AI Ethics Needs Good Data


Paper by Angela Daly, S Kate Devitt, and Monique Mann: “In this chapter we argue that discourses on AI must transcend the language of ‘ethics’ and engage with power and political economy in order to constitute ‘Good Data’. In particular, we must move beyond the depoliticised language of ‘ethics’ currently deployed (Wagner 2018) in determining whether AI is ‘good’ given the limitations of ethics as a frame through which AI issues can be viewed. In order to circumvent these limits, we use instead the language and conceptualisation of ‘Good Data’, as a more expansive term to elucidate the values, rights and interests at stake when it comes to AI’s development and deployment, as well as that of other digital technologies.

Good Data considerations move beyond recurring themes of data protection/privacy and the FAT (fairness, transparency and accountability) movement to include explicit political economy critiques of power. Instead of yet more ethics principles (that tend to say the same or similar things anyway), we offer four ‘pillars’ on which Good Data AI can be built: community, rights, usability and politics. Overall we view AI’s ‘goodness’ as an explicly political (economy) question of power and one which is always related to the degree which AI is created and used to increase the wellbeing of society and especially to increase the power of the most marginalized and disenfranchised. We offer recommendations and remedies towards implementing ‘better’ approaches towards AI. Our strategies enable a different (but complementary) kind of evaluation of AI as part of the broader socio-technical systems in which AI is built and deployed….(More)”.

A new intelligence paradigm: how the emerging use of technology can achieve sustainable development (if done responsibly)


Peter Addo and Stefaan G. Verhulst in The Conversation: “….This month, the GovLab and the French Development Agency (AFD) released a report looking at precisely these possibilities. “Emerging Uses of Technology for Development: A New Intelligence Paradigm” examines how development practitioners are experimenting with emerging forms of technology to advance development goals. It considers when practitioners might turn to these tools and provides some recommendations to guide their application.

Broadly, the report concludes that experiments with new technologies in development have produced value and offer opportunities for progress. These technologies – which include data intelligence, artificial intelligence, collective intelligence, and embodied intelligence tools – are associated with different prospective benefits and risks. It is essential they be informed by design principles and practical considerations.

Four intelligences

The report derives its conclusions from an analysis of dozens of projects around Africa, including Senegal, Tanzania, Uganda. Linking practice and theory, this approach allows us to construct a conceptual framework that helps development practitioners allocate resources and make key decisions based on their specific circumstances. We call this framework the “four intelligences” paradigm; it offers a way to make sense of how new and emerging technologies intersect with the development field….(More)” (Full Report).

Author provided, CC BY

Citizen Scientists Are Filling Research Gaps Created by the Pandemic


Article by  Theresa Crimmins, Erin Posthumus, and Kathleen Prudic: “The rapid spread of COVID-19 in 2020 disrupted field research and environmental monitoring efforts worldwide. Travel restrictions and social distancing forced scientists to cancel studies or pause their work for months. These limits measurably reduced the accuracy of weather forecasts and created data gaps on issues ranging from bird migration to civil rights in U.S. public schools.

Our work relies on this kind of information to track seasonal events in nature and understand how climate change is affecting them. We also recruit and train citizens for community science – projects that involve amateur or volunteer scientists in scientific research, also known as citizen science. This often involves collecting observations of phenomena such as plants and animalsdaily rainfall totalswater quality or asteroids.

Participation in many community science programs has skyrocketed during COVID-19 lockdowns, with some programs reporting record numbers of contributors. We believe these efforts can help to offset data losses from the shutdown of formal monitoring activities….(More)”.

Data Responsibility in Humanitarian Action


InterAgency Standing Committee: “Data responsibility in humanitarian action is the safe, ethical and effective management of personal and non-personal data for operational response. It is a critical issue for the humanitarian system to address and the stakes are high. Ensuring we ‘do no harm’ while maximizing the benefits of data requires collective action that extends across all levels of the humanitarian system. Humanitarians must be careful when handling data to avoid placing already vulnerable individuals and communities at further risk. This is especially important in contexts where the urgency of humanitarian needs drives pressure for fast, sometimes untested, data solutions, and the politicization of data can have more extreme consequences for people. 

The implementation of data responsibility in practice is often inconsistent within and across humanitarian response contexts. This is true despite established principles, norms and professional standards regarding respect for the rights of affected populations; the range of resources on data responsibility available in the wider international data community; as well as significant efforts by many humanitarian organizations to develop and update their policies and guidance in this area. However, given that the humanitarian data ecosystem is inherently interconnected, no individual organization can tackle all these challenges alone. 

This system-wide Operational Guidance, which is a first, will ensure concrete steps for data responsibility in all phases of humanitarian action. It is the result of an inclusive and consultative process, involving more than 250 stakeholders from the humanitarian sector. Partners across the system will implement these guidelines in accordance with their respective mandates and the decisions of their governing bodies….(More)”

The Legal Limits of Direct Democracy


Book edited by Daniel Moeckli, Anna Forgács, and Henri Ibi: “With the rise of direct-democratic instruments, the relationship between popular sovereignty and the rule of law is set to become one of the defining political issues of our time. This important and timely book provides an in-depth analysis of the limits imposed on referendums and citizens’ initiatives, as well as of systems of reviewing compliance with these limits, in 11 European states.

Chapters explore and lay the scientific basis for answering crucial questions such as ‘Where should the legal limits of direct democracy be drawn?’ and ‘Who should review compliance with these limits?’ Providing a comparative analysis of the different issues in the selected countries, the book draws out key similarities and differences, as well as an assessment of the law and the practice at national levels when judged against the international standards contained in the Venice Commission’s Guidelines on the Holding of Referendums.

