Oct 2026· Science Technology & Human Values· 51 references
Ethics and Social Impacts of AI
Abstract
Despite increasing integration of Big Data into law enforcement globally, few studies have examined how police officers construct ethical narratives around it. Drawing on Science and Technology Studies (STS), this article adopts a sociotechnical perspective to analyze how police officers in Portugal engage with ethical discourse on Big Data in policing and criminal investigations. Based on thirty-four interviews with members of the Judiciary Police (Polícia Judiciária) and the Public Security Police (Polícia de Segurança Pública), the article reveals how ethical considerations are strategically mobilized to legitimize Big Data adoption while minimizing external scrutiny. Though officers acknowledge risks, such as privacy violations and threats to human rights, these concerns are framed in ways that shift responsibility to lawmakers and information technology professionals. Furthermore, public engagement is not positioned as a tool for democratic deliberation but as a performative mechanism to secure societal acceptance of Big Data policing. These narratives exemplify a broader phenomenon of “ethics washing” where ethical discourse functions as a strategic tool to reinforce institutional legitimacy and facilitate technological adoption. By conceptually extending the notions of ethics washing and performativity to the field of policing, based on an empirical example, this article contributes to STS research on technology ethics and Big Data.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...
Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al.· Neural Information Processin...· 302 citations· ⚡60
A machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation.