The spontaneous organization of collective activities in animal groups and societies has attracted a considerable amount of attention over the last decade. This kind of coordination often permits group‐living species to achieve collective tasks that are far beyond single individuals' capabilities. In particular, a key benefit lies in the integration of partial knowledge of the environment at the collective level. In this contribution, we discuss various self‐organization phenomena in animal swarms and human crowds from the point of view of information (...) exchange among individuals. In particular, we provide a general description of collective dynamics across species and introduce a classification of these dynamics not only with respect to the way information is transferred among individuals but also with regard to the knowledge processing at the collective level. Finally, we highlight the fact that the individual’s ability to learn from past experiences can have a feedback effect on the collective dynamics, as experienced with the development of behavioral conventions in pedestrian crowds. (shrink)

Emerging technologies such as artificial intelligence, gene editing, nanotechnology, neurotechnology and robotics, which were originally unrelated or separated, are becoming more closely integrated. Consequently, the boundaries between the physical-biological and the cyber-digital worlds are no longer well defined. We argue that this technological convergence has fundamental implications for individuals and societies. Conventional domain-specific governance mechanisms have become ineffective. In this paper we provide an overview of the ethical, societal and policy challenges of technological convergence. Particularly, we scrutinize the adequacy of (...) domain-specific governance mechanisms in the face of such integrated technologies and highlight their growing ineffectiveness. Furthermore, we propose a comprehensive governance framework that is anticipatory, inclusive, and resilient. Central to this framework is the principle of participatory governance, which calls for a proactive engagement of all stakeholders, including those from marginalized and vulnerable populations, ensuring that their voices and concerns shape the trajectory of technological development. The framework emphasizes the need for protective measures that preemptively address potential risks and inequities that may arise from the adoption and integration of emerging technologies. Based on a detailed analysis of case studies and current governance models, we present and discuss a set of ten actionable recommendations. These are designed to facilitate the transition towards a governance approach that not only respects individual autonomy and privacy, but also fosters a collective responsibility towards sustainable and fair technological progress. By placing human dignity, societal welfare and the protection of the most vulnerable at the center of technological innovation, we advocate for a future where convergence is synonymous with progress that is both ethically grounded and universally beneficial. (shrink)

The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens’ privacy (...) and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens’ “personal data stores”, to be shared separately and selectively, voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and affords multiple benefits: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allow the user to share spatio-temporal aggregates—if and when they want and for specific aims—with health authorities, for instance. Second, we favour a longer-term pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society. (shrink)