How to make an AI algorithm more "ecological"
CI LECTURES - How to make an AI algorithm more "ecological"
How to make an AI algorithm more "ecological"
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
Loading virtual attendance info...
- Contact Event Host
-
CI LECTURES - How to make an AI algorithm more "ecological" - Tania di Mascio, associate professor in Information and Elaboration Systems at the Department of Information Engineering, Computer Science, and Mathematics (DISIM) of the University of L'Aquila, Italy.
- Co-sponsored by Dalila Alves Durães
- Survey: Fill out the survey
Speakers
Tania Di Mascio of Centro ALGORITMI / LASI
CI LECTURES - How to make an AI algorithm more "ecological"
Nowadays, Artificial Intelligence, Sensors Technology, and Internet-of-Things affect people’s behavior in everyday life. Technology, in general, cannot yet be considered diversity-neutral: it is enough to consider, for example, a gender bias of smartphones primarily designed by males for the male hand size. The uniqueness, if valued, may constitute opportunities for the whole society. Hence the need to consider it in the technology life cycle. This talk presents an Internet-of-Things solution represented by smart totems for advertisement and way-finding services within advanced ICT-based shopping malls that are conceived as a sentient spaces. To take into account the specificity of final users and to increase awareness of the people's uniqueness in the design of Internet-of-Things, a User-Centered Design methodology has been used. Scenarios and Personas have been created to consciously seek diversity biases. This identification is then exploited to make Artificial Intelligence algorithms ecological, i.e., adapted to the real context of use.
Biography:
Tania Di Mascio is an associate professor in Information and Elaboration Systems at the Department of Information Engineering, Computer Science, and Mathematics (DISIM) of the University of L'Aquila. She is an Innovation Manager, she is co-founder and CXO of the Project Innovation start-up. She is also Data Protection Manager and User-Centered Design team coordinator within several EU projects. She obtained a Ph.D. degree working in Human-Computer Interaction (HCI) research field and she was awarded a master’s degree in Electronic Engineering. Her primary research activities are in HCI, user interface usability and accessibility, Assistive Technology as well as in Technology Enhanced Learning. She is the author or co-author of more than 100 papers in peer-reviewed journals and international and national conferences. She is a Steering Committees member of the International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning, Information Visualization of Learning Analytics. She is the UnivAQ responsible for the CINI AT node. She is an active member of SIGCHI, the center of excellence of DEWS and HiPEAC. She coordinates the ATES@UnivAQ group
Address:L'Aquila, Italy
Agenda
CI LECTURES - How to make an AI algorithm more "ecological" - Tania di Mascio, associate professor in Information and Elaboration Systems at the Department of Information Engineering, Computer Science, and Mathematics (DISIM) of the University of L'Aquila, Italy.
Tania di Mascio, associate professor in Information and Elaboration Systems at the Department of Information Engineering, Computer Science, and Mathematics (DISIM) of the University of L'Aquila, Italy.