The Design of Digital Democracy

Curated on Posted on by Stefaan Verhulst

Book by Gianluca Sgueo: “Ever-stronger ties between technology, entertainment and design are transforming our relationship with democratic decision-making. When we are online, or when we use digital products and services, we tend to focus more on certain factors like speed of service and user-friendliness, and to overlook the costs – both for ourselves and others. As a result, a widening gap separates our expectations of everything related to digitalization – including government – and the actual practice of democratic governance. Democratic regulators, unable to meet citizens’ demands for tangible, fast and gratifying returns, are seeing the poorest results ever recorded in terms of interest, engagement and retention, despite using the most cutting-edge technologies.

This book explores various aspects of the relationship between democracy, technology and entertainment. These include, on the one hand, the role that digital technology has in strengthening our collective intelligence, nurturing empathic relations between citizens and democratic institutions, and supporting processes of political aggregation, deliberation and collaboration. On the other hand, they comprise the challenges accompanying digital technology for representation, transparency and inclusivity in democratic decision-making.

The book’s main argument is that digital democratic spaces should be redesigned to narrow the gap between the expectations and outcomes of democratic decision-making. It suggests abandoning the notion of digital participatory rights as being fast and easy to enjoy. It also refutes the notion that digital democratic decision-making can only be effective when it delivers rapid and successful responses to the issues of the day, regardless of their complexity.

Ultimately, the success or failure of digital democracy will depend on the ability of public regulators to design digital public spaces with a commitment to complexity, so as to make them appealing, but also effective at engaging citizens…(More)”.

The Legal Singularity

Curated on Posted on by Stefaan Verhulst

Book by Abdi Aidid and Benjamin Alarie: “…argue that the proliferation of artificial intelligence–enabled technology – and specifically the advent of legal prediction – is on the verge of radically reconfiguring the law, our institutions, and our society for the better.

Revealing the ways in which our legal institutions underperform and are expensive to administer, the book highlights the negative social consequences associated with our legal status quo. Given the infirmities of the current state of the law and our legal institutions, the silver lining is that there is ample room for improvement. With concerted action, technology can help us to ameliorate the problems of the law and improve our legal institutions. Inspired in part by the concept of the “technological singularity,” The Legal Singularity presents a future state in which technology facilitates the functional “completeness” of law, where the law is at once extraordinarily more complex in its specification than it is today, and yet operationally, the law is vastly more knowable, fairer, and clearer for its subjects. Aidid and Alarie describe the changes that will culminate in the legal singularity and explore the implications for the law and its institutions…(More)”.

Health Data Sharing to Support Better Outcomes: Building a Foundation of Stakeholder Trust

Curated on Posted on by Stefaan Verhulst

A Special Publication from the National Academy of Medicine: “The effective use of data is foundational to the concept of a learning health system—one that leverages and shares data to learn from every patient experience, and feeds the results back to clinicians, patients and families, and health care executives to transform health, health care, and health equity. More than ever, the American health care system is in a position to harness new technologies and new data sources to improve individual and population health.

Learning health systems are driven by multiple stakeholders—patients, clinicians and clinical teams, health care organizations, academic institutions, government, industry, and payers. Each stakeholder group has its own sources of data, its own priorities, and its own goals and needs with respect to sharing that data. However, in America’s current health system, these stakeholders operate in silos without a clear understanding of the motivations and priorities of other groups. The three stakeholder working groups that served as the authors of this Special Publication identified many cultural, ethical, regulatory, and financial barriers to greater data sharing, linkage, and use. What emerged was the foundational role of trust in achieving the full vision of a learning health system.

This Special Publication outlines a number of potentially valuable policy changes and actions that will help drive toward effective, efficient, and ethical data sharing, including more compelling and widespread communication efforts to improve awareness, understanding, and participation in data sharing. Achieving the vision of a learning health system will require eliminating the artificial boundaries that exist today among patient care, health system improvement, and research. Breaking down these barriers will require an unrelenting commitment across multiple stakeholders toward a shared goal of better, more equitable health.

We can improve together by sharing and using data in ways that produce trust and respect. Patients and families deserve nothing less…(More)”.

Data Governance and Policy in Africa

Curated on Posted on by Stefaan Verhulst

This open access book edited by Bitange Ndemo, Njuguna Ndung’u, Scholastica Odhiambo and Abebe Shimeles: “…examines data governance and its implications for policymaking in Africa. Bringing together economists, lawyers, statisticians, and technology experts, it assesses gaps in both the availability and use of existing data across the continent, and argues that data creation, management and governance need to improve if private and public sectors are to reap the benefits of big data and digital technologies. It also considers lessons from across the globe to assess principles, norms and practices that can guide the development of data governance in Africa….(More)”.

What if You Knew What You Were Missing on Social Media?

Curated on Posted on by Stefaan Verhulst

Article by Julia Angwin: “Social media can feel like a giant newsstand, with more choices than any newsstand ever. It contains news not only from journalism outlets, but also from your grandma, your friends, celebrities and people in countries you have never visited. It is a bountiful feast.

But so often you don’t get to pick from the buffet. On most social media platforms, algorithms use your behavior to narrow in on the posts you are shown. If you send a celebrity’s post to a friend but breeze past your grandma’s, it may display more posts like the celebrity’s in your feed. Even when you choose which accounts to follow, the algorithm still decides which posts to show you and which to bury.

There are a lot of problems with this model. There is the possibility of being trapped in filter bubbles, where we see only news that confirms our existing beliefs. There are rabbit holes, where algorithms can push people toward more extreme content. And there are engagement-driven algorithms that often reward content that is outrageous or horrifying.

Yet not one of those problems is as damaging as the problem of who controls the algorithms. Never has the power to control public discourse been so completely in the hands of a few profit-seeking corporations with no requirements to serve the public good.

Elon Musk’s takeover of Twitter, which he renamed X, has shown what can happen when an individual pushes a political agenda by controlling a social media company.

Since Mr. Musk bought the platform, he has repeatedly declared that he wants to defeat the “woke mind virus” — which he has struggled to define but largely seems to mean Democratic and progressive policies. He has reinstated accounts that were banned because of the white supremacist and antisemitic views they espoused. He has banned journalists and activists. He has promoted far-right figures such as Tucker Carlson and Andrew Tate, who were kicked off other platforms. He has changed the rules so that users can pay to have some posts boosted by the algorithm, and has purportedly changed the algorithm to boost his own posts. The result, as Charlie Warzel said in The Atlantic, is that the platform is now a “far-right social network” that “advances the interests, prejudices and conspiracy theories of the right wing of American politics.”

The Twitter takeover has been a public reckoning with algorithmic control, but any tech company could do something similar. To prevent those who would hijack algorithms for power, we need a pro-choice movement for algorithms. We, the users, should be able to decide what we read at the newsstand…(More)”.

No app, no entry: How the digital world is failing the non tech-savvy

Curated on Posted on by Stefaan Verhulst

Article by Andrew Anthony: “Whatever the word is for the opposite of heartwarming, it certainly applies to the story of Ruth and Peter Jaffe. The elderly couple from Ealing, west London, made headlines last week after being charged £110 by Ryanair for printing out their tickets at Stansted airport.

Even allowing for the exorbitant cost of inkjet printer ink, 55 quid for each sheet of paper is a shockingly creative example of punitive pricing.

The Jaffes, aged 79 and 80, said they had become confused on the Ryanair website and accidentally printed out their return tickets instead of their outbound ones to Bergerac. It was the kind of error anyone could make, although octogenarians, many of whom struggle with the tech demands of digitalisation, are far more likely to make it.

But as the company explained in a characteristically charmless justification of the charge: “We regret that these passengers ignored their email reminder and failed to check-in online.”…

The shiny, bright future of full computerisation looks very much like a dystopia to someone who either doesn’t understand it or have the means to access it. And almost by definition, the people who can’t access the digitalised world are seldom visible, because absence is not easy to see. What is apparent is that improved efficiency doesn’t necessarily lead to greater wellbeing.

From a technological and economic perspective, the case for removing railway station ticket offices is hard to refute. A public consultation process is under way by train operators who present the proposed closures as means of bringing “station staff closer to customers”.

The RMT union, by contrast, believes it’s a means of bringing the staff closer to unemployment and has mounted a campaign heralding the good work done by ticket offices across the network. Whatever the truth, human interaction is in danger of being undervalued in the digital landscape…(More)”.

Driving Excellence in Official Statistics: Unleashing the Potential of Comprehensive Digital Data Governance

Curated on Posted on by Stefaan Verhulst

Paper by Hossein Hassani and Steve McFeely: “With the ubiquitous use of digital technologies and the consequent data deluge, official statistics faces new challenges and opportunities. In this context, strengthening official statistics through effective data governance will be crucial to ensure reliability, quality, and access to data. This paper presents a comprehensive framework for digital data governance for official statistics, addressing key components, such as data collection and management, processing and analysis, data sharing and dissemination, as well as privacy and ethical considerations. The framework integrates principles of data governance into digital statistical processes, enabling statistical organizations to navigate the complexities of the digital environment. Drawing on case studies and best practices, the paper highlights successful implementations of digital data governance in official statistics. The paper concludes by discussing future trends and directions, including emerging technologies and opportunities for advancing digital data governance…(More)”.

Tyranny of the Minority

Curated on Posted on by Stefaan Verhulst

Book by Steven Levitsky and Daniel Ziblatt: “America is undergoing a massive experiment: It is moving, in fits and starts, toward a multiracial democracy, something few societies have ever done. But the prospect of change has sparked an authoritarian backlash that threatens the very foundations of our political system. Why is democracy under assault here, and not in other wealthy, diversifying nations? And what can we do to save it?

With the clarity and brilliance that made their first book, How Democracies Die, a global bestseller, Harvard professors Steven Levitsky and Daniel Ziblatt offer a coherent framework for understanding these volatile times. They draw on a wealth of examples—from 1930s France to present-day Thailand—to explain why and how political parties turn against democracy. They then show how our Constitution makes us uniquely vulnerable to attacks from within: It is a pernicious enabler of minority rule, allowing partisan minorities to consistently thwart and even rule over popular majorities. Most modern democracies—from Germany and Sweden to Argentina and New Zealand—have eliminated outdated institutions like elite upper chambers, indirect elections, and lifetime tenure for judges. The United States lags dangerously behind.

In this revelatory book, Levitsky and Ziblatt issue an urgent call to reform our politics. It’s a daunting task, but we have remade our country before—most notably, after the Civil War and during the Progressive Era. And now we are at a crossroads: America will either become a multiracial democracy or cease to be a democracy at all…(More)”.

Should Computers Decide How Much Things Cost?

Curated on Posted on by Stefaan Verhulst

Article by Colin Horgan: “In the summer of 2012, the Wall Street Journal reported that the travel booking website Orbitz had, in some cases, been suggesting to Apple users hotel rooms that cost more per night than those it was showing to Windows users. The company found that people who used Mac computers spent as much as 30 percent more a night on hotels. It was one of the first high-profile instances where the predictive capabilities of algorithms were shown to impact consumer-facing prices.

Since then, the pool of data available to corporations about each of us (the information we’ve either volunteered or that can be inferred from our web browsing and buying histories) has expanded significantly, helping companies build ever more precise purchaser profiles. Personalized pricing is now widespread, even if many consumers are only just realizing what it is. Recently, other algorithm-driven pricing models, like Uber’s surge or Ticketmaster’s dynamic pricing for concerts, have surprised users and fans. In the past few months, dynamic pricing—which is based on factors such as quantity—has pushed up prices of some concert tickets even before they hit the resale market, including for artists like Drake and Taylor Swift. And while personalized pricing is slightly different, these examples of computer-driven pricing have spawned headlines and social media posts that reflect a growing frustration with data’s role in how prices are dictated.

The marketplace is said to be a realm of assumed fairness, dictated by the rules of competition, an objective environment where one consumer is the same as any other. But this idea is being undermined by the same opaque and confusing programmatic data profiling that’s slowly encroaching on other parts of our lives—the algorithms. The Canadian government is currently considering new consumer-protection regulations, including what to do to control algorithm-based pricing. While strict market regulation is considered by some to be a political risk, another solution may exist—not at the point of sale but at the point where our data is gathered in the first place.

In theory, pricing algorithms aren’t necessarily bad…(More)”.

Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril

Curated on Posted on by Stefaan Verhulst

Special Publication by the National Academy of Medicine (NAM): “The emergence of artificial intelligence (AI) in health care offers unprecedented opportunities to improve patient and clinical team outcomes, reduce costs, and impact population health. While there have been a number of promising examples of AI applications in health care, it is imperative to proceed with caution or risk the potential of user disillusionment, another AI winter, or further exacerbation of existing health- and technology-driven disparities.

This Special Publication synthesizes current knowledge to offer a reference document for relevant health care stakeholders. It outlines the current and near-term AI solutions; highlights the challenges, limitations, and best practices for AI development, adoption, and maintenance; offers an overview of the legal and regulatory landscape for AI tools designed for health care application; prioritizes the need for equity, inclusion, and a human rights lens for this work; and outlines key considerations for moving forward.

AI is poised to make transformative and disruptive advances in health care, but it is prudent to balance the need for thoughtful, inclusive health care AI that plans for and actively manages and reduces potential unintended consequences, while not yielding to marketing hype and profit motives…(More)”