Governing artificial intelligence (AI) requires cooperation, although the collaboration's form
remains unclear. Technological frames provide a theoretical perspective for understanding …

Commercializing responsible artificial intelligence (RAI) involves translating ethical
principles for developing, deploying, and using AI into business models. However, prior …

In the last decades, Artificial intelligence (AI) systems have been increasingly adopted in
assistive (possibly collaborative) decision-making tools. In particular, AI-based persuasive …

The widespread implementation of smart meters (SM) and the deployment of the advanced
metering infrastructure (AMI) provide large amounts of fine-grained data on prosumers …

En un contexto de ecosistemas digitales mundialmente cuestionados, este artículo examina
el papel y la contribución de la UE al concepto emergente de la gobernanza de la …

O uso crescente de sistemas baseados em Inteligência Artificial (IA) em diversas áreas do
nosso cotidiano provoca o aumento da consciência sobre as implicações éticas do seu uso …

This paper introduces the Blockchain-Based Trustworthy Artificial Intelligence (AI) Supported
by Stakeholders-In-The-Loop Model (BCTrustAI. SL) that incorporates sociotechnical …

We propose a method to specify and evaluate the trustworthiness of AI-based systems using
scenarios and design tactics. Using our trustworthiness scenarios and design tactics, we can …

With digital ecosystems being questioned around the world, this paper examines the EU's
role in and contribution to the emerging concept of artificial intelligence (AI) governance …

Beyond living through a technological revolution, we now live in the age of Artificial
Intelligence (AI)(Scherer 2016). While this idea is not new, it is easier than ever before to …