How does a computer ‘see’ gender?

Curated on Posted on by Stefaan Verhulst

Pew Research Center: “Machine vision tools like facial recognition are increasingly being used for law enforcement, advertising, and other purposes. Pew Research Center itself recently used a machine vision system to measure the prevalence of men and women in online image search results. This kind of system develops its own rules for identifying men and women after seeing thousands of example images, but these rules can be hard for to humans to discern. To better understand how this works, we showed images of the Center’s staff members to a trained machine vision system similar to the one we used to classify image searches. We then systematically obscured sections of each image to see which parts of the face caused the system to change its decision about the gender of the person pictured. Some of the results seemed intuitive, others baffling. In this interactive challenge, see if you can guess what makes the system change its decision.

Here’s how it works:…(More)”.

Radical visions of future government

Curated on Posted on by Stefaan Verhulst

Nesta Report: “Is government fit for purpose? Evaporating public trust in democracy and political institutions, a broken social contract, lack of money and stale ideas mean it feels increasingly difficult to answer that question in the affirmative. It is this fear – that government and our public services are no longer up to the job – that inspired us to launch an open call, seeking radical visions of future government.

We wanted a serious rethink about what government is, what it should do, and how it should work. Radical Visions of Future Government is the culmination of that work, presenting 17 visions of the future of government. The collection features essays, provocations, thought experiments, fiction, speculative design and original art, with each one asking the reader to consider the implications of an idea about something fundamentally different in the future.

While written from a British context, combinations of these issues have a resonance in governments around the world. We chose the year 2030 as the setting for these visions: near enough to be imaginable, far enough away for radical change to actually be contemplated.

The collection is not intended to set out exclusively desirable or optimistic futures, but instead to stimulate thinking about a spectrum of possibilities. As one essay in the collection argues, it is better to think about the future than not; that in itself is democratising. It would be very surprising if a reader agreed with all of them. Nor are any of them a reflection of a Nesta view. But we think they are useful energisers, and we hope that any reader will come away with a sharpened sense of what might be possible and where we should set our sights for 2030.

The contributions come from a range of voices – researchers, artists, designers, academics, writers and public servants – each with a different perspective on what needs to change about government….(More)”.

Big Data, Political Campaigning and the Law

Curated on Posted on by Stefaan Verhulst

Book edited by Normann Witzleb, Moira Paterson, and Janice Richardson on “Democracy and Privacy in the Age of Micro-Targeting”…: “In this multidisciplinary book, experts from around the globe examine how data-driven political campaigning works, what challenges it poses for personal privacy and democracy, and how emerging practices should be regulated.

The rise of big data analytics in the political process has triggered official investigations in many countries around the world, and become the subject of broad and intense debate. Political parties increasingly rely on data analytics to profile the electorate and to target specific voter groups with individualised messages based on their demographic attributes. Political micro-targeting has become a major factor in modern campaigning, because of its potential to influence opinions, to mobilise supporters and to get out votes. The book explores the legal, philosophical and political dimensions of big data analytics in the electoral process. It demonstrates that the unregulated use of big personal data for political purposes not only infringes voters’ privacy rights, but also has the potential to jeopardise the future of the democratic process, and proposes reforms to address the key regulatory and ethical questions arising from the mining, use and storage of massive amounts of voter data.

Providing an interdisciplinary assessment of the use and regulation of big data in the political process, this book will appeal to scholars from law, political science, political philosophy, and media studies, policy makers and anyone who cares about democracy in the age of data-driven political campaigning….(More)”.

Administrative Reform and the Quest for Openness: A Popperian Review of Open Government

Curated on Posted on by Stefaan Verhulst

Paper by Alex Ingrams: “Scholars and policymakers claim open government offers a panoply of good governance benefits, but it also risks political abuse as window dressing or a smokescreen. To address this risk, this article builds on the meaning of openness through an examination of closed and open society in Karl Popper’s theory. Four historic trends in open government reform are analyzed. The findings suggest a need for new attention to Popperian notions of the social technologist’s piecemeal change and mechanical engineering aimed at serious policy problems. Without appreciation of these open society linkages, open governments will continue to paradoxically co-exist alongside closed societies…(More)”.

