The Tragedy of AI Governance


Paper by Simon Chesterman: “Despite hundreds of guides, frameworks, and principles intended to make AI “ethical” or “responsible”, ever more powerful applications continue to be released ever more quickly. Safety and security teams are being downsized or sidelined to bring AI products to market. And a significant portion of AI developers apparently believe there is a real risk that their work poses an existential threat to humanity.

This contradiction between statements and action can be attributed to three factors that undermine the prospects for meaningful governance of AI. The first is the shift of power from public to private hands, not only in deployment of AI products but in fundamental research. The second is the wariness of most states about regulating the sector too aggressively, for fear that it might drive innovation elsewhere. The third is the dysfunction of global processes to manage collective action problems, epitomized by the climate crisis and now frustrating efforts to govern a technology that does not respect borders. The tragedy of AI governance is that those with the greatest leverage to regulate AI have the least interest in doing so, while those with the greatest interest have the least leverage.

Resolving these challenges either requires rethinking the incentive structures — or waiting for a crisis that brings the need for regulation and coordination into sharper focus…(More)”

Enhancing the European Administrative Space (ComPAct)


European Commission: “Efficient national public administrations are critical to transform EU and national policies into reality, to implement reforms to the benefit of people and business alike, and to channel investments towards the achievement of the green and digital transition, and greater competitiveness. At the same time, national public administrations are also under an increasing pressure to deal with polycrisis and with many competing priorities. 

For the first time, with the ComPAct, the Commission is proposing a strategic set of actions not only to support the public administrations in the Member States to become more resilient, innovative and skilled, but also to strengthen the administrative cooperation between them, thereby allowing to close existing gaps in policies and services at European level.

With the ComPAct, the Commission aims to enhance the European Administrative Space by promoting a common set of overarching principles underpinning the quality of public administration and reinforcing its support for the administrative modernisation of the Member States. The ComPAct will help Member States address the EU Skills Agenda and the actions under the European Year of Skills, deliver on the targets of the Digital Decade to have 100% of key public services accessible online by 2030, and shape the conditions for the economies and societies to deliver on the ambitious 2030 climate and energy targets. The ComPAct will also help EU enlargement countries on their path to building better public administrations…(More)”.

Future Law, Ethics, and Smart Technologies


Book edited by John-Stewart Gordon: “This interdisciplinary textbook serves as a solid introduction to the future of legal education against the background of the widespread use of AI written by colleagues from different disciplines, e.g. law, philosophy/ethics, economy, and computer science, whose common interest concerns AI and its impact on legal and ethical issues. The book provides, first, a general overview of the effects of AI on major disciplines such as ethics, law, economy, political science, and healthcare. Secondly, it offers a comprehensive analysis of major key issues concerning law: (a) AI decision-making, (b) rights, status, and responsibility, (c) regulation and standardisation, and (d) education…(More)”.

Towards a Taxonomy of Anticipatory Methods: Integrating Traditional and Innovative Methods for Migration Policy


Towards a Taxonomy of Anticipatory Methods: Integrating Traditional and Innovative Methods for Migration Policy

Blog by Sara Marcucci, and Stefaan Verhulst: “…In this week’s blog post, we delineate a taxonomy of anticipatory methods, categorizing them into three distinct sub-categories: Experience-based, Exploration-based, and Expertise-based methods. Our focus will be on what the practical applications of these methods are and how both traditional and non-traditional data sources play a pivotal role within each of these categories. …Experience-based methods in the realm of migration policy focus on gaining insights from the lived experiences of individuals and communities involved in migration processes. These methods allow policymakers to tap into the lived experiences, challenges, and aspirations of individuals and communities, fostering a more empathetic and holistic approach to policy development.

Through the lens of people’s experiences and viewpoints, it is possible to create and explore a multitude of scenarios. This in-depth exploration provides policy makers with a comprehensive understanding of these potential pathways, which, in turn, inform their decision-making process…(More)”.

Addressing ethical gaps in ‘Technology for Good’: Foregrounding care and capabilities


Paper by Alison B. Powell et al: “This paper identifies and addresses persistent gaps in the consideration of ethical practice in ‘technology for good’ development contexts. Its main contribution is to model an integrative approach using multiple ethical frameworks to analyse and understand the everyday nature of ethical practice, including in professional practice among ‘technology for good’ start-ups. The paper identifies inherent paradoxes in the ‘technology for good’ sector as well as ethical gaps related to (1) the sometimes-misplaced assignment of virtuousness to an individual; (2) difficulties in understanding social constraints on ethical action; and (3) the often unaccounted for mismatch between ethical intentions and outcomes in everyday practice, including in professional work associated with an ‘ethical turn’ in technology. These gaps persist even in contexts where ethics are foregrounded as matters of concern. To address the gaps, the paper suggests systemic, rather than individualized, considerations of care and capability applied to innovation settings, in combination with considerations of virtue and consequence. This paper advocates for addressing these challenges holistically in order to generate renewed capacity for change at a systemic level…(More)”.

AI-tocracy


Article by Peter Dizikes: “It’s often believed that authoritarian governments resist technical innovation in a way that ultimately weakens them both politically and economically. But a more complicated story emerges from a new study on how China has embraced AI-driven facial recognition as a tool of repression. 

