Public Attitudes Toward Computer Algorithms


Aaron Smith at the Pew Research Center: “Algorithms are all around us, utilizing massive stores of data and complex analytics to make decisions with often significant impacts on humans. They recommend books and movies for us to read and watch, surface news stories they think we might find relevant, estimate the likelihood that a tumor is cancerous and predict whether someone might be a criminal or a worthwhile credit risk. But despite the growing presence of algorithms in many aspects of daily life, a Pew Research Center survey of U.S. adults finds that the public is frequently skeptical of these tools when used in various real-life situations.

This skepticism spans several dimensions. At a broad level, 58% of Americans feel that computer programs will always reflect some level of human bias – although 40% think these programs can be designed in a way that is bias-free. And in various contexts, the public worries that these tools might violate privacy, fail to capture the nuance of complex situations, or simply put the people they are evaluating in an unfair situation. Public perceptions of algorithmic decision-making are also often highly contextual. The survey shows that otherwise similar technologies can be viewed with support or suspicion depending on the circumstances or on the tasks they are assigned to do….

The following are among the major findings.

The public expresses broad concerns about the fairness and acceptability of using computers for decision-making in situations with important real-world consequences

Majorities of Americans find it unacceptable to use algorithms to make decisions with real-world consequences for humans

By and large, the public views these examples of algorithmic decision-making as unfair to the people the computer-based systems are evaluating. Most notably, only around one-third of Americans think that the video job interview and personal finance score algorithms would be fair to job applicants and consumers. When asked directly whether they think the use of these algorithms is acceptable, a majority of the public says that they are not acceptable. Two-thirds of Americans (68%) find the personal finance score algorithm unacceptable, and 67% say the computer-aided video job analysis algorithm is unacceptable….

Attitudes toward algorithmic decision-making can depend heavily on context

Despite the consistencies in some of these responses, the survey also highlights the ways in which Americans’ attitudes toward algorithmic decision-making can depend heavily on the context of those decisions and the characteristics of the people who might be affected….

When it comes to the algorithms that underpin the social media environment, users’ comfort level with sharing their personal information also depends heavily on how and why their data are being used. A 75% majority of social media users say they would be comfortable sharing their data with those sites if it were used to recommend events they might like to attend. But that share falls to just 37% if their data are being used to deliver messages from political campaigns.

Across age groups, social media users are comfortable with their data being used to recommend events - but wary of that data being used for political messaging

In other instances, different types of users offer divergent views about the collection and use of their personal data. For instance, about two-thirds of social media users younger than 50 find it acceptable for social media platforms to use their personal data to recommend connecting with people they might want to know. But that view is shared by fewer than half of users ages 65 and older….(More)”.

Just Giving: Why Philanthropy Is Failing Democracy and How It Can Do Better


Book by Rob Reich: “Is philanthropy, by its very nature, a threat to today’s democracy? Though we may laud wealthy individuals who give away their money for society’s benefit, Just Giving shows how such generosity not only isn’t the unassailable good we think it to be but might also undermine democratic values and set back aspirations of justice. Big philanthropy is often an exercise of power, the conversion of private assets into public influence. And it is a form of power that is largely unaccountable, often perpetual, and lavishly tax-advantaged. The affluent—and their foundations—reap vast benefits even as they influence policy without accountability. And small philanthropy, or ordinary charitable giving, can be problematic as well. Charity, it turns out, does surprisingly little to provide for those in need and sometimes worsens inequality.

These outcomes are shaped by the policies that define and structure philanthropy. When, how much, and to whom people give is influenced by laws governing everything from the creation of foundations and nonprofits to generous tax exemptions for donations of money and property. Rob Reich asks: What attitude and what policies should democracies have concerning individuals who give money away for public purposes? Philanthropy currently fails democracy in many ways, but Reich argues that it can be redeemed. Differentiating between individual philanthropy and private foundations, the aims of mass giving should be the decentralization of power in the production of public goods, such as the arts, education, and science. For foundations, the goal should be what Reich terms “discovery,” or long-time-horizon innovations that enhance democratic experimentalism. Philanthropy, when properly structured, can play a crucial role in supporting a strong liberal democracy.

