Revolutionizing Governance: AI-Driven Citizen Engagement

Curated on Posted on by Stefaan Verhulst

Article by Komal Goyal: “Government-citizen engagement has come a long way over the past decade, with governments increasingly adopting AI-powered analytics, automated processes and chatbots to engage with citizens and gain insights into their concerns. A 2023 Stanford University report found that the federal government spent $3.3 billion on AI in the fiscal year 2022, highlighting the remarkable upswing in AI adoption across various government sectors.

As the demands of a digitally empowered and information-savvy society constantly evolve, it is becoming imperative for government agencies to revolutionize how they interact with their constituents. I’ll discuss how AI can help achieve this and pave the way for a more responsive, inclusive and effective form of governance…(More)”.

Future-Proofing Transparency: Re-Thinking Public Record Governance For the Age of Big Data

Curated on Posted on by Stefaan Verhulst

Paper by Beatriz Botero Arcila: “Public records, public deeds, and even open data portals often include personal information that can now be easily accessed online. Yet, for all the recent attention given to informational privacy and data protection, scant literature exists on the governance of personal information that is available in public documents. This Article examines the critical issue of balancing privacy and transparency within public record governance in the age of Big Data.

With Big Data and powerful machine learning algorithms, personal information in public records can easily be used to infer sensitive data about people or aggregated to create a comprehensive personal profile of almost anyone. This information is public and open, however, for many good reasons: ensuring political accountability, facilitating democratic participation, enabling economic transactions, combating illegal activities such as money laundering and terrorism financing, and facilitating. Can the interest in record publicity coexist with the growing ease of deanonymizing and revealing sensitive information about individuals?

This Article addresses this question from a comparative perspective, focusing on US and EU access to information law. The Article shows that the publicity of records was, in the past and not withstanding its presumptive public nature, protected because most people would not trouble themselves to go to public offices to review them, and it was practical impossible to aggregate them to draw extensive profiles about people. Drawing from this insight and contemporary debates on data governance, this Article challenges the binary classification of data as either published or not and proposes a risk-based framework that re-insert that natural friction to public record governance by leveraging techno-legal methods in how information is published and accessed…(More)”.

Creating Real Value: Skills Data in Learning and Employment Records

Curated on Posted on by Stefaan Verhulst

Article by Nora Heffernan: “Over the last few months, I’ve asked the same question to corporate leaders from human resources, talent acquisition, learning and development, and management backgrounds. The question is this:

What kind of data needs to be included in learning and employment records to be of greatest value to you in your role and to your organization?

By data, I’m talking about credential attainment, employment history, and, emphatically, verified skills data: showing at an individual level what a candidate or employee knows and is able to do.

The answer varies slightly by industry and position, but unanimously, the employers I’ve talked to would find the greatest value in utilizing learning and employment records that include verified skills data. There is no equivocation.

And as the national conversation about skills-first talent management continues to ramp up, with half of companies indicating they plan to eliminate degree requirements for some jobs in the next year, the call for verified skill data will only get louder. Employers value skills data for multiple reasons…(More)”.

Defending the rights of refugees and migrants in the digital age

Curated on Posted on by Stefaan Verhulst

Primer by Amnesty International: “This is an introduction to the pervasive and rapid deployment of digital technologies in asylum and migration management systems across the globe including the United States, United Kingdom and the European Union. Defending the rights of refugees and migrants in the digital age, highlights some of the key digital technology developments in asylum and migration management systems, in particular systems that process large quantities of data, and the human rights issues arising from their use. This introductory briefing aims to build our collective understanding of these emerging technologies and hopes to add to wider advocacy efforts to stem their harmful effects…(More)”.

AI for Good: Applications in Sustainability, Humanitarian Action, and Health

Curated on Posted on by Stefaan Verhulst

Book by Juan M. Lavista Ferres, and William B. Weeks: “…delivers an insightful and fascinating discussion of how one of the world’s most recognizable software companies is tackling intractable social problems with the power of artificial intelligence (AI). In the book, you’ll see real in-the-field examples of researchers using AI with replicable methods and reusable AI code to inspire your own uses.

The authors also provide:

  • Easy-to-follow, non-technical explanations of what AI is and how it works
  • Examples of the use of AI for scientists working on mitigating climate change, showing how AI can better analyze data without human bias, remedy pattern recognition deficits, and make use of satellite and other data on a scale never seen before so policy makers can make informed decisions
  • Real applications of AI in humanitarian action, whether in speeding disaster relief with more accurate data for first responders or in helping address populations that have experienced adversity with examples of how analytics is being used to promote inclusivity
  • A deep focus on AI in healthcare where it is improving provider productivity and patient experience, reducing per-capita healthcare costs, and increasing care access, equity, and outcomes
  • Discussions of the future of AI in the realm of social benefit organizations and efforts…(More)”

Why China Can’t Export Its Model of Surveillance

Curated on Posted on by Stefaan Verhulst

Article by Minxin Pei: “t’s Not the Tech That Empowers Big Brother in Beijing—It’s the Informants…Over the past two decades, Chinese leaders have built a high-tech surveillance system of seemingly extraordinary sophistication. Facial recognition software, Internet monitoring, and ubiquitous video cameras give the impression that the ruling Chinese Communist Party (CCP) has finally accomplished the dictator’s dream of building a surveillance state like the one imagined in George Orwell’s 1984. 

