AIxAS – Artificial Intelligence for an Ageing Society
Università degli Studi di Milano-Bicocca
Luigia Carlucci Aiello
Università degli Studi di Roma "La Sapienza"
Ambito e Obiettivi
The AIxAS Working Group studies the society of the future as characterized by the growing presence of long-lived citizens and by the need to design technologically advanced infrastructures and services to sustain their Active Ageing.
Longevity and a decline in both mortality and fertility rates are major factors behind the increasing proportion of elderly in the population. Population ageing is a global phenomenon now occurring fastest in high and middle-income countries, being Europe (Italy in top position) and Japan at the first places experiencing an Ageing Society. Demographic projections show that by 2025 the number of people aged 65 and over will be the 23% of the population, being 32% in 2050.
Demographic shifts are joined to the tilt towards an urban planet, started from 2007: by 2025 the 59% of the global population will live in cities and urban agglomerates, being urbanization one of the global trends of the 21st Century. The WHO has recognized the convergence of ageing and urbanization trends, introducing the concept of “Age-friendly City”: a framework for urban development encouraging an Active Ageing of the population.
Any aspect facing with the impact of longevity of people is characterized by a multidisciplinary intrinsic nature: the ageing process is multifaceted and multidimensional, and it touches upon a broad range of disciplines (including demography, psychology, sociology, economics, statistics, engineering, ICT, biotechnologies and medicine). Ageing Society research ought to span multiple disciplines and question from a variety of perspectives. Therefore, for future-oriented research approaches, public institutions and science academies are required to think about the best ways of incorporating multidisciplinary principles into the design of innovative research and application falls. These technologies must be adequate to promote the comfort and mobility of the elderly and to maximize their capacity of decision-making. The technological challenges coming from the increasing Ageing Society must take in great consideration also ethical issues to design conceptual frameworks and practical policies for the development of Ethically Sustainable Technologies.
The AIxAGEING SOCIETY Working Group (AIxAS) is based on a strongly cross-disciplinary research approach, inviting all the cultural, scientific and social actors involved in the Ageing Society challenges to join the group and contribute to design and develop innovative solutions based on Artificial Intelligence, aiming at fostering the health and the inclusion of older people in social life.
The AIxAGEING SOCIETY Working Group (AIxAS) is characterized by a methodological interplay between advanced tools for research on ageing phenomena, combined with approaches for the development of innovative technologies. The research contribution developed within the AIxAS Working Group will provide knowledge, data and experiences useful for city managers and policy makers involved in the design of innovative solutions to sustain the Active Ageing of long-living inhabitants interacting with multiple technology-based services.
Topics of interest:
- Ambient Assisted Living
- Inclusive Mobility in smart Cities
- Intelligent Design of Adaptive and Monitoring Systems
- Intelligent Flexible Architectures
- Medical Informatics
- Methodological issues
Iniziative ed Eventi
The group annually organizes the Italian Workshop on “Artificial Intelligence for Ambient Assisted Living” (AI*AAL.it) within the AIxIA conference.
- 2020 – Online, Italy (AIxIA ’20)
- 2019 – Rende, Italy (AIxIA ’19)
- 2018 – Trento, Italy (AIxIA ’18)
- 2017 – Bari, Italy (AIxIA ‘17)
- 2016 – Genova, Italy (AIxIA ’16)
- 2014 – Pisa, Italy (AIxIA’14)
- 2013 – Turin, Italy (AIxIA’13)
- 2011 – Palermo, Italy (AIxIA’11)
- 2010 – Brescia, Italy (AIxIA’10)
Membri e Affiliati
- Silvana Badaloni, Università degli Studi di Padova (Padova)
- Massimo Bertoncini, Engineering SPA (Roma)
- Roberto Bisiani, Università degli Studi di Milano-Bicocca (Milano)
- Stefano Cagnoni, Università degli Studi di Parma (Parma)
- Amedeo Cesta, ISTC-CNR (Roma)
- Alfonso Gerevini, Università degli Studi di Brescia (Brescia)
- Attilio Giordana, Università degli Studi del Piemonte Orientale (Alessandria)
- Evelina Lamma, Università degli Studi di Ferrara (Ferrara)
- Sara Manzoni, Università degli Studi di Milano-Bicocca (Milano)
- Paola Mello, Università degli Studi di Bologna (Bologna)
- Monica Mordonini, Università degli Studi di Parma (Parma)
- Maria Teresa Pazienza, Università degli Studi di Roma "Tor Vergata" (Roma)
- Stefano Pinardi, Università degli Studi di Milano-Bicocca (Milano)
- Piero Poccianti, Gruppo MPS - Monte dei Paschi di Siena (Siena)
- Alessandro Saetti, Università degli Studi di Brescia (Brescia)
- Fabio Sartori, Università degli Studi di Milano-Bicocca (Milano)
- Raimondo Schettini, Università degli Studi di Milano-Bicocca (Milano)