Examining Civic Engagement Links to Health

Curated on Posted on by Stefaan Verhulst

Findings from the Literature and Implications for a Culture of Health by the Rand Corporation: “The Robert Wood Johnson Foundation (RWJF) is leading a pioneering effort to advance a culture of health that “enables all in our diverse society to lead healthier lives, now and for generations to come.” The RWJF Culture of Health Action Framework is divided into four Action Areas, and civic engagement (which RWJF defines broadly as participating in activities that advance the public good) is identified as one of the three drivers for the Action Area, Making Health a Shared Value, along with mindset and expectations, and sense of community. Civic engagement can serve as a mechanism for translating changes in a health-related mindset and sense of community into tangible actions that could lead to new health-promoting partnerships, improvements in community health conditions, and the degree of integration among health services and systems for better health outcomes.

The authors of this report seek a closer focus on the causal relationship between civic engagement and health and well-being — that is, whether better health and well-being might promote more civic engagement, whether civic engagement might promote health or well-being, or perhaps both.

In this report, authors conduct a structured review to understand what the scientific literature presents about the empirical relationship between health and civic engagement. The authors specifically examine whether health is a cause of civic engagement, a consequence of it, or both; what causal mechanisms underlie this link; and where there are gaps in knowledge for the field….(More)”

The Social Afterlife

Curated on Posted on by Stefaan Verhulst

Paper by Andrew Gilden: “Death is not what it used to be. With the rise of social media and advances in digital technology, postmortem decision-making increasingly involves difficult questions about the ongoing social presence of the deceased. Should a Twitter account keep tweeting? Should a YouTube singer keep singing? Should Tinder photos be swiped left for the very last time? The traditional touchstones of effective estate planning — reducing transaction costs and maximizing estate value — do little to guide this new social afterlife. Managing a person’s legacy has shifted away from questions of financial investment and asset management to questions of emotional and cultural stewardship. This Article brings together the diverse areas of law that shape a person’s legacy and develops a new framework for addressing the evolving challenges of legacy stewardship

This Article makes two main contributions. First, it identifies and critically examines the four models of stewardship that currently structure the laws of legacy: (1) the “freedom of disposition” model dominant in the laws of wills and trusts, (2) the “family inheritance” model dominant in copyright law, (3) the “public domain” model dominant in many states’ publicity rights laws, and (4) the “consumer contract” model dominant in over forty states’ new digital assets laws. Second, this Article develops a new stewardship model, which it calls the “decentered decedent.” The decentered decedent model recognizes that individuals occupy heterogenous social contexts, and it channels postmortem decision-making into each of those contexts. Unlike existing stewardship models, this new model does not try to centralize stewardship decisions in any one stakeholder — the family, the public, the market, or even the decedent themselves. Instead, the decentered decedent model distributes stewardship across the diverse, dispersed communities that we all leave behind….(More)”.

AI Global Surveillance Technology

Curated on Posted on by Stefaan Verhulst

Carnegie Endowment: “Artificial intelligence (AI) technology is rapidly proliferating around the world. A growing number of states are deploying advanced AI surveillance tools to monitor, track, and surveil citizens to accomplish a range of policy objectives—some lawful, others that violate human rights, and many of which fall into a murky middle ground.

In order to appropriately address the effects of this technology, it is important to first understand where these tools are being deployed and how they are being used.

To provide greater clarity, Carnegie presents an AI Global Surveillance (AIGS) Index—representing one of the first research efforts of its kind. The index compiles empirical data on AI surveillance use for 176 countries around the world. It does not distinguish between legitimate and unlawful uses of AI surveillance. Rather, the purpose of the research is to show how new surveillance capabilities are transforming the ability of governments to monitor and track individuals or systems. It specifically asks:

  • Which countries are adopting AI surveillance technology?
  • What specific types of AI surveillance are governments deploying?
  • Which countries and companies are supplying this technology?

Learn more about our findings and how AI surveillance technology is spreading rapidly around the globe….(More)”.

Real-time flu tracking. By monitoring social media, scientists can monitor outbreaks as they happen.

