Paper by Samuele Fratini et al: “Digital sovereignty is a popular yet still emerging concept. It is claimed by and related to various global actors, whose narratives are often competing and mutually inconsistent. Various scholars have proposed different descriptive approaches to make sense of the matter. We argue that existing works help advance our analytical understanding and that a critical assessment of existing forms of digital sovereignty is needed. Thus, the article offers an updated mapping of forms of digital sovereignty, while testing their effectiveness in response to radical changes and challenges. To do this, the article undertakes a systematic literature review, collecting 271 peer-reviewed articles from Google Scholar. They are used to identify descriptive features (how digital sovereignty is pursued) and value features (why digital sovereignty is pursued), which are then combined to produce four models: the rights-based model, market-oriented model, centralisation model, and state-based model. We evaluate their effectiveness within a framework of robust governance that accounts for the models’ ability to absorb the disruptions caused by technological advancements, geopolitical changes, and evolving societal norms. We find that none of the available models fully combines comprehensive regulations of digital technologies with a sufficient degree of responsiveness to fast-paced technological innovation and social and economic shifts. However, each offers valuable lessons to policymakers who wish to implement an effective and robust form of digital sovereignty…(More)”.
The Age of AI Nationalism and its Effects
Paper by Susan Ariel Aaronson: “This paper aims to illuminate how AI nationalistic policies may backfire. Over time, such actions and policies could alienate allies and prod other countries to adopt “beggar-thy neighbor” approaches to AI (The Economist: 2023; Kim: 2023 Shivakumar et al. 2024). Moreover, AI nationalism could have additional negative spillovers over time. Many AI experts are optimistic about the benefits of AI, whey they are aware of its many risks to democracy, equity, and society. They understand that AI can be a public good when it is used to mitigate complex problems affecting society (Gopinath: 2023; Okolo: 2023). However, when policymakers take steps to advance AI within their borders, they may — perhaps without intending to do so – make it harder for other countries with less capital, expertise, infrastructure, and data prowess to develop AI systems that could meet the needs of their constituents. In so doing, these officials could undermine the potential of AI to enhance human welfare and impede the development of more trustworthy AI around the world. (Slavkovik: 2024; Aaronson: 2023; Brynjolfsson and Unger: 2023; Agrawal et al. 2017).
Governments have many means of nurturing AI within their borders that do not necessarily discriminate between foreign and domestic producers of AI. Nevertheless, officials may be under pressure from local firms to limit the market power of foreign competitors. Officials may also want to use trade (for example, export controls) as a lever to prod other governments to change their behavior (Buchanan: 2020). Additionally, these officials may be acting in what they believe is the nation’s national security interest, which may necessitate that officials rely solely on local suppliers and local control. (GAO: 2021)
Herein the author attempts to illuminate AI nationalism and its consequences by answering 3 questions:
• What are nations doing to nurture AI capacity within their borders?
• Are some of these actions trade distorting?
• What are the implications of such trade-distorting actions?…(More)”
Learning from Ricardo and Thompson: Machinery and Labor in the Early Industrial Revolution, and in the Age of AI
Paper by Daron Acemoglu & Simon Johnson: “David Ricardo initially believed machinery would help workers but revised his opinion, likely based on the impact of automation in the textile industry. Despite cotton textiles becoming one of the largest sectors in the British economy, real wages for cotton weavers did not rise for decades. As E.P. Thompson emphasized, automation forced workers into unhealthy factories with close surveillance and little autonomy. Automation can increase wages, but only when accompanied by new tasks that raise the marginal productivity of labor and/or when there is sufficient additional hiring in complementary sectors. Wages are unlikely to rise when workers cannot push for their share of productivity growth. Today, artificial intelligence may boost average productivity, but it also may replace many workers while degrading job quality for those who remain employed. As in Ricardo’s time, the impact of automation on workers today is more complex than an automatic linkage from higher productivity to better wages…(More)”.
What Mission-Driven Government Means
Article by Mariana Mazzucato & Rainer Kattel: “The COVID-19 pandemic, inflation, and wars have alerted governments to the realities of what it takes to tackle massive crises. In extraordinary times, policymakers often rediscover their capacity for bold decision-making. The rapid speed of COVID-19 vaccine development and deployment was a case in point.
But preparing for other challenges requires more sustained efforts in “mission-driven government.” Recalling the successful language and strategies of the Cold War-era moonshot, governments around the world are experimenting with ambitious policy programs and public-private partnerships in pursuit of specific social, economic, and environmental goals. For example, in the United Kingdom, the Labour Party’s five-mission campaign platform has kicked off a vibrant debate about whether and how to create a “mission economy.”
