A Hippocratic Oath for Technologists


Chapter by Ali Abbas, Max Senges and Ronald A. Howard in “Next Generation Ethics: Engineering a Better Society” (2018): “…presents an ethical creed, which we refer to as the Hippocratic Oath for Technologists. The creed is built on three fundamental pillars: proactively understanding the ethical implications of technology for all stakeholders, telling the truth about the capabilities, advantages, and disadvantages of a technology, and acting responsibly in situations you find morally challenging.

The oath may be taken by students at Universities after understanding its basic definitions and implications, and it may also be discussed with technology firms and human resources departments to provide the necessary support and understanding for their employees who wish to abide by the norms of this oath. This work lays the foundations for the arguments and requirements of a unified movement, as well as a forum for signing up for the oath to enable its wide-spread dissemination….(More)”.

Advancing Open Data for Open Governance in Asia


Paper by Michael P. Cañares: “The record of countries in the region in terms of transparency and accountability is dismal. In the latest Corruption Perceptions Index released by Transparency International, more than half of the country in the region scored below 50, with at least a quarter of these are countries considered with systemic corruption problems. Nevertheless, there have been significant attempts of several countries to install transparency measures and project a commitment towards greater openness. At least a dozen of countries has right to information laws that provide citizens’ fundamental access to government information and several have installed open data policies and are implementing e-government programs or practices. But access of citizens to data and information to hold governments to account, demand for better services, and strengthen citizen participation in governance remain elusive.

The Open Government Partnership (OGP) is a multilateral initiative that aims to secure concrete commitments from governments to promote transparency, empower citizens, fight corruption, and harness new technologies to strengthen governance. OGP’s vision is that more governments become more transparent, more accountable, and more responsive to their own citizens, with the goal of improving the quality of governance, as well as the quality of services that citizens receive. Since its inception in 2011, OGP today brings together 75 countries and 15 subnational governments with over 2,500 commitments to make their governments more open and accountable. In Asia, only the governments of Indonesia, the Philippines, and South Korea are participating countries along with two subnational pilots, Seoul and Bojonegoro. These governments have launched initiatives to involve citizens in the planning and budgeting processes, proactively disclose budget and other public financial information, and engage citizens in monitoring of public service delivery. But these countries remain the exception rather than the norm….(More)”.

What difference does data make? Data management and social change


Paper by Morgan E. Currie and Joan M. Donovan: “The purpose of this paper is to expand on emergent data activism literature to draw distinctions between different types of data management practices undertaken by groups of data activists.

The authors offer three case studies that illuminate the data management strategies of these groups. Each group discussed in the case studies is devoted to representing a contentious political issue through data, but their data management practices differ in meaningful ways. The project Making Sense produces their own data on pollution in Kosovo. Fatal Encounters collects “missing data” on police homicides in the USA. The Environmental Data Governance Initiative hopes to keep vulnerable US data on climate change and environmental injustices in the public domain.

In analysing our three case studies, the authors surface how temporal dimensions, geographic scale and sociotechnical politics influence their differing data management strategies….(More)”.

Giving Voice to Patients: Developing a Discussion Method to Involve Patients in Translational Research


Paper by Marianne Boenink, Lieke van der Scheer, Elisa Garcia and Simone van der Burg in NanoEthics: “Biomedical research policy in recent years has often tried to make such research more ‘translational’, aiming to facilitate the transfer of insights from research and development (R&D) to health care for the benefit of future users. Involving patients in deliberations about and design of biomedical research may increase the quality of R&D and of resulting innovations and thus contribute to translation. However, patient involvement in biomedical research is not an easy feat. This paper discusses the development of a method for involving patients in (translational) biomedical research aiming to address its main challenges.

After reviewing the potential challenges of patient involvement, we formulate three requirements for any method to meaningfully involve patients in (translational) biomedical research. It should enable patients (1) to put forward their experiential knowledge, (2) to develop a rich view of what an envisioned innovation might look like and do, and (3) to connect their experiential knowledge with the envisioned innovation. We then describe how we developed the card-based discussion method ‘Voice of patients’, and discuss to what extent the method, when used in four focus groups, satisfied these requirements. We conclude that the method is quite successful in mobilising patients’ experiential knowledge, in stimulating their imaginaries of the innovation under discussion and to some extent also in connecting these two. More work is needed to translate patients’ considerations into recommendations relevant to researchers’ activities. It also seems wise to broaden the audience for patients’ considerations to other actors working on a specific innovation….(More)”

Explaining Explanations in AI


Paper by Brent Mittelstadt Chris Russell and Sandra Wachter: “Recent work on interpretability in machine learning and AI has focused on the building of simplified models that approximate the true criteria used to make decisions. These models are a useful pedagogical device for teaching trained professionals how to predict what decisions will be made by the complex system, and most importantly how the system might break. However, when considering any such model it’s important to remember Box’s maxim that “All models are wrong but some are useful.”

