TY - GEN
T1 - Autonomous Research Assistants for Hybrid Intelligence
T2 - 2025 AAAI Spring Symposium Series, SSS 2025
AU - Zamprogno, Giacomo
AU - Tiddi, Ilaria
AU - Verheij, Bart
N1 - Publisher Copyright:
Copyright © 2025, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2025/5/28
Y1 - 2025/5/28
N2 - We present an overview of AI-based tools assisting the research process, analyzing them from the point of view of Hybrid (human-AI) Intelligence (HI). While Autonomous Research Assistants (RAs) are gaining new interest by the latest advancements in AI (cf. Large Language Models), limitations arise when deployed in real-world use-cases. Starting from the hypothesis that principles from the emerging field of HI could enhance the synergy between researchers and AI tools, we explore what requirements allow to create HI RAs, using a survey of existing systems. We performed a review of 47 relevant articles published in the last 10 years, and we analyzed them according to various capabilities and characteristics proposed in the Hybrid Intelligence literature. Finally, we identify which future research lines could be followed to develop assistive systems that better combine the capabilities of humans and artificial RAs in a synergistic way.
AB - We present an overview of AI-based tools assisting the research process, analyzing them from the point of view of Hybrid (human-AI) Intelligence (HI). While Autonomous Research Assistants (RAs) are gaining new interest by the latest advancements in AI (cf. Large Language Models), limitations arise when deployed in real-world use-cases. Starting from the hypothesis that principles from the emerging field of HI could enhance the synergy between researchers and AI tools, we explore what requirements allow to create HI RAs, using a survey of existing systems. We performed a review of 47 relevant articles published in the last 10 years, and we analyzed them according to various capabilities and characteristics proposed in the Hybrid Intelligence literature. Finally, we identify which future research lines could be followed to develop assistive systems that better combine the capabilities of humans and artificial RAs in a synergistic way.
UR - https://www.scopus.com/pages/publications/105016521365
U2 - 10.1609/aaaiss.v5i1.35611
DO - 10.1609/aaaiss.v5i1.35611
M3 - Conference contribution
AN - SCOPUS:105016521365
VL - 5
T3 - AAAI Spring Symposium Series
SP - 350
EP - 358
BT - Proceedings of the 2025 AAAI Spring Symposium Series
A2 - Petrick, Ron
A2 - Geib, Christopher
PB - AAAI Press
Y2 - 31 March 2025 through 2 April 2025
ER -