Stefaan Verhulst

Paper by Chris Reed and Irene YH Ng: “This paper is a response to the Singapore Personal Data Protection Commission consultation on a draft AI Governance Framework. It analyses the five data trust models proposed by the UK Open Data Institute and identifies that only the contractual and corporate models are likely to be legally suitable for achieving the aims of a data trust.

The paper further explains how data trusts might be used as in the governance of AI, and investigates the barriers which Singapore’s data protection law presents to the use of data trusts and how those barriers might be overcome. Its conclusion is that a mixed contractual/corporate model, with an element of regulatory oversight and audit to ensure consumer confidence that data is being used appropriately, could produce a useful AI governance tool…(More)”.

Ana Palacio at Project Syndicate: “These are difficult days for liberal democracy. But of all the threats that have arisen in recent years – populism, nationalism, illiberalism – one stands out as a key enabler of the rest: the proliferation and weaponization of disinformation.

The threat is not a new one. Governments, lobby groups, and other interests have long relied on disinformation as a tool of manipulation and control.

What is new is the ease with which disinformation can be produced and disseminated. Advances in technology allow for the increasingly seamless manipulation or fabrication of video and audio, while the pervasiveness of social media enables false information to be rapidly amplified among receptive audiences.

Beyond introducing falsehoods into public discourse, the spread of disinformation can undermine the possibility of discourse itself, by calling into question actual facts. This “truth decay” – apparent in the widespread rejection of experts and expertise – undermines the functioning of democratic systems, which depend on the electorate’s ability to make informed decisions about, say, climate policy or the prevention of communicable diseases.

The West has been slow to recognize the scale of this threat. It was only after the 2016 Brexit referendum and US presidential election that the power of disinformation to reshape politics began to attract attention. That recognition was reinforced in 2017, during the French presidential election and the illegal referendum on Catalan independence.

Now, systematic efforts to fight disinformation are underway. So far, the focus has been on tactical approaches, targeting the “supply side” of the problem: unmasking Russia-linked fake accounts, blocking disreputable sources, and adjusting algorithms to limit public exposure to false and misleading news. Europe has led the way in developing policy responses, such as soft guidelines for industry, national legislation, and strategic communications.

Such tactical actions – which can be implemented relatively easily and bring tangible results quickly – are a good start. But they are not nearly enough.

To some extent, Europe seems to recognize this. Early this month, the Atlantic Council organized #DisinfoWeek Europe, a series of strategic dialogues focused on the global challenge of disinformation. And more ambitious plans are already in the works, including French President Emmanuel Macron’s recently proposed European Agency for the Protection of Democracies, which would counter hostile manipulation campaigns.

But, as is so often the case in Europe, the gap between word and deed is vast, and it remains to be seen how all of this will be implemented and scaled up. In any case, even if such initiatives do get off the ground, they will not succeed unless they are accompanied by efforts that tackle the demand side of the problem: the factors that make liberal democratic societies today so susceptible to manipulation….(More)”.

Article by Harold DeMonaco, Pedro Oliveira, Andrew Torrance, Christiana von Hippel, and Eric von Hippel: “Patients are increasingly able to conceive and develop sophisticated medical devices and services to meet their own needs — often without any help from companies that produce or sell medical products. This “free” patient-driven innovation process enables them to benefit from important advances that are not commercially available. Patient innovation also can provide benefits to companies that produce and sell medical devices and services. For them, patient do-it-yourself efforts can be free R&D that informs and amplifies in-house development efforts.

In this article, we will look at two examples of free innovation in the medical field — one for managing type 1 diabetes and the other for managing Crohn’s disease. We will set these cases within the context of the broader free innovation movement that has been gaining momentum in an array of industries1 and apply the general lessons of free innovation to the specific circumstances of medical innovation by patients….

What is striking about both of these cases is that neither commercial medical producers nor the clinical care system offered a solution that these patients urgently needed. Motivated patients stepped forward to develop solutions for themselves, entirely without commercial support.4

Free innovation in the medical field follows the general pattern seen in many other areas, including crafts, sporting goods, home and garden equipment, pet products, and apparel.5 Enabled by technology, social media, and a keen desire to find solutions aligned with their own needs, consumers of all kinds are designing new products for themselves….(More)”

Ben Paynter at Fast Company: “…It’s an idea that’s hard to visualize unless you can see it on a map. So MIT Media Lab collaborated with the location intelligence firm Cuebiqto build one. The result is called the Atlas of Inequality and harvests the anonymized location data from 150,000 people who opted in to Cuebiq’s Data For Good Initiative to track their movement for scientific research purposes. After isolating the general area (based on downtime) where each subject lived, MIT Media Lab could estimate what income bracket they occupied. The group then used data from a six-month period between late 2016 and early 2017 to figure out where these people traveled, and how their paths overlapped.

The result is an interactive view of just how filtered, sheltered, or sequestered many people’s lives really are. That’s an important thing to be reminded of at a time when the U.S. feels increasingly ideologically and economically divided. “Economic inequality isn’t just limited to neighborhoods, it’s part of the places you visit every day,” the researchers say in a mission statement about the Atlas….(More)”.

