Jul 2026· International Conference on Conversational User Interfaces· 0 citations· 45 references
Computer Science
TL;DR
This work presents the findings of a conceptual review that describes four concepts of agency, including personal agency, social agency, institutional agency, and artificial agency, and argues for shifts from individualistic toward holistic approaches to developing agentic conversational AI systems that sustain the authors' diverse and evolving forms of human agency in everyday life.
Abstract
Conversational AI systems are increasingly presented as agentic, intended to carry out tasks on behalf of users with a degree of autonomy. While agentic conversational AI systems have the potential to improve work efficiency and quality of life, they also introduce new risks and harms. We present the findings of a conceptual review that describes four concepts of agency, including personal agency, social agency, institutional agency, and artificial agency. Based on these interrelated concepts, we present four provocations to foster discussion on the extent to which conversational AI systems are becoming agentic and in which ways these systems may support and impede human agency. In doing so, we focus attention on the performative affordances of agentic conversational AI systems and highlight the societal responsibilities involved in their design. We argue for shifts from individualistic toward holistic approaches to developing agentic conversational AI systems that sustain our diverse and evolving forms of human agency in everyday life.
This workshop aims to gather a multidisciplinary community to reflect on pressing challenges and uncertainties and explore risk analysis and mitigation strategies in CUI design and deployment and build an international network of scholars and practitioners to promote responsible and human-centred conversational AI.
Manveer Kalirai, C. Wei, Thomas Essmeyer et al.· International Conference on...· 0 citations
It is argued that intelligence alone cannot determine appropriate goals, guide action under uncertainty, or ensure beneficial human outcomes, and proposed artificial wisdom as a needed corrective for conversational systems.
Matthias Kraus· International Conference on...· 0 citations
This provocation argues that current uses of the term proactivity in the context of conversational AI are overly broad and conceptually imprecise, which limits the ability to design, compare, and evaluate proactive conversational agents.
Matthias Kraus, Sebastian Zepf, Jan Leusmann et al.· International Conference on...· 0 citations
This article develops a conceptual account of semantic displacement in conversational AI and proposes semantic sovereignty and interpretive contestability as normative ideals for human agency in AI-mediated environments.
A thematic analysis on open ended questions posed to participants after being led by either a human or CUI based leader on a collaborative task revealed five key themes around how they perceived the leader they were interacting with, highlighting key considerations designers should consider when creating such collabora...
James Simpson, Hamish Stening, Gaurav Patil et al.· International Conference on...· 0 citations
The analysis reveals that while artificial intelligence can simulate implicature-like meanings, these implicatures often lack intentionality, contextual sensitivity, and shared socio-cultural grounding, in contrast, human implicatures are deeply rooted in communicative intention, contextual awareness, and social norms.
Raghad Hawarin, Dr. Mahmod Eshreateh· Journal of Language, Literat...· 0 citations
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