Ray Eitel-Porter at AI and Ethics: “Artificial Intelligence (AI) applications can and do have unintended negative consequences for businesses if not implemented with care. Specifically, faulty or biased AI applications risk compliance and governance breaches and damage to the corporate brand. These issues commonly arise from a number of pitfalls associated with AI development, which include rushed development, a lack of technical understanding, and improper quality assurance, among other factors. To mitigate these risks, a growing number of organisations are working on ethical AI principles and frameworks. However, ethical AI principles alone are not sufficient for ensuring responsible AI use in enterprises. Businesses also require strong, mandated governance controls including tools for managing processes and creating associated audit trails to enforce their principles. Businesses that implement strong governance frameworks, overseen by an ethics board and strengthened with appropriate training, will reduce the risks associated with AI. When applied to AI modelling, the governance will also make it easier for businesses to bring their AI deployments to scale….(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 a Google Street View image of your house predicts your risk of a car accident
MIT Technology Review: “Google Street View has become a surprisingly useful way to learn about the world without stepping into it. People use it to plan journeys, to explore holiday destinations, and to virtually stalk friends and enemies alike.
But researchers have found more insidious uses. In 2017 a team of researchers used the images to study the distribution of car types in the US and then used that data to determine the demographic makeup of the country. It turns out that the car you drive is a surprisingly reliable proxy for your income level, your education, your occupation, and even the way you vote in elections.
Now a different group has gone even further. Łukasz Kidziński at Stanford University in California and Kinga Kita-Wojciechowska at the University of Warsaw in Poland have used Street View images of people’s houses to determine how likely they are to be involved in a car accident. That’s valuable information that an insurance company could use to set premiums.
The result raises important questions about the way personal information can leak from seemingly innocent data sets and whether organizations should be able to use it for commercial purposes.
Insurance data
The researchers’ method is straightforward. They began with a data set of 20,000 records of people who had taken out car insurance in Poland between 2013 and 2015. These were randomly selected from the database of an undisclosed insurance company.
Each record included the address of the policyholder and the number of damage claims he or she made during the 2013–’15 period. The insurer also shared its own prediction of future claims, calculated using its state-of-the-art risk model that takes into account the policyholder’s zip code and the driver’s age, sex, claim history, and so on.
The question that Kidziński and Kita-Wojciechowska investigated is whether they could make a more accurate prediction using a Google Street View image of the policyholder’s house….(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)”.
Better Data Visualizations
“A Guide for Scholars, Researchers, and Wonks” by Jonathan Schwabish: “Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually.
This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message….(More)”.
Economic complexity theory and applications
Paper by César A. Hidalgo: “Economic complexity methods have become popular tools in economic geography, international development and innovation studies. Here, I review economic complexity theory and applications, with a particular focus on two streams of literature: the literature on relatedness, which focuses on the evolution of specialization patterns, and the literature on metrics of economic complexity, which uses dimensionality reduction techniques to create metrics of economic sophistication that are predictive of variations in income, economic growth, emissions and income inequality….(More)”.
This is how we lost control of our faces
Karen Hao at MIT Technology Review: “In 1964, mathematician and computer scientist Woodrow Bledsoe first attempted the task of matching suspects’ faces to mugshots. He measured out the distances between different facial features in printed photographs and fed them into a computer program. His rudimentary successes would set off decades of research into teaching machines to recognize human faces.
Now a new study shows just how much this enterprise has eroded our privacy. It hasn’t just fueled an increasingly powerful tool of surveillance. The latest generation of deep-learning-based facial recognition has completely disrupted our norms of consent.
Deborah Raji, a fellow at nonprofit Mozilla, and Genevieve Fried, who advises members of the US Congress on algorithmic accountability, examined over 130 facial-recognition data sets compiled over 43 years. They found that researchers, driven by the exploding data requirements of deep learning, gradually abandoned asking for people’s consent. This has led more and more of people’s personal photos to be incorporated into systems of surveillance without their knowledge.
It has also led to far messier data sets: they may unintentionally include photos of minors, use racist and sexist labels, or have inconsistent quality and lighting. The trend could help explain the growing number of cases in which facial-recognition systems have failed with troubling consequences, such as the false arrests of two Black men in the Detroit area last year.
People were extremely cautious about collecting, documenting, and verifying face data in the early days, says Raji. “Now we don’t care anymore. All of that has been abandoned,” she says. “You just can’t keep track of a million faces. After a certain point, you can’t even pretend that you have control.”…(More)”.
Mechanisms of power inscription into IT governance: Lessons from two national digital identity systems
Paper by Rony Medaglia, Ben Eaton, Jonas Hedman, and Edgar A. Whitley: “Establishing IT governance arrangements is a deeply political process, where relationships of power play a crucial role. While the importance of power relationships is widely acknowledged in IS literature, specific mechanisms whereby the consequences of power relationships affect IT governance arrangements are still under‐researched. This study investigates the way power relationships are inscribed in the governance of digital identity systems in Denmark and the United Kingdom, where public and private actors are involved. Drawing on the theoretical lens of circuits of power, we contribute to research on the role of power in IT governance by identifying two distinct mechanisms of power inscription into IT governance: power cultivation and power limitation….(More)“.