A high-tech surveillance network now blankets the entire country, and the potency of this system was on full display in November 2022, when nationwide protests against China’s COVID lockdown shocked the party. Although the protesters were careful to conceal their faces with masks and hats, the police used mobile-phone location data to track them down. Mass arrests followed.

Beijing’s surveillance state is not only a technological feat. It also relies on a highly labor-intensive organization. Over the past eight decades, the CCP has constructed a vast network of millions of informers and spies whose often unpaid work has been critical to the regime’s survival. It is these men and women, more than cameras or artificial intelligence, that have allowed Beijing to suppress dissent. Without a network of this size, the system could not function. This means that, despite the party’s best efforts, the Chinese security apparatus is impossible to export…(More)”.

Winning the Battle of Ideas: Exposing Global Authoritarian Narratives and Revitalizing Democratic Principles

Curated on Posted on by Stefaan Verhulst

Report by Joseph Siegle: “Democracies are engaged in an ideological competition with autocracies that could reshape the global order. Narratives are a potent, asymmetric instrument of power, as they reframe events in a way that conforms to and propagates a particular worldview. Over the past decade and a half, autocracies like Russia and China have led the effort to disseminate authoritarian narratives globally, seeking to normalize authoritarianism as an equally viable and legitimate form of government. How do authoritarian narratives reframe an unappealing value proposition, with the aim of making the democratic path seem less attractive and offering authoritarianism as an alternative model? How can democracies reemphasize their core principles and remind audiences of democracy’s moral, developmental, and security advantages?…(More)”.

In the long run: the future as a political idea

Curated on Posted on by Stefaan Verhulst

Book by Jonathan White: “Democracy is future-oriented and self-correcting: today’s problems can be solved, we are told, in tomorrow’s elections. But the biggest issues facing the modern world – from climate collapse and pandemics to recession and world war – each apparently bring us to the edge of the irreversible. What happens to democracy when the future seems no longer open?

In this eye-opening history of ideas, Jonathan White investigates how politics has long been directed by shifting visions of the future, from the birth of ideologies in the nineteenth century to Cold War secrecy and the excesses of the neoliberal age.

As an inescapable sense of disaster defines our politics, White argues that a political commitment to the long-term may be the best way to safeguard democracy. Wide in scope and sharply observed, In the Long Run is a history of the future that urges us to make tomorrow new again…(More)”.

Don’t Talk to People Like They’re Chatbots

Curated on Posted on by Stefaan Verhulst

Article by Albert Fox Cahn and Bruce Schneier: “For most of history, communicating with a computer has not been like communicating with a person. In their earliest years, computers required carefully constructed instructions, delivered through punch cards; then came a command-line interface, followed by menus and options and text boxes. If you wanted results, you needed to learn the computer’s language.

This is beginning to change. Large language models—the technology undergirding modern chatbots—allow users to interact with computers through natural conversation, an innovation that introduces some baggage from human-to-human exchanges. Early on in our respective explorations of ChatGPT, the two of us found ourselves typing a word that we’d never said to a computer before: “Please.” The syntax of civility has crept into nearly every aspect of our encounters; we speak to this algebraic assemblage as if it were a person—even when we know that it’s not.

Right now, this sort of interaction is a novelty. But as chatbots become a ubiquitous element of modern life and permeate many of our human-computer interactions, they have the potential to subtly reshape how we think about both computers and our fellow human beings.

One direction that these chatbots may lead us in is toward a society where we ascribe humanity to AI systems, whether abstract chatbots or more physical robots. Just as we are biologically primed to see faces in objects, we imagine intelligence in anything that can hold a conversation. (This isn’t new: People projected intelligence and empathy onto the very primitive 1960s chatbot, Eliza.) We say “please” to LLMs because it feels wrong not to…(More)”.

Collective action for responsible AI in health

Curated on Posted on by Stefaan Verhulst

OECD Report: “Artificial intelligence (AI) will have profound impacts across health systems, transforming health care, public health, and research. Responsible AI can accelerate efforts toward health systems being more resilient, sustainable, equitable, and person-centred. This paper provides an overview of the background and current state of artificial intelligence in health, perspectives on opportunities, risks, and barriers to success. The paper proposes several areas to be explored for policy-makers to advance the future of responsible AI in health that is adaptable to change, respects individuals, champions equity, and achieves better health outcomes for all.

The areas to be explored relate to trust, capacity building, evaluation, and collaboration. This recognises that the primary forces that are needed to unlock the value from artificial intelligence are people-based and not technical…(More)”