Just Giving investigates the ethical and political dimensions of philanthropy and considers how giving might better support democratic values and promote justice….(More)”

Quantifying Bicycle Network Connectivity in Lisbon Using Open Data


Lorena Abad and Lucas van der Meer in information: “Stimulating non-motorized transport has been a key point on sustainable mobility agendas for cities around the world. Lisbon is no exception, as it invests in the implementation of new bike infrastructure. Quantifying the connectivity of such a bicycle network can help evaluate its current state and highlight specific challenges that should be addressed. Therefore, the aim of this study is to develop an exploratory score that allows a quantification of the bicycle network connectivity in Lisbon based on open data.

For each part of the city, a score was computed based on how many common destinations (e.g., schools, universities, supermarkets, hospitals) were located within an acceptable biking distance when using only bicycle lanes and roads with low traffic stress for cyclists. Taking a weighted average of these scores resulted in an overall score for the city of Lisbon of only 8.6 out of 100 points. This shows, at a glance, that the city still has a long way to go before achieving their objectives regarding bicycle use in the city….(More)”.

You can’t characterize human nature if studies overlook 85 percent of people on Earth


Daniel Hruschka at the Conversation: “Over the last century, behavioral researchers have revealed the biases and prejudices that shape how people see the world and the carrots and sticks that influence our daily actions. Their discoveries have filled psychology textbooks and inspired generations of students. They’ve also informed how businesses manage their employees, how educators develop new curricula and how political campaigns persuade and motivate voters.

But a growing body of research has raised concerns that many of these discoveries suffer from severe biases of their own. Specifically, the vast majority of what we know about human psychology and behavior comes from studies conducted with a narrow slice of humanity – college students, middle-class respondents living near universities and highly educated residents of wealthy, industrialized and democratic nations.

Blue countries represent the locations of 93 percent of studies published in Psychological Science in 2017. Dark blue is U.S., blue is Anglophone colonies with a European descent majority, light blue is western Europe. Regions sized by population.

To illustrate the extent of this bias, consider that more than 90 percent of studies recently published in psychological science’s flagship journal come from countries representing less than 15 percent of the world’s population.

If people thought and behaved in basically the same ways worldwide, selective attention to these typical participants would not be a problem. Unfortunately, in those rare cases where researchers have reached out to a broader range of humanity, they frequently find that the “usual suspects” most often included as participants in psychology studies are actually outliers. They stand apart from the vast majority of humanity in things like how they divvy up windfalls with strangers, how they reason about moral dilemmas and how they perceive optical illusions.

Given that these typical participants are often outliers, many scholars now describe them and the findings associated with them using the acronym WEIRD, for Western, educated, industrialized, rich and democratic.

WEIRD isn’t universal

Because so little research has been conducted outside this narrow set of typical participants, anthropologists like me cannot be sure how pervasive or consequential the problem is. A growing body of case studies suggests, though, that assuming such typical participants are the norm worldwide is not only scientifically suspect but can also have practical consequences….(More)”.

The Blockchain and the New Architecture of Trust


The Blockchain and the New Architecture of Trust

Book by Kevin Werbach: “The blockchain entered the world on January 3, 2009, introducing an innovative new trust architecture: an environment in which users trust a system—for example, a shared ledger of information—without necessarily trusting any of its components. The cryptocurrency Bitcoin is the most famous implementation of the blockchain, but hundreds of other companies have been founded and billions of dollars invested in similar applications since Bitcoin’s launch. Some see the blockchain as offering more opportunities for criminal behavior than benefits to society. In this book, Kevin Werbach shows how a technology resting on foundations of mutual mistrust can become trustworthy.

The blockchain, built on open software and decentralized foundations that allow anyone to participate, seems like a threat to any form of regulation. In fact, Werbach argues, law and the blockchain need each other. Blockchain systems that ignore law and governance are likely to fail, or to become outlaw technologies irrelevant to the mainstream economy. That, Werbach cautions, would be a tragic waste of potential. If, however, we recognize the blockchain as a kind of legal technology that shapes behavior in new ways, it can be harnessed to create tremendous business and social value….(More)”

Data-Driven Development


Report by the World Bank: “…Decisions based on data can greatly improve people’s lives. Data can uncover patterns, unexpected relationships and market trends, making it possible to address previously intractable problems and leverage hidden opportunities. For example, tracking genes associated with certain types of cancer to improve treatment, or using commuter travel patterns to devise public transportation that is affordable and accessible for users, as well as profitable for operators.

