December 13- December 15, 2024 / WEB Conference International Symposium on the Analytic Hierarchy Process
Follow @isahp_conf
FRIDAY, DECEMBER 13, 2024 8:00 AM - 9:30 AM
SATURDAY, DECEMBER 14, 20248:00 AM - 9:00AM
Integrating ethics in AI decision making systems: challenges and opportunities
One of the principal risks, urgently identified by the European AI-ACT, is the potential for AI systems to substitute human decisions in vital spheres of human life (education, health, economy, legal, etc.).
My speech aims to reflect on the diverse options for integrating the ethical principles in AI systems in a way that, using Florid words: “promotes human self-realization, enhances human capabilities, increases social capacities, and cultivates social cohesion”. (Floridi et al., 2018a).
I will start by presenting the main concerns regarding ethics in AI. My second point will define ethics and highlight its potential to guide the development of a human-oriented AI. I will finalize my contribution by proposing ways for the effective and legitimate integration of ethical principles in AI systems.
Dr. José-Félix Lozano is a Full Professor of Business Ethics, Engineering Ethics, and Research Ethics at the Polytechnic University of Valencia and an associate researcher at the Ingenio Institute (CSIC-UPV).
He has been Seconded National Expert at the European Research Council (Brussels) as an Ethics Officer from October 2020 to October 2022.
His research has resulted in more than 70 publications and 16 book chapters by prestigious publishers. These include publications on business and professional ethics and training for responsibility in specialised journals, including the Journal of Business Ethics, Science and Engineering Ethics, Journal of Academic Ethics, Journal of Philosophy of Education, and Journal of Responsible Innovation, among others.
FRIDAY, DECEMBER 13, 2024 1:30 PM - 2:30 PM
Shaping sustainable urban mobility: the role of AHP and decision-support methods in participatory transport planning
The keynote speech will present some applications of AHP in combination with other decision-support methods and tools (e.g. agent-based modelling, the Delphi method, GIS) to support participatory decision-making processes in transport planning.
Transport planning has been traditionally seen as a technocratic process, aimed at analysing the transport system, defining and choosing solutions based on the results of technical analyses. Nowadays, thanks to the sustainable mobility paradigm, the approach has changed towards participatory decision-making processes. However, it is not easy to understand how to engage stakeholders and citizens to find solutions that are technically-sound, while satisfying multiple preferences and expectations. Since transport decisions typically involve multiple criteria of judgments, the rationale behind the speech is to understand how multi-criteria decision-making methods and, in particular, AHP, could be used to support participatory transport planning.
Michela Le Pira, PhD, is a currently a Research fellow/lecturer in Transport Planning at the University of Catania (Italy). As a PhD student, her research focused on public participation in transport planning supported by agent-based modelling and multi-criteria decision methods.
She worked As a Post-doc researcher at University of Roma Tre and focused on participatory decision-support methods for sustainable urban freight transport policy-making. As a research fellow at the University of Catania and guest researcher at TU Delft (Netherlands) and UCD Dublin (Ireland), she investigated new scenarios for both passengers and freight transport. She has co-authored more than 80 indexed papers, and she is Associate Editor of Research in Transportation Business and Management (Elsevier) and member of the Editorial Boards of several Journals, like Research in Transportation Economics (Elsevier), Journal of Advanced Transportation (Hindawi), and Scientific Reports (Springer Nature). She is currently the Director of the Studies and Research of AIIT – the Italian Association for Traffic and Transport Engineering.
*required information
Email Address:*
Name:*
Country:*
Affiliation: