The supportive AI framework: from recommending to supporting
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Autor:in (Körperschaft)
Publikationsdatum
25.06.2025
Typ der Arbeit
Studiengang
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Augmented cognition
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
1
Ausgabe / Nummer
Seiten / Dauer
303–317
Patentnummer
Verlag / Herausgebende Institution
Springer
Verlagsort / Veranstaltungsort
Cham
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
This paper presents the Supportive AI Framework, a conceptual framework for the design of human-AI collaboration to augment human cognition. AI-based decision support systems that are recommendation-driven (i.e. the AI makes a recommendation, and the human must decide whether to accept or reject it) often overstrain humans. The reason for this is the problem known as the ‘ironies of automation’, which occurs when humans are expected to supervise a technology that exceeds human capabilities. In terms of recommendation-driven AI, this is an impossible task for humans, as they must decide on AI-generated recommendations that take into account far more data and factors than humans are able to consider. Against this background, the Supportive AI Framework aims to go beyond recommendation-driven AI towards AI that explicitly supports cognitive processes of human decision-making, human learning, human trusting, and human motivation. This as a complement to providing comprehensibility through explainable AI and interpretable models. The Supportive AI Framework is theory-based and includes theories from the areas of natural decision making, experiential learning, intrinsic motivation, socio-technical system design and complementary function allocation.
Schlagwörter
Human-AI collaboration, Augmented cognition, Decision-making, Critical infrastructure, Complementary function allocation
Veranstaltung
19th International Conference, AC 2025 and 27th HCI International Conference, HCII 2025
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
22.06.2025
Enddatum der Konferenz
27.06.2025
Datum der letzten Prüfung
27.11.2025
ISBN
978-3-031-93723-1
978-3-031-93724-8
978-3-031-93724-8
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Closed
Lizenz
Zitation
Wäfler, T., Hamouche, S., & Eisenegger, A. (2025). The supportive AI framework: from recommending to supporting. In D. D. Schmorrow & C. M. Fidopiastis (Eds.), Augmented cognition (Vol. 1, pp. 303–317). Springer. https://doi.org/10.1007/978-3-031-93724-8_22