About: “The Public Interest Technology Universities Network is a partnership that fosters collaboration between 21 universities and colleges committed to building the nascent field of public interest technology and growing a new generation of civic-minded technologists. Through the development of curricula, research agendas, and experiential learning programs in the public interest technology space, these universities are trying innovative tactics to produce graduates with multiple fluencies at the intersection of technology and policy. By joining PIT-UN, members commit to field building on campus. Members may choose to focus on some or all of these elements, in addition to other initiatives they deem relevant to establishing public interest technology on campus:

1. Support curriculum and faculty development to enable interdisciplinary and cross-disciplinary education of students, so they can critically assess the ethical, political, and societal implications of new technologies, and design technologies in service of the public good.
2. Develop experiential learning opportunities such as clinics, fellowships, apprenticeships, and internship, with public and private sector partners in the public interest technology space.
3. Find ways to support graduates who pursue careers working in public interest technology, recognizing that financial considerations may make careers in this area unaffordable to many.
4. Create mechanisms for faculty to receive recognition for the research, curriculum development, teaching, and service work needed to build public interest technology as an arena of inquiry.
5. Provide institutional data that will allow us to measure the effectiveness of our interventions in helping to develop the field of public interest technology….(More)”.

Book by Eric Topol: “Medicine has become inhuman, to disastrous effect. The doctor-patient relationship–the heart of medicine–is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved….(More)”.

Introduction by A.F. Winfield, K. Michael, J. Pitt, V. Evers of Special Issue of Proceedings of the IEEE: “…The primary focus of this special issue is machine ethics, that is the question of how autonomous systems can be imbued with ethical values. Ethical autonomous systems are needed because, inevitably, near future systems are moral agents; consider driverless cars, or medical diagnosis AIs, both of which will need to make choices with ethical consequences. This special issue includes papers that describe both implicit ethical agents, that is machines designed to avoid unethical outcomes, and explicit ethical agents: machines which either encode or learn ethics and determine actions based on those ethics. Of course ethical machines are socio-technical systems thus, as a secondary focus, this issue includes papers that explore the societal and regulatory implications of machine ethics, including the question of ethical governance. Ethical governance is needed in order to develop standards and processes that allow us to transparently and robustly assure the safety of ethical autonomous systems and hence build public trust and confidence….(More)?

Presentation by Constance Carr and Markus Hesse: “We want to address a discrepancy; that is, the discrepancy between processes and practices of technological development on one hand and/or production processes of urban change and urban problems on the other. There’s a gap here, that we can illustrate with the case of the so called“Google City”.

The scholarly literature on digital cities is quite clear that there are externalities, uncertainties and risks associated with the hype around, and the rash introduction of, ‘smartness’. To us, an old saying comes to mind: Don’t put the wagon before the horse.

Obviously, digitization and technology have revolutionized geography in many ways. And, this is nothing new. Roughly twenty years ago, with the rise of the Internet, some, such as MIT’s Bill Mitchell (1995), speculated that it and other ITs would eradicate space into the ‘City of Bits’. However, even back then statements like these didn’t go uncriticised by those who pointed at the inherent technological determinism and exposed that there is a complex relationship between urban development, urban planning, and technological innovation; that the relationship was neither new, nor trivial such that tech, itself, would automatically and necessarily be productive, beneficial, and central to cities.

What has changed is the proliferation of digital technologies and their applications. We agree with Ash et al. (2016) that geography has experienced a ‘digital turn’ where urban geography now produced by, through and of digitization. And, while digitalization of urbanity has provided benefits, it has also come sidelong a number of unsolved problems.

First, behind the production of big data, algorithms, and digital design, there are certain epistemologies – ways of knowing. Data is not value-free. Rather, data is an end product of political and associated methods of framing that structure the production of data. So, now that we “live in a present characterized by a […] diverse array of spatially-enabled digital devices, platforms, applications and services,” (Ash et al. 2016: 28), we can interrogate how these processes and algorithms are informed by socio-economic inequalities, because the risk is that new technologies will simply reproduce them.

Second, the circulation of data around the globe invokes questions about who owns and regulates them when stored and processed in remote geographic locations….(More)”.

Paper by Löfgren, Åsa & Nordblom, Katarina: “…we develop a theoretical model to clarify the underlying mechanisms that drive individual decision making and responses to behavioral interventions, such as nudges. The contribution of the paper is three-fold: First, the model provides a theoretical framework that comprehensively structures the individual decision-making process applicable to a wide range of choice situations. Second, we reduce the confusion regarding what should be called a nudge by offering a clear classification of behavioral interventions. We distinguish among what we label as pure nudges, preference nudges, and other behavioral interventions. Third, we identify the mechanisms behind the effectiveness of behavioral interventions based on the structured decision-making process. Hence, the model can be used to predict under which circumstances, and in which choice situations, a nudge is likely to be effective….(More)”

Introduction to Special Issue of Business and Society by Dirk Matten, Ronald Deibert & Mikkel Flyverbom: “The importance of digital technologies for social and economic developments and a growing focus on data collection and privacy concerns have made the Internet a salient and visible issue in global politics. Recent developments have increased the awareness that the current approach of governments and business to the governance of the Internet and the adjacent technological spaces raises a host of ethical issues. The significance and challenges of the digital age have been further accentuated by a string of highly exposed cases of surveillance and a growing concern about issues of privacy and the power of this new industry. This special issue explores what some have referred to as the “Internet-industrial complex”—the intersections between business, states, and other actors in the shaping, development, and governance of the Internet…(More)”.