activity
20202023
most citedBias in Machine Learning -- What is it Good for?

51 citations · 114 across the 12 of their papers we have counts for

collaborators

14 papers

cs.AI2023★ 9 cited

Human-AI Coevolution

Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina +14

Human-AI coevolution, defined as a process in which humans and AI algorithms continuously influence each other, increasingly characterises our society, but is understudied in artif…

cs.CY2023

ACROCPoLis: A Descriptive Framework for Making Sense of Fairness

Andrea Aler Tubella, Dimitri Coelho Mollo, Adam Dahlgren Lindström +8

Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available.…

cs.CY2023★ 1 cited

On the importance of AI research beyond disciplines

Virginia Dignum, Donal Casey, Teresa Cerratto-Pargman +17

As the impact of AI on various scientific fields is increasing, it is crucial to embrace interdisciplinary knowledge to understand the impact of technology on society. The goal is…

cs.CY2022★ 2 cited

Good AI for Good: How AI Strategies of the Nordic Countries Address the Sustainable Development Goals

Andreas Theodorou, Juan Carlos Nieves, Virginia Dignum

Developed and used responsibly Artificial Intelligence (AI) is a force for global sustainable development. Given this opportunity, we expect that the many of the existing guideline…

cs.CY2022★ 2 cited

Let it RAIN for Social Good

Mattias Brännström, Andreas Theodorou, Virginia Dignum

Artificial Intelligence (AI) as a highly transformative technology take on a special role as both an enabler and a threat to UN Sustainable Development Goals (SDGs). AI Ethics and…

cs.CY2022★ 9 cited

Responsible Artificial Intelligence -- from Principles to Practice

Virginia Dignum

The impact of Artificial Intelligence does not depend only on fundamental research and technological developments, but for a large part on how these systems are introduced into soc…