that program spending is an investment that we are making on behalf of, and directly for Canadians, and we need to place a greater emphasis on understanding what differences these investments make in improving the lives of citizens. That means we need a better understanding of what works, for whom, and in what contexts; and we need a better understanding of what kinds of investments are likely to maximize the social, economic and environmental returns we seek.

“We are aware that program spending is an investment that we are making on behalf of, and directly for Canadians, and we need to place a greater emphasis on understanding what differences these investments make in improving the lives of citizens.”

Good impact measurement practices are fundamental to these understandings and it is incumbent upon us to be rigorous in our efforts. We recognize that we are still building our capacity in government deliver on these approaches. It is why we built flexibility within Impact Canada authorities to use grants and contributions to fund research organizations with expertise in the kinds of techniques outlined in this guide. We encourage our partner departments to consider taking up these flexibilities.

Measuring Impact by Design is one of a number of supports that the IIU provides to deliver on its commitment to improve measurement practices for Impact Canada. We look forward to continued collaboration with our partners in the delivery of these important outcomes-based approaches across the public sector….(More)”.

Public Value: How can it be measured, managed and grown?

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Geoff Mulgan et al at Nesta: “It builds on work Nesta has done in many fields – from health and culture to public services – to find more rounded and realistic ways of capturing the many dimensions of value created by public action. It is relevant to our work influencing governments and charities as well as to our own work as a funder, since our status as a charity commits us to creating public benefit.

Our aim in this work is to make value more transparent and more open to interrogation, whether that concerns libraries, bicycle lanes, museums, primary health services or training programmes for the unemployed. We recognise that value may come from government action; it can also be created by others, in civil society and business. And we recognise that value can often be complex, whether in terms of who benefits, or how it relates to values, as well as more technical issues such as what discount rates to apply.

But unless value is attended to explicitly, we risk ending up with unhappy results….(More)”.

Getting serious about value

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Paper by Mariana Mazzucato and Rainer Kattel: “Public value is value that is created collectively for a public purpose. This requires understanding of how public institutions can engage citizens in defining purpose (participatory structures), nurture organisational capabilities and capacity to shape new opportunities (organisational competencies); dynamically assess the value created (dynamic evaluation); and ensure that societal value is distributed equitably (inclusive growth).Rainer KattelMariana Mazzucato and Public value is value that is created collectively for a public purpose. This requires understanding of how public institutions can engage citizens in defining purpose (participatory structures), nurture organisational capabilities and capacity to shape new opportunities (organisational competencies); dynamically assess the value created (dynamic evaluation); and ensure that societal value is distributed equitably (inclusive growth).

Purpose-driven capitalism requires more than just words and gestures of goodwill. It requires purpose to be put at the centre of how companies and governments are run and how they interact with civil society.

Keynes claimed that practitioners who thought they were just getting the ‘job done’ were slaves of defunct economic theory.1 Purposeful capitalism, if it is to happen on the ground for real, requires a rethinking of value in economic theory and how it has shaped actions.

Today’s dominant economics framework restricts its understanding of value to a theory of exchange; only that which has a price is valuable. ‘Collective’ effort is missed since it is only individual decisions that matter:
even wages are seen as outcomes of an individual’s choice (maximisation of utility) between leisure versus work. ‘Social value’ itself is limited to looking at economic ‘welfare’ principles; that is, aggregate outcomes from individual behaviours…(More)”

A crisis of legitimacy

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Blair Sheppard and Ceri-Ann Droog at Strategy and Business: “For the last 70 years the world has done remarkably well. According to the World Bank, the number of people living in extreme poverty today is less than it was in 1820, even though the world population is seven times as large. This is a truly remarkable achievement, and it goes hand in hand with equally remarkable overall advances in wealth, scientific progress, human longevity, and quality of life.

