Human-Centered Artificial Intelligence (HCAI) is a new frontier of research at the intersection between HCI and AI. It fosters an innovative vision of human-centred intelligent systems, which are systems that take advantage of computer features, such as powerful algorithms, big data management, advanced sensors and that are useful and usable for people, providing high levels of automation and enabling high levels of human control. This position paper presents our ongoing research aiming to extend the HCAI framework for better supporting designers in creating AI-based systems.

A Human-centric AI-driven Framework for Exploring Large and Complex Datasets / Costabile, Maria F.; Desolda, Giuseppe; Dimauro, Giovanni; Lanzilotti, Rosa; Loiacono, Daniele; Matera, Maristella; Zancanaro, Massimo. - 3136:(2022), pp. 9-13. ((Intervento presentato al convegno CoPDA 2022 co-located with AVI 2022 tenutosi a Frascati, Roma, Italia nel 7th June 2022.

A Human-centric AI-driven Framework for Exploring Large and Complex Datasets

Zancanaro, Massimo
2022-01-01

Abstract

Human-Centered Artificial Intelligence (HCAI) is a new frontier of research at the intersection between HCI and AI. It fosters an innovative vision of human-centred intelligent systems, which are systems that take advantage of computer features, such as powerful algorithms, big data management, advanced sensors and that are useful and usable for people, providing high levels of automation and enabling high levels of human control. This position paper presents our ongoing research aiming to extend the HCAI framework for better supporting designers in creating AI-based systems.
Proceedings of the Sixth International Workshop on Cultures of Participation in the Digital Age: AI for Humans or Humans for AI?. Co-located with the International Conference on Advanced Visual Interfaces
Aachen
CEUR-WS
Costabile, Maria F.; Desolda, Giuseppe; Dimauro, Giovanni; Lanzilotti, Rosa; Loiacono, Daniele; Matera, Maristella; Zancanaro, Massimo
A Human-centric AI-driven Framework for Exploring Large and Complex Datasets / Costabile, Maria F.; Desolda, Giuseppe; Dimauro, Giovanni; Lanzilotti, Rosa; Loiacono, Daniele; Matera, Maristella; Zancanaro, Massimo. - 3136:(2022), pp. 9-13. ((Intervento presentato al convegno CoPDA 2022 co-located with AVI 2022 tenutosi a Frascati, Roma, Italia nel 7th June 2022.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/348319
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