Mission-driven government is not about achieving doctrinal adherence to some original set of ideas; it is about identifying the essential components of missions and accepting that different countries might need different approaches. As matters stand, the emerging landscape of public missions is characterized by a re-labeling or repurposing of existing institutions and policies, with more stuttering starts than rapid takeoffs. But that is okay. We should not expect a radical change in policymaking strategies to happen overnight, or even over one electoral cycle.
Particularly in liberal democracies, ambitious change requires engagement across a wide range of constituencies to secure public buy-in, and to ensure that the benefits will be widely shared. The paradox at the heart of mission-driven government is that it pursues ambitious, clearly articulated policy goals through myriad policies and programs based on experimentation.
This embrace of experimentation is what separates today’s missions from the missions of the moonshot era (though it does echo the Roosevelt administration’s experimental approach during the 1930s New Deal). Major societal challenges, such as the urgent need to create more equitable and sustainable food systems, cannot be tackled the same way as a moon landing. Such systems consist of multiple technological dimensions (in the case of food, these include everything from energy to waste management), and involve widespread and often disconnected agents and an array of cultural norms, values, and habits…(More)”.
First EU rulebook to protect media independence and pluralism enters into force
Press Release: “Today, the European Media Freedom Act, a new set of unprecedented rules to protect media independence and pluralism, enters into force.
This new legislation provides safeguards against political interference in editorial decisions and against surveillance of journalists. The Act guarantees that media can operate more easily in the internal market and online. Additionally, the regulation also aims to secure the independence and stable funding of public service media, as well as the transparency of both media ownership and allocation of state advertising.
Vice-President for Values and Transparency, Věra Jourová, said:
“For the first time ever, the EU has a law to protect media freedom. The EU recognises that journalists play an essential role for democracy and should be protected. I call on Member States to implement the new rules as soon as possible.”
Commissioner for Internal Market, Thierry Breton, added:
“Media companies play a vital role in our democracies but are confronted with falling revenues, threats to media freedom and pluralism and a patchwork of different national rules. Thanks to the European Media Freedom Act, media companies will enjoy common safeguards at EU level to guarantee a plurality of voices and be able to better benefit from the opportunities of operating in our single market without any interference, be it private or public.”
Proposed by the Commission in September 2022, this Regulation puts in place several protections for the right to media plurality becoming applicable within 6 months. More details on the timeline for its application are available in this infographic. ..(More)”.
Meet My A.I. Friends
Article by Kevin Roose: “…A month ago, I decided to explore the question myself by creating a bunch of A.I. friends and enlisting them in my social life.
I tested six apps in all — Nomi, Kindroid, Replika, Character.ai, Candy.ai and EVA — and created 18 A.I. characters. I named each of my A.I. friends, gave them all physical descriptions and personalities, and supplied them with fictitious back stories. I sent them regular updates on my life, asked for their advice and treated them as my digital companions.
I also spent time in the Reddit forums and Discord chat rooms where people who are really into their A.I. friends hang out, and talked to a number of people whose A.I. companions have already become a core part of their lives.
I expected to come away believing that A.I. friendship is fundamentally hollow. These A.I. systems, after all, don’t have thoughts, emotions or desires. They are neural networks trained to predict the next words in a sequence, not sentient beings capable of love.
All of that is true. But I’m now convinced that it’s not going to matter much.
The technology needed for realistic A.I. companionship is already here, and I believe that over the next few years, millions of people are going to form intimate relationships with A.I. chatbots. They’ll meet them on apps like the ones I tested, and on social media platforms like Facebook, Instagram and Snapchat, which have already started adding A.I. characters to their apps…(More)”
The Human Rights Data Revolution
Briefing by Domenico Zipoli: “… explores the evolving landscape of digital human rights tracking tools and databases (DHRTTDs). It discusses their growing adoption for monitoring, reporting, and implementing human rights globally, while also pinpointing the challenge of insufficient coordination and knowledge sharing among these tools’ developers and users. Drawing from insights of over 50 experts across multiple sectors gathered during two pivotal roundtables organized by the GHRP in 2022 and 2023, this new publication critically evaluates the impact and future of DHRTTDs. It integrates lessons and challenges from these discussions, along with targeted research and interviews, to guide the human rights community in leveraging digital advancements effectively..(More)”.