Curated on Posted on by Stefaan Verhulst

Charles Schmidt at Nature: “Conventional influenza surveillance describes outbreaks of flu that have already happened. It is based on reports from doctors, and produces data that take weeks to process — often leaving the health authorities to chase the virus around, rather than get on top of it.

But every day, thousands of unwell people pour details of their symptoms and, perhaps unknowingly, locations into search engines and social media, creating a trove of real-time flu data. If such data could be used to monitor flu outbreaks as they happen and to make accurate predictions about its spread, that could transform public-health surveillance.

Powerful computational tools such as machine learning and a growing diversity of data streams — not just search queries and social media, but also cloud-based electronic health records and human mobility patterns inferred from census information — are making it increasingly possible to monitor the spread of flu through the population by following its digital signal. Now, models that track flu in real time and forecast flu trends are making inroads into public-health practice.

“We’re becoming much more comfortable with how these models perform,” says Matthew Biggerstaff, an epidemiologist who works on flu preparedness at the US Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia.

In 2013–14, the CDC launched the FluSight Network, a website informed by digital modelling that predicts the timing, peak and short-term intensity of the flu season in ten regions of the United States and across the whole country. According to Biggerstaff, flu forecasting helps responders to plan ahead, so they can be ready with vaccinations and communication strategies to limit the effects of the virus. Encouraged by progress in the field, the CDC announced in January 2019 that it will spend US$17.5 million to create a network of influenza-forecasting centres of excellence, each tasked with improving the accuracy and communication of real-time forecasts.

The CDC is leading the way on digital flu surveillance, but health agencies elsewhere are following suit. “We’ve been working to develop and apply these models with collaborators using a range of data sources,” says Richard Pebody, a consultant epidemiologist at Public Health England in London. The capacity to predict flu trajectories two to three weeks in advance, Pebody says, “will be very valuable for health-service planning.”…(More)”.

The Internet Relies on People Working for Free

Curated on Posted on by Stefaan Verhulst

Owen Williams at OneZero: “When you buy a product like Philips Hue’s smart lights or an iPhone, you probably assume the people who wrote their code are being paid. While that’s true for those who directly author a product’s software, virtually every tech company also relies on thousands of bits of free code, made available through “open-source” projects on sites like GitHub and GitLab.

Often these developers are happy to work for free. Writing open-source software allows them to sharpen their skills, gain perspectives from the community, or simply help the industry by making innovations available at no cost. According to Google, which maintains hundreds of open-source projects, open source “enables and encourages collaboration and the development of technology, solving real-world problems.”

But when software used by millions of people is maintained by a community of people, or a single person, all on a volunteer basis, sometimes things can go horribly wrong. The catastrophic Heartbleed bug of 2014, which compromised the security of hundreds of millions of sites, was caused by a problem in an open-source library called OpenSSL, which relied on a single full-time developer not making a mistake as they updated and changed that code, used by millions. Other times, developers grow bored and abandon their projects, which can be breached while they aren’t paying attention.

It’s hard to demand that programmers who are working for free troubleshoot problems or continue to maintain software that they’ve lost interest in for whatever reason — though some companies certainly try. Not adequately maintaining these projects, on the other hand, makes the entire tech ecosystem weaker. So some open-source programmers are asking companies to pay, not for their code, but for their support services….(More)”.

Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence

Curated on Posted on by Stefaan Verhulst

Paper by Jonas Traub et al: “Data science and artificial intelligence are driven by a plethora of diverse data-related assets including datasets, data streams, algorithms, processing software, compute resources, and domain knowledge. As providing all these assets requires a huge investment, data sciences and artificial intelligence are currently dominated by a small number of providers who can afford these investments. In this paper, we present a vision of a data ecosystem to democratize data science and artificial intelligence. In particular, we envision a data infrastructure for fine-grained asset exchange in combination with scalable systems operation. This will overcome lock-in effects and remove entry barriers for new asset providers. Our goal is to enable companies, research organizations, and individuals to have equal access to data, data science, and artificial intelligence. Such an open ecosystem has recently been put on the agenda of several governments and industrial associations. We point out the requirements and the research challenges as well as outline an initial data infrastructure architecture for building such a data ecosystem…(More)”.