Data is clearly a precious commodity, and the report points out that people should have greater control over the use of their personal data. Broadly speaking, there are three possible answers to the question “Who controls our data?”: firms, governments, or users. No global consensus yet exists on the extent to which private firms that mine data about individuals should be free to use the data for profit and to improve services.

User’s willingness to share data in return for benefits and free services – such as virtually unrestricted use of social media platforms – varies widely by country. In addition to that, early internet adopters, who grew up with the internet and are now age 30–40, are the most willing to share (GfK 2017).

Are you willing to share your data? (source: GfK 2017)

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On the other hand, data can worsen the digital divide – the data poor, who leave no digital trail because they have limited access, are most at risk from exclusion from services, opportunities and rights, as are those who lack a digital ID, for instance.

Firms and Data

For private sector firms, particularly those in developing countries, the report suggests how they might expand their markets and improve their competitive edge. Companies are already developing new markets and making profits by analyzing data to better understand their customers. This is transforming conventional business models. For years, telecommunications has been funded by users paying for phone calls. Today, advertisers pay for users’ data and attention are funding the internet, social media, and other platforms, such as apps, reversing the value flow.

Governments and Data

For governments and development professionals, the report provides guidance on how they might use data more creatively to help tackle key global challenges, such as eliminating extreme poverty, promoting shared prosperity, or mitigating the effects of climate change. The first step is developing appropriate guidelines for data sharing and use, and for anonymizing personal data. Governments are already beginning to use the huge quantities of data they hold to enhance service delivery, though they still have far to go to catch up with the commercial giants, the report finds.

Data for Development

The Information and Communications for Development report analyses how the data revolution is changing the behavior of governments, individuals, and firms and how these changes affect economic, social, and cultural development. This is a topic of growing importance that cannot be ignored, and the report aims to stimulate wider debate on the unique challenges and opportunities of data for development. It will be useful for policy makers, but also for anyone concerned about how their personal data is used and how the data revolution might affect their future job prospects….(More)”.

Behavioural Insights Toolkit and Ethical Guidelines for Policy Makers


Consultation Document by the OECD: “BASIC (Behaviour, Analysis, Strategies, Intervention, and Change) is an overarching framework for applying behavioural insights to public policy from the beginning to the end of the policy cycle. It is built on five stages that guides the application of behavioural insights and is a repository of best practices, proof of concepts and methodological standards for behavioural insights practitioners and policymakers who have become interested in applying behavioural insights to public policy. Crucially, BASIC offers an approach to problem scoping that can be of relevance for any policymaker and practitioner when addressing a policy problem, be it behavioural or systemic.

The document provides an overview of the rationale, applicability and key tenets of BASIC. It walks practitioners through the five BASIC sequential stages with examples, and presents detailed ethical guidelines to be considered at each stage.

It has been developed by the OECD in partnership with Dr Pelle Guldborg Hansen of Roskilde University, Denmark. This version benefitted from feedback provided by the participants in the Western Cape Government – OECD Behavioural Insights Conference held in Cape Town on 27-28 September 2018….(More)”

Tricky Design: The Ethics of Things


Book edited by Tom Fisher and Lorraine Gamman: “Tricky Things responds to the burgeoning of scholarly interest in the cultural meanings of objects, by addressing the moral complexity of certain designed objects and systems.

The volume brings together leading international designers, scholars and critics to explore some of the ways in which the practice of design and its outcomes can have a dark side, even when the intention is to design for the public good. Considering a range of designed objects and relationships, including guns, eyewear, assisted suicide kits, anti-rape devices, passports and prisons, the contributors offer a view of design as both progressive and problematic, able to propose new material and human relationships, yet also constrained by social norms and ideology. 

This contradictory, tricky quality of design is explored in the editors’ introduction, which positions the objects, systems, services and ‘things’ discussed in the book in relation to the idea of the trickster that occurs in anthropological literature, as well as in classical thought, discussing design interventions that have positive and negative ethical consequences. These will include objects, both material and ‘immaterial’, systems with both local and global scope, and also different processes of designing. 