But the organizations that created these triumphs — the most prominent businesses, governments, and multilateral institutions of the post–World War II era — have failed to keep their implicit promises. As a result, today’s leading organizations face a global crisis of legitimacy. For the first time in decades, their influence, and even their right to exist, are being questioned.

Businesses are also being held accountable in new ways for the welfare, prosperity, and health of the communities around them and of the general public. Our own global firm, PwC, is among these businesses. The accusations facing any individual enterprise may or may not be justified, but the broader attitudes underlying them must be taken seriously.

The causes of this crisis of legitimacy have to do with five basic challenges affecting every part of the world:

  • Asymmetry: Wealth disparity and the erosion of the middle class
  • Disruption: Abrupt technological changes and their destructive effects
  • Age: Demographic pressures as the average life span of human beings increases and the birth rate falls
  • Populism: Growing populism and rejection of the status quo, with associated nationalism and global fracturing
  • Trust: Declining confidence in the prevailing institutions that make our systems work.

(We use the acronym ADAPT to list these challenges because it evokes the inherent change in our time and the need for institutions to respond with new attitudes and behaviors.)

Source: strategy-business.com/ADAPT

A few other challenges, such as climate change and human rights issues, may occur to you as equally important. They are not included in this list because they are not at the forefront of this particular crisis of legitimacy in the same way. But they are affected by it; if leading businesses and global institutions lose their perceived value, it will be harder to address every other issue affecting the world today.

Ignoring the crisis of legitimacy is not an option — not even for business leaders who feel their primary responsibility is to their shareholders. If we postpone solutions too long, we could go past the point of no return: The cost of solving these problems will be too high. Brexit could be a test case. The costs and difficulties of withdrawal could be echoed in other political breakdowns around the world. And if you don’t believe that widespread economic and political disruption is possible right now, then consider the other revolutions and abrupt, dramatic changes in sovereignty that have occurred in the last 250 years, often with technological shifts and widespread dissatisfaction as key factors….(More)”.

How Can We Overcome the Challenge of Biased and Incomplete Data?

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Knowledge@Wharton: “Data analytics and artificial intelligence are transforming our lives. Be it in health care, in banking and financial services, or in times of humanitarian crises — data determine the way decisions are made. But often, the way data is collected and measured can result in biased and incomplete information, and this can significantly impact outcomes.  

In a conversation with Knowledge@Wharton at the SWIFT Institute Conference on the Impact of Artificial Intelligence and Machine Learning in the Financial Services Industry, Alexandra Olteanu, a post-doctoral researcher at Microsoft Research, U.S. and Canada, discussed the ethical and people considerations in data collection and artificial intelligence and how we can work towards removing the biases….

….Knowledge@Wharton: Bias is a big issue when you’re dealing with humanitarian crises, because it can influence who gets help and who doesn’t. When you translate that into the business world, especially in financial services, what implications do you see for algorithmic bias? What might be some of the consequences?

Olteanu: A good example is from a new law in the New York state according to which insurance companies can now use social media to decide the level for your premiums. But, they could in fact end up using incomplete information. For instance, you might be buying your vegetables from the supermarket or a farmer’s market, but these retailers might not be tracking you on social media. So nobody knows that you are eating vegetables. On the other hand, a bakery that you visit might post something when you buy from there. Based on this, the insurance companies may conclude that you only eat cookies all the time. This shows how even incomplete data can affect you….(More)”.

A Taxonomy of Definitions for the Health Data Ecosystem

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Announcement: “Healthcare technologies are rapidly evolving, producing new data sources, data types, and data uses, which precipitate more rapid and complex data sharing. Novel technologies—such as artificial intelligence tools and new internet of things (IOT) devices and services—are providing benefits to patients, doctors, and researchers. Data-driven products and services are deepening patients’ and consumers’ engagement and helping to improve health outcomes. Understanding the evolving health data ecosystem presents new challenges for policymakers and industry. There is an increasing need to better understand and document the stakeholders, the emerging data types and their uses.

The Future of Privacy Forum (FPF) and the Information Accountability Foundation (IAF) partnered to form the FPF-IAF Joint Health Initiative in 2018. Today, the Initiative is releasing A Taxonomy of Definitions for the Health Data Ecosystem; the publication is intended to enable a more nuanced, accurate, and common understanding of the current state of the health data ecosystem. The Taxonomy outlines the established and emerging language of the health data ecosystem. The Taxonomy includes definitions of:

  • The stakeholders currently involved in the health data ecosystem and examples of each;
  • The common and emerging data types that are being collected, used, and shared across the health data ecosystem;
  • The purposes for which data types are used in the health data ecosystem; and
  • The types of actions that are now being performed and which we anticipate will be performed on datasets as the ecosystem evolves and expands.

This report is as an educational resource that will enable a deeper understanding of the current landscape of stakeholders and data types….(More)”.

Platforms that trigger innovation

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Report by the Caixa Foundation: “…The Work4Progress programme thus supports the creation of “Open Innovation Platforms for the creation of employment in Peru, India and Mozambique” by means of collaborative partnerships between local civil society organisations, private sector, administration, universities and Spanish NGOs.

The main innovation of this programme is the incorporation of new tools and methodologies in: (1) listening and identification of community needs, (2) the co-creation and prototyping of new solutions, (3) the exploration of instruments for scaling, (4) governance, (5) evolving evaluation systems and (6) financing strategies. The goal of all of the above is to try to incorporate innovation strategies comprehensively in all components.

Work4Progress has been designed with a Think-and-Do-Tank mentality. The
member organisations of the platforms are experimenting in the field, while a group of international experts helps us to obtain this knowledge and share it with centres of thought and action at international level. In fact, this is the objective of this publication: to share the theoretical framework of the programme, to connect these ideas with concrete examples and to continue to strengthen the meeting point between social innovation and development cooperation.

Work4Progress is offered as a ‘living lab’ to test new methodologies that may be useful for other philanthropic institutions, governments or entities specialising in international development….(More)”.

Commission publishes guidance on free flow of non-personal data

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European Commission: “The guidance fulfils an obligation in the Regulation on the free flow of non-personal data (FFD Regulation), which requires the Commission to publish a guidance on the interaction between this Regulation and the General Data Protection Regulation (GDPR), especially as regards datasets composed of both personal and non-personal data. It aims to help users – in particular small and medium-sized enterprises – understand the interaction between the two regulations.

In line with the existing GDPR documents, prepared by the European Data Protection Board, this guidance document aims to clarify which rules apply when processing personal and non-personal data. It gives a useful overview of the central concepts of the free flow of personal and non-personal data within the EU, while explaining the relation between the two Regulations in practical terms and with concrete examples….

Non-personal data are distinct from personal data, as laid down in the GDPR Regulation. The non-personal data can be categorised in terms of origin, namely:

  • data which originally did not relate to an identified or identifiable natural person, such as data on weather conditions generated by sensors installed on wind turbines, or data on maintenance needs for industrial machines; or
  • data which was initially personal data, but later made anonymous.

While the guidance refers to more examples of non-personal data, it also explains the concept of personal data, anonymised and pseudonymised, to provide a better understanding as well describes the limitations between personal and non-personal data.

What are mixed datasets?

In most real-life situations, a dataset is very likely to be composed of both personal and non-personal data. This is often referred to as a “mixed dataset”. Mixed datasets represent the majority of datasets used in the data economy and commonly gathered thanks to technological developments such as the Internet of Things (i.e. digitally connecting objects), artificial intelligence and technologies enabling big data analytics.

Examples of mixed datasets include a company’s tax records, mentioning the name and telephone number of the managing director of the company. This can also include a company’s knowledge of IT problems and solutions based on individual incident reports, or a research institution’s anonymised statistical data and the raw data initially collected, such as the replies of individual respondents to statistical survey questions….(More)”.