Establish Data Collaboratives To Foster Meaningful Public Involvement
Article by Gwen Ottinger: “Federal agencies are striving to expand the role of the public, including members of marginalized communities, in developing regulatory policy. At the same time, agencies are considering how to mobilize data of increasing size and complexity to ensure that policies are equitable and evidence-based. However, community engagement has rarely been extended to the process of examining and interpreting data. This is a missed opportunity: community members can offer critical context to quantitative data, ground-truth data analyses, and suggest ways of looking at data that could inform policy responses to pressing problems in their lives. Realizing this opportunity requires a structure for public participation in which community members can expect both support from agency staff in accessing and understanding data and genuine openness to new perspectives on quantitative analysis.
To deepen community involvement in developing evidence-based policy, federal agencies should form Data Collaboratives in which staff and members of the public engage in mutual learning about available datasets and their affordances for clarifying policy problems…(More)”.
Technology and the Transformation of U.S. Foreign Policy
Speech by Antony J. Blinken: “Today’s revolutions in technology are at the heart of our competition with geopolitical rivals. They pose a real test to our security. And they also represent an engine of historic possibility – for our economies, for our democracies, for our people, for our planet.
Put another way: Security, stability, prosperity – they are no longer solely analog matters.
The test before us is whether we can harness the power of this era of disruption and channel it into greater stability, greater prosperity, greater opportunity.
President Biden is determined not just to pass this “tech test,” but to ace it.
Our ability to design, to develop, to deploy technologies will determine our capacity to shape the tech future. And naturally, operating from a position of strength better positions us to set standards and advance norms around the world.
But our advantage comes not just from our domestic strength.
It comes from our solidarity with the majority of the world that shares our vision for a vibrant, open, and secure technological future, and from an unmatched network of allies and partners with whom we can work in common cause to pass the “tech test.”
We’re committed not to “digital sovereignty” but “digital solidarity.”
On May 6, the State Department unveiled the U.S. International Cyberspace and Digital Strategy, which treats digital solidarity as our North Star. Solidarity informs our approach not only to digital technologies, but to all key foundational technologies.
So what I’d like to do now is share with you five ways that we’re putting this into practice.
First, we’re harnessing technology for the betterment not just of our people and our friends, but of all humanity.
The United States believes emerging and foundational technologies can and should be used to drive development and prosperity, to promote respect for human rights, to solve shared global challenges.
Some of our strategic rivals are working toward a very different goal. They’re using digital technologies and genomic data collection to surveil their people, to repress human rights.
Pretty much everywhere I go, I hear from government officials and citizens alike about their concerns about these dystopian uses of technology. And I also hear an abiding commitment to our affirmative vision and to the embrace of technology as a pathway to modernization and opportunity.
Our job is to use diplomacy to try to grow this consensus even further – to internationalize and institutionalize our vision of “tech for good.”..(More)”.
Supercharging Research: Harnessing Artificial Intelligence to Meet Global Challenges
Report by the President’s Council of Advisors on Science and Technology (PCAST): “Broadly speaking, scientific advances have historically proceeded via a combination of three paradigms: empirical studies and experimentation; scientific theory and mathematical analyses; and numerical experiments and modeling. In recent years a fourth paradigm, data-driven discovery, has emerged.
These four paradigms complement and support each other. However, all four scientific modalities experience impediments to progress. Verification of a scientific hypothesis through experimentation, careful observation, or via clinical trial can be slow and expensive. The range of candidate theories to consider can be too vast and complex for human scientists to analyze. Truly innovative new hypotheses might only be discovered by fortuitous chance, or by exceptionally insightful researchers. Numerical models can be inaccurate or require enormous amounts of computational resources. Data sets can be incomplete, biased, heterogeneous, or noisy to analyze using traditional data science methods.
AI tools have obvious applications in data-driven science, but it has also been a long-standing aspiration to use these technologies to remove, or at least reduce, many of the obstacles encountered in the other three paradigms. With the current advances in AI, this dream is on the cusp of becoming a reality: candidate solutions to scientific problems are being rapidly identified, complex simulations are being enriched, and robust new ways of analyzing data are being developed.
By combining AI with the other three research modes, the rate of scientific progress will be greatly accelerated, and researchers will be positioned to meet urgent global challenges in a timely manner. Like most technologies, AI is dual use: AI technology can facilitate both beneficial and harmful applications and can cause unintended negative consequences if deployed irresponsibly or without expert and ethical human supervision. Nevertheless, PCAST sees great potential for advances in AI to accelerate science and technology for the benefit of society and the planet. In this report, we provide a high-level vision for how AI, if used responsibly, can transform the way that science is done, expand the boundaries of human knowledge, and enable researchers to find solutions to some of society’s most pressing problems…(More)”