This important new volume brings a fresh perspective to the complex nature of ‘things‘, and makes a truly original contribution to debates in design ethics, design philosophy and material culture….(More)”

Sidewalk Labs: Privacy in a City Built from the Internet Up


Harvard Business School Case Study by Leslie K. John, Mitchell Weiss and Julia Kelley: “By the time Dan Doctoroff, CEO of Sidewalk Labs, began hosting a Reddit “Ask Me Anything” session in January 2018, he had only nine months remaining to convince the people of Toronto, their government representatives, and presumably his parent company Alphabet, Inc., that Sidewalk Labs’ plan to construct “the first truly 21st-century city” on the Canadian city’s waterfront was a sound one. Along with much excitement and optimism, strains of concern had emerged since Doctoroff and partners first announced their intentions for a city “built from the internet up” in Toronto’s Quayside district. As Doctoroff prepared for yet another milestone in a year of planning and community engagement, it was almost certain that of the many questions headed his way, digital privacy would be among them….(More)”.

Building Better Cities with Civic Technology


Mapping by Kate Gasporro: “…The field of civic technology is relatively new. There are limited strategies to measure effectiveness of these tools. Scholars and practitioners are eager to communicate benefits, including improved efficiency and transparency. But, platforms and cities are having difficulty measuring the impacts of civic technology on infrastructure delivery. Even though civic technology platforms write case studies and provide anecdotal information to market their tools, this information does not communicate the challenges and failures that local governments face when implementing these new technologies. At the same time, the nascency of such tools means local governments are still trying to understand how to leverage and protect the enormous amount of data that civic technology tools acquire.

By mapping the landscape of civic technology, we can see more clearly how eParticipation is being used to address public service challenges, including infrastructure delivery. Although many scholars and practitioners have created independent categories for eParticipation, these categorization frameworks follow a similar pattern. At one end of the spectrum, eParticipation efforts provide public service information and relevant updates to citizens or allowing citizens to contact their officials in a unidirectional flow of information. At the other end, eParticipation efforts allow for deliberate democracy where citizens share decision-making with local government officials. Of the dozen categorization frameworks we found, we selected the most comprehensive one accepted by practitioners. This framework draws from public participation practices and identifies five categories:

  • eInforming: One-way communication providing online information to citizens (in the form of a website) or to government (via ePetitions)
  • eConsulting: Limited two-way communication where citizens can voice their opinions and provide feedback
  • eInvolving: Two-way communication where citizens go through an online process to capture public concerns
  • eCollaborating: Enhanced two-way communication that allows citizens to develop alternative solutions and identify the preferred solution, but decision making remains the government’s responsibility
  • eEmpowerment: Advanced two-way communication that allows citizens to influence and make decisions as co-producers of policies…

After surveying the civic technology space, we found 24 tools that use eParticipation for infrastructure delivery. We map these technologies according to their intended use phase in infrastructure delivery and type of eParticipation. The horizontal axis divides the space into the different infrastructure delivery phases and the vertical axis shows the five eParticipation categories. Together, we can see how civic technology is attempting to include citizens throughout infrastructure delivery. The majority of the civic technologies available operate as eInforming and eConsulting tools, allowing citizens to provide information to local governments about infrastructure issues. This information is then channeled into the project selection and prioritization process that occurs during the planning phase. A few technologies span multiple infrastructure phases because of their abilities to aggregate many eParticipation technologies to address the functions of each infrastructure phase. Based on this cursory map, we see that there are spaces in the infrastructure delivery process where there are only a few civic technologies. This is often because there are fewer opportunities to influence decision making during the later phases….

eParticipation chart

The field of civic technology is relatively new. There are limited strategies to measure effectiveness of these tools. Scholars and practitioners are eager to communicate benefits, including improved efficiency and transparency. But, platforms and cities are having difficulty measuring the impacts of civic technology on infrastructure delivery. Even though civic technology platforms write case studies and provide anecdotal information to market their tools, this information does not communicate the challenges and failures that local governments face when implementing these new technologies. At the same time, the nascency of such tools means local governments are still trying to understand how to leverage and protect the enormous amount of data that civic technology tools acquire…..(More)”