Presenting an up-to-date analysis of the relationship between popular sovereignty and the rule of law, The Legal Limits of Direct Democracy will be a key resource for scholars and students in comparative and constitutional law and political science. It will also be beneficial to policy-makers and practitioners in parliaments, governments and election commissions, and experts working for international organisations….(More)”.

Tracking COVID-19 using online search


Paper by Vasileios Lampos et al: “Previous research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour. In this work we use time series of online search query frequencies to gain insights about the prevalence of COVID-19 in multiple countries. We first develop unsupervised modelling techniques based on associated symptom categories identified by the United Kingdom’s National Health Service and Public Health England. We then attempt to minimise an expected bias in these signals caused by public interest—as opposed to infections—using the proportion of news media coverage devoted to COVID-19 as a proxy indicator. Our analysis indicates that models based on online searches precede the reported confirmed cases and deaths by 16.7 (10.2–23.2) and 22.1 (17.4–26.9) days, respectively. We also investigate transfer learning techniques for mapping supervised models from countries where the spread of the disease has progressed extensively to countries that are in earlier phases of their respective epidemic curves. Furthermore, we compare time series of online search activity against confirmed COVID-19 cases or deaths jointly across multiple countries, uncovering interesting querying patterns, including the finding that rarer symptoms are better predictors than common ones. Finally, we show that web searches improve the short-term forecasting accuracy of autoregressive models for COVID-19 deaths. Our work provides evidence that online search data can be used to develop complementary public health surveillance methods to help inform the COVID-19 response in conjunction with more established approaches….(More)”.

Politics and Open Science: How the European Open Science Cloud Became Reality (the Untold Story)


Jean-Claude Burgelman at Data Intelligence: “This article will document how the European Open Science Cloud (EOSC) emerged as one of the key policy intentions to foster Open Science (OS) in Europe. It will describe some of the typical, non-rational roadblocks on the way to implement EOSC. The article will also argue that the only way Europe can take care of its research data in a way that fits the European specificities fully, is by supporting EOSC.

It is fair to say—note the word FAIR here—that realizing the European Open Science Cloud (EOSC) is now part and parcel of the European Data Science (DS) policy. In particular since EOSC will be from 2021 in the hands of the independent EOSC Association and thus potentially way out of the so-called “Brussels Bubble”.

This article will document the whole story of how EOSC emerged in this “bubble” as one of the policy intentions to foster Open Science (OS) in Europe. In addition, it will describe some of the typical, non-rational roadblocks on the way to implement EOSC. The article will also argue that the only way Europe can take care of its research data in a way that fits the European specificities fully, is by supporting EOSC….(More)”

The Janus Face of the Liberal International Information Order: When Global Institutions Are Self-Undermining


Paper by Henry Farrell and Abraham L. Newman: “Scholars and policymakers long believed that norms of global information openness and private-sector governance helped to sustain and promote liberalism. These norms are being increasingly contested within liberal democracies. In this article, we argue that a key source of debate over the Liberal International Information Order (LIIO), a sub-order of the Liberal International Order (LIO), is generated internally by “self-undermining feedback effects,” that is, mechanisms through which institutional arrangements undermine their own political conditions of survival over time. Empirically, we demonstrate how global governance of the Internet, transnational disinformation campaigns, and domestic information governance interact to sow the seeds of this contention. In particular, illiberal states converted norms of openness into a vector of attack, unsettling political bargains in liberal states concerning the LIIO. More generally, we set out a broader research agenda to show how the international relations discipline might better understand institutional change as well as the informational aspects of the current crisis in the LIO….(More)”

How public should science be?


Discussion Report by Edel, A., Kübler: “Since the outbreak of the COVID-19 pandemic, the question of what role science should play in political discourse has moved into the focus of public interest with unprecedented vehemence. In addition to governments directly consulting individual virologists or (epidemiological) research institutes, major scientific institutions such as the German National Academy of Sciences Leopoldina1 and the presidents of four non-university research organisations have actively participated in the discussion by providing recommendations. More than ever before, scientific problem descriptions, data and evaluations are influencing political measures. It seems as if the relationship between science, politics and the public is currently being reassessed.

The current crisis situation has not created a new phenomenon but has only reinforced the trend of mutual reliance between science, politics and the public, which has been observed for some time. Decision-makers in the political arena and in business were already looking for ways to better substantiate and legitimise their decisions through external scientific expertise when faced with major societal challenges, for example when trying to deal with increasing immigration, climate protection and when preparing for far-reaching reforms (e.g. of the labour market or the pension system) or in economic crises. Research is also held in high esteem within society. The special edition of the ‘Science Barometer’ was able to demonstrate in the surveys an increased trust in science in the case of the current COVID-19 pandemic. Conversely, scientists have always been and continue to be active in the public sphere. For some time now, research experts have frequently been guests on talk shows. Authors from the field of science often write opinion pieces and guest contributions in daily newspapers and magazines. However, this role of research is by no means un-controversial….(More)”.

The Role of the Private Sector in Protecting Civic Space


Chatham House Report by Bennett Freeman, Harriet Moynihan and Thiago Alves Pinto: “Robust civic space is essential for good governance, the rule of law and for enabling citizens to shape their societies. However, civil society space around the world is under significant pressure and the COVID-19 pandemic has exacerbated this situation.

The weakening of international institutions and democratic norms worldwide has resulted in fewer constraints on autocracies. Meanwhile, the rise of nationalism, populism and illiberalism is taking its toll on civil liberties.

The private sector is in a unique position to work with civil society organizations to uphold and defend civic freedoms and support sustainable and profitable business environments. Companies have the capacity, resources and expertise to enhance the protection of civic space….(More)”.