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Artificial intelligence (AI) systems are playing an overarching role in the disinformation phenomenon our world is currently facing. Such systems boost the problem not only by increasing opportunities to create realistic AI-generated fake content, but also, and essentially, by facilitating the dissemination of disinformation to a targeted audience and at scale by malicious stakeholders. This situation entails multiple ethical and human rights concerns, in particular regarding human dignity, autonomy, democracy, and peace. In reaction, other AI systems are developed to detect and moderate disinformation online. Such systems do not escape from ethical and human rights concerns either, especially regarding freedom of expression and information. Having originally started with ascending co-regulation, the European Union (EU) is now heading toward descending co-regulation of the phenomenon. In particular, the Digital Services Act proposal provides for transparency obligations and external audit for very large online platforms’ recommender systems and content moderation. While with this proposal, the Commission focusses on the regulation of content considered as problematic, the EU Parliament and the EU Council call for enhancing access to trustworthy content. In light of our study, we stress that the disinformation problem is mainly caused by the business model of the web that is based on advertising revenues, and that adapting this model would reduce the problem considerably. We also observe that while AI systems are inappropriate to moderate disinformation content online, and even to detect such content, they may be more appropriate to counter the manipulation of the digital ecosystem.

Following the financial and economic crisis, welfare policies across the EU are increasingly becoming instruments for limiting the mobility of certain EU migrants. In this article, we focus on EU citizens who see their freedom of movement in the EU being restricted after they have applied for social assistance or unemployment benefits in their country of residence. Doing so, we conceptualize undocumented EU migration by means of the concepts of ‘non-deportability’, ‘deservingness’ and ‘precariousness’. Overall, this article – based on ethnographic fieldwork conducted with Italian migrants in Belgium – expands our understanding of undocumented migration by demonstrating how arbitrary and intimidating bureaucratic processes undermine the exercise of EU citizenship.

Mitigation and adaptation projects will lead to increased population displacement, calling for new research and attention to past lessons. Although there is agreement that climate change will result in population displacements and migration, there are differing views on the potential volume of flows, the likely source and destination areas, the relative role of climatic versus other factors in precipitating movements, and whether migration represents a failure of adaptation ( 1 , 2 ). We argue that climate change mitigation and adaptation (M&A) actions, which will also result in significant population displacements, have not received sufficient attention. Given the emergence of resettlement as an adaptation response, it is critical to learn from research on development-forced displacement and resettlement (DFDR). We discuss two broad categories of potential displacement in response to (i) climate impacts themselves and (ii) large-scale M&A projects. We discuss policy approaches for facilitating migration and, where communities lack resources to migrate, suggest guidelines for organized resettlement.

Actions potentially harmful to the environment that are otherwise illegal are sometimes permitted in cases of emergency. How to define an emergency can therefore be both controversial and highly consequential. In this article, we explore one such contemporary controversy: when the use of neonicotinoid pesticides, banned in the EU, can nevertheless be granted an emergency authorization. We analyse several questions, currently before the EU Court of Justice in the ongoing Pesticide Action Network Europe and Others case, that will determine the scope of an “emergency” in the context of derogating from the Pesticide Regulation, and that may impact how “emergencies” are defined in other legal contexts. We argue that the circumstances do not support a legal finding that emergency authorization is justified in this case, and that, in general, “emergencies” must be narrowly defined when justifying measures that involve risks to human health and the environment.

There is a pressing need for transformative change, with a vision of long-term human well-being within planetary boundaries. The lack of progress—despite increasing awareness and action—illustrates how challenging it is to foster change in our complex global society. Education and learning are needed to enable change. Transdisciplinary learning, which meaningfully integrates diverse knowledge and perspectives, contributes to developing an integrative understanding—a necessity for tackling complex challenges. We explore how transdisciplinary learning for early-career researchers can foster transformative change and lead to increased biodiversity conservation. This paper focuses on a case study of the authors’ shared experiences during the 2021 Alternet Summer School, which focused on transformative change for biodiversity conservation and human well-being. In this introspective research, we gained insights through an online survey for participants and organizers of the summer school (n = 27). Using qualitative content analysis, we identify seven crucial elements of transdisciplinary learning which can lead to transformative change on (a) a personal level, as the learning process shifts values and helps researchers identify their roles; (b) a research level, by rethinking science and providing tools for transdisciplinary approaches, and (c) a societal level, by moving from the individual to the collective and constructing a shared vision for a sustainable future. Participants highlighted how changes on all these levels could benefit biodiversity conservation. These insights point to the benefit of transdisciplinary learning opportunities that empower young researchers to take up their part in fostering transformative change.

There are diverse linkages between climate change and security including risks of conflict, national security concerns, critical national infrastructure, geo-political rivalries and threats to human security. We review analysis of these domains from primary research and from policy prescriptive and advocacy sources. We conclude that much analysis over-emphasises deterministic mechanisms between climate change and security. Yet the climate-security nexus is more complex than it appears and requires attention from across the social sciences. We review the robustness of present social sciences analysis in assessing the causes and consequences of climate change on human security, and identify new areas of research. These new areas include the need to analyse the absence of conflict in the face of climate risks and the need to expand the range of issues accounted for in analysis of climate and security including the impacts of mitigation response on domains of security. We argue for the necessity of robust theories that explain causality and associations, and the need to include theories of asymmetric power relations in explaining security dimensions. We also highlight the dilemmas of how observations and historical analysis of climate and security dimensions may be limited as the climate changes in ways that present regions with unprecedented climate risks.

In recent years, important concerns have been raised about the increasing capabilities of pricing algorithms to make use of artificial intelligence (AI) technologies. Two issues have gained particular attention: algorithmic price discrimination (PD) and algorithmic tacit collusion (TC). Although the risks and opportunities of both practices have been explored extensively in the literature, neither has yet been observed in the actual practice. As a result, there remains much confusion as to the ability of algorithms to engage in potentially harmful behavior with respect to price discrimination and collusion. In this article, we embed the economic and legal literature on these topics in a technological grounding to provide a more objective account of the capabilities of current AI technologies to engage in price discrimination and collusion. We argue that attention to these current technological capabilities should more directly inform on-going discussions on the urgency to reform legal rules or enforcement practices governing algorithmic PD and TC.

This article investigates how a discourse about the role and value of public participation in science, technology, and innovation emerged and evolved in the research policies of the European Commission. At the beginning of the twenty-first century, two main discourses have been successively institutionalized: the first focused on participation in policy-making, while the second aimed at participation in the production of knowledge and innovation. This paper distinguishes three main institutional phases: (i) a phase dedicated to public participation in the governance of science and technology (2000-2010); (ii) a reframing period of science and technology policies by the Commission to integrate the growing emphasis on innovation (2010-2014); (iii) a period focusing on co-creation and citizen science as new ways to involve the public in science and technology (2014-today). Factors such as individual commitments of key policy actors, specific epistemic communities and institutional dynamics within the Commission played a crucial role in shaping the policies of participation. But broader factors are also essential to account for these changes. In this respect, the economic crisis of the late 2000s appears fundamental to understanding how the conception and promotion of public participation in the European science and technology policies have evolved over time. This paper thus offers new insights to the analysis of the political economy of public participation. (HRK / Abstract übernommen).