We focus on the distinction between these models and explanations in philosophy and sociology. These models can be understood as a “do it yourself kit” for explanations, allowing a practitioner to directly answer “what if questions” or generate contrastive explanations without external assistance. Although a valuable ability, giving these models as explanations appears more difficult than necessary, and other forms of explanation may not have the same trade-offs. We contrast the different schools of thought on what makes an explanation, and suggest that machine learning might benefit from viewing the problem more broadly… (More)”.

The soft spot of hard code: blockchain technology, network governance and pitfalls of technological utopianism


Moritz Hutten at Global Networks: “The emerging blockchain technology is expected to contribute to the transformation of ownership, government services and global supply chains. By analysing a crisis that occurred with one of its frontrunners, Ethereum, in this article I explore the discrepancies between the purported governance of blockchains and the de facto control of them through expertise and reputation. Ethereum is also thought to exemplify libertarian techno‐utopianism.

When ‘The DAO’, a highly publicized but faulty crowd‐funded venture fund was deployed on the Ethereum blockchain, the techno‐utopianism was suspended, and developers fell back on strong network ties. Now that the blockchain technology is seeing an increasing uptake, I shall also seek to unearth broader implications of the blockchain for the proliferation or blockage of global finance and beyond. Contrasting claims about the disruptive nature of the technology, in this article I show that, by redeeming the positive utopia of ontic, individualized debt, blockchains reinforce our belief in a crisis‐ridden, financialized capitalism….(More)”.

Crowdlaw: Collective Intelligence and Lawmaking


Paper by Beth Noveck in Analyse & Kritik: “To tackle the fast-moving challenges of our age, law and policymaking must become more flexible, evolutionary and agile. Thus, in this Essay we examine ‘crowdlaw’, namely how city councils at the local level and parliaments at the regional and national level are turning to technology to engage with citizens at every stage of the law and policymaking process.

As we hope to demonstrate, crowdlaw holds the promise of improving the quality and effectiveness of outcomes by enabling policymakers to interact with a broader public using methods designed to serve the needs of both institutions and individuals. crowdlaw is less a prescription for more deliberation to ensure greater procedural legitimacy by having better inputs into lawmaking processes than a practical demand for more collaborative approaches to problem-solving that yield better outputs, namely policies that achieve their intended aims. However, as we shall explore, the projects that most enhance the epistemic quality of lawmaking are those that are designed to meet the specific informational needs for that stage of problem-solving….(More)”,

Big Data Ethics and Politics: Toward New Understandings


Introductory paper by Wenhong Chen and Anabel Quan-Haase of Special Issue of the Social Science Computer Review:  “The hype around big data does not seem to abate nor do the scandals. Privacy breaches in the collection, use, and sharing of big data have affected all the major tech players, be it Facebook, Google, Apple, or Uber, and go beyond the corporate world including governments, municipalities, and educational and health institutions. What has come to light is that enabled by the rapid growth of social media and mobile apps, various stakeholders collect and use large amounts of data, disregarding the ethics and politics.

As big data touch on many realms of daily life and have profound impacts in the social world, the scrutiny around big data practice becomes increasingly relevant. This special issue investigates the ethics and politics of big data using a wide range of theoretical and methodological approaches. Together, the articles provide new understandings of the many dimensions of big data ethics and politics, showing it is important to understand and increase awareness of the biases and limitations inherent in big data analysis and practices….(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)”.

Artificial Intelligence: Risks to Privacy and Democracy


Karl Manheim and Lyric Kaplan at Yale Journal of Law and Technology: “A “Democracy Index” is published annually by the Economist. For 2017, it reported that half of the world’s countries scored lower than the previous year. This included the United States, which was demoted from “full democracy” to “flawed democracy.” The principal factor was “erosion of confidence in government and public institutions.” Interference by Russia and voter manipulation by Cambridge Analytica in the 2016 presidential election played a large part in that public disaffection.

Threats of these kinds will continue, fueled by growing deployment of artificial intelligence (AI) tools to manipulate the preconditions and levers of democracy. Equally destructive is AI’s threat to decisional andinforma-tional privacy. AI is the engine behind Big Data Analytics and the Internet of Things. While conferring some consumer benefit, their principal function at present is to capture personal information, create detailed behavioral profiles and sell us goods and agendas. Privacy, anonymity and autonomy are the main casualties of AI’s ability to manipulate choices in economic and political decisions.

The way forward requires greater attention to these risks at the nation-al level, and attendant regulation. In its absence, technology giants, all of whom are heavily investing in and profiting from AI, will dominate not only the public discourse, but also the future of our core values and democratic institutions….(More)”.