“What we found is that in regions of China where there is more unrest, that leads to greater government procurement of facial-recognition AI,” says coauthor Martin Beraja, an MIT economist. Not only has use of the technology apparently worked to suppress dissent, but it has spurred software development. The scholars call this mutually reinforcing situation an “AI-tocracy.” 

In fact, they found, firms that were granted a government contract for facial-recognition technologies produce about 49% more software products in the two years after gaining the contract than before. “We examine if this leads to greater innovation by facial-recognition AI firms, and indeed it does,” Beraja says.

Adding it all up, the case of China indicates how autocratic governments can potentially find their political power enhanced, rather than upended, when they harness technological advances—and even generate more economic growth than they would have otherwise…(More)”.

Everybody is looking into the Future! 


Report as part of the “Anticipation and monitoring of emerging technologies and disruptive innovation” (ANTICIPINNOV) project, a collaboration between the European Commission Joint Research Centre with the European Innovation Council (EIC): “Growing volatility, uncertainty, complexity and ambiguity, present leading challenges in policy-making nowadays. Anticipatory thinking and foresight are of utmost importance to help explore trends, risks, emerging issues, and their potential implications and opportunities in order to draw useful insights for strategic planning, policy-making and preparedness.
The findings include a set of 106 signals and trends on emerging technologies and disruptive innovations across several areas of application based on a review of key reports on technology and innovation trends and signals produced by public and private entities outside of the EU institutions. Its goal is to strengthen the EIC’s strategic intelligence capacity through the use and development of anticipatory approaches that will – among other goals – support innovation funding prioritisation…(More)”.

Catastrophic Incentives: Why Our Approaches to Disasters Keep Falling Short


Book by Jeff Schlegelmilch and Ellen Carlin: “Societies are vulnerable to any number of potential disasters: earthquakes, hurricanes, infectious diseases, terrorist attacks, and many others. Even though the dangers are often clear, there is a persistent pattern of inadequate preparation and a failure to learn from experience. Before disasters, institutions pay insufficient attention to risk; in the aftermath, even when the lack of preparation led to a flawed response, the focus shifts to patching holes instead of addressing the underlying problems.

Examining twenty years of disasters from 9/11 to COVID-19, Jeff Schlegelmilch and Ellen Carlin show how flawed incentive structures make the world more vulnerable when catastrophe strikes. They explore how governments, the private sector, nonprofits, and academia behave before, during, and after crises, arguing that standard operational and business models have produced dysfunction. Catastrophic Incentives reveals troubling patterns about what does and does not matter to the institutions that are responsible for dealing with disasters. The short-termism of electoral politics and corporate decision making, the funding structure of nonprofits, and the institutional dynamics shaping academic research have all contributed to a failure to build resilience.

Offering a comprehensive and incisive look at disaster governance, Catastrophic Incentives provides timely recommendations for reimagining systems and institutions so that they are better equipped to manage twenty-first-century threats…(More)”.

Our Planet Powered by AI: How We Use Artificial Intelligence to Create a Sustainable Future for Humanity


Book by Mark Minevich: “…You’ll learn to create sustainable, effective competitive advantage by introducing previously unheard-of levels of adaptability, resilience, and innovation into your company.

Using real-world case studies from a variety of well-known industry leaders, the author explains the strategic archetypes, technological infrastructures, and cultures of sustainability you’ll need to ensure your firm’s next-level digital transformation takes root. You’ll also discover:

  • How AI can enable new business strategies, models, and ecosystems of innovation and growth
  • How to develop societal impact and powerful organizational benefits with ethical AI implementations that incorporate transparency, fairness, privacy, and reliability
  • What it means to enable all-inclusive artificial intelligence

An engaging and hands-on exploration of how to take your firm to new levels of dynamism and growth, Our Planet Powered by AI will earn a place in the libraries of managers, executives, directors, and other business and technology leaders seeking to distinguish their companies in a new age of astonishing technological advancement and fierce competition….(More)”.

Citizens’ Assemblies Are Upgrading Democracy: Fair Algorithms Are Part of the Program


Article by Ariel Procaccia: “…Taken together, these assemblies have demonstrated an impressive capacity to uncover the will of the people and build consensus.

The effectiveness of citizens’ assemblies isn’t surprising. Have you ever noticed how politicians grow a spine the moment they decide not to run for reelection? Well, a citizens’ assembly is a bit like a legislature whose members make a pact barring them from seeking another term in office. The randomly selected members are not beholden to party machinations or outside interests; they are free to speak their mind and vote their conscience.

What’s more, unlike elected bodies, these assemblies are chosen to mirror the population, a property that political theorists refer to as descriptive representation. For example, a typical citizens’ assembly has a roughly equal number of men and women (some also ensure nonbinary participation), whereas the average proportion of seats held by women in national parliaments worldwide was 26 percent in 2021—a marked increase from 12 percent in 1997 but still far from gender balance. Descriptive representation, in turn, lends legitimacy to the assembly: citizens seem to find decisions more acceptable when they are made by people like themselves.

As attractive as descriptive representation is, there are practical obstacles to realizing it while adhering to the principle of random selection. Overcoming these hurdles has been a passion of mine for the past few years. Using tools from mathematics and computer science, my collaborators and I developed an algorithm for the selection of citizens’ assemblies that many practitioners around the world are using. Its story provides a glimpse into the future of democracy—and it begins a long time ago…(More)”.