Agency in sustained human-AI chatbot talks emerges as co-constructed turn-by-turn through boundary-setting and intention-steering, organized in a new 3-by-4 framework of actors and actions.
Canonical reference
A Human-Centered Review of Algorithms in Decision-MakinginHigherEducation
Canonical reference. 100% of citing Pith papers cite this work as background.
9
Pith papers citing it
Background
100% of classified citations
citation-role summary
background 6
citation-polarity summary
years
2026 9roles
background 6polarities
background 6representative citing papers
A new toolkit with cards and maps enables AI designers to juxtapose values and harms in early concept stages, shown valuable in designer surveys and interviews.
Designers using generative AI for concept envisioning engage in reciprocal reflection-in-action that surfaces multi-level value tensions and prioritizes harm recognition over positive value articulation.
Scientometric review of 15 years of Augmented Human conference papers shows bimodal submission peaks in 2015 and 2025, dominant topics in haptics and wearables, and an active Japanese community alongside definitional scope issues.
Prioritization algorithms in public services generate relative disparities among intersectional groups as resources become scarce, intensifying perceptions of inequality.
Organizational policies constrain agency in AI-mediated software engineering more than individual preferences, with seniors using detailed delegation and pre-AI instincts while juniors oscillate between over-reliance and avoidance.
A qualitative study of mixed-ability teams identifies four types of interrelated failures and workarounds in information representation use, influenced by stigmas and social dynamics.
Replica-based fairness audit of a college Early Warning System shows younger, male, and international students are disproportionately flagged for support, with post-processing amplifying disparities.
Barriers like non-adaptable data formats, legacy security, and cognitive skill gaps hinder GenUI adoption, requiring new scientific methods for evaluation and usage tracking.
citing papers explorer
-
Does My Chatbot Have an Agenda? Understanding Human and AI Agency in Human-Human-like Chatbot Interaction
Agency in sustained human-AI chatbot talks emerges as co-constructed turn-by-turn through boundary-setting and intention-steering, organized in a new 3-by-4 framework of actors and actions.
-
Developing an AI Concept Envisioning Toolkit to Support Reflective Juxtaposition of Values and Harms
A new toolkit with cards and maps enables AI designers to juxtapose values and harms in early concept stages, shown valuable in designer surveys and interviews.
-
How Designers Envision Value-Oriented AI Design Concepts with Generative AI
Designers using generative AI for concept envisioning engage in reciprocal reflection-in-action that surfaces multi-level value tensions and prioritizes harm recognition over positive value articulation.
-
15 Years of Augmented Human(s) Research: Where Do We Stand?
Scientometric review of 15 years of Augmented Human conference papers shows bimodal submission peaks in 2015 and 2025, dominant topics in haptics and wearables, and an active Japanese community alongside definitional scope issues.
-
The Paradox of Prioritization in Public Sector Algorithms
Prioritization algorithms in public services generate relative disparities among intersectional groups as resources become scarce, intensifying perceptions of inequality.
-
From Junior to Senior: Allocating Agency and Navigating Professional Growth in Agentic AI-Mediated Software Engineering
Organizational policies constrain agency in AI-mediated software engineering more than individual preferences, with seniors using detailed delegation and pre-AI instincts while juniors oscillate between over-reliance and avoidance.
-
"If We Had the Information That We Need to Interpret the World Around Us, We Wouldn't Be Disabled:" Barriers and Opportunities in Information Work among Blind and Sighted Colleagues
A qualitative study of mixed-ability teams identifies four types of interrelated failures and workarounds in information representation use, influenced by stigmas and social dynamics.
-
Fairness Audits of Institutional Risk Models in Deployed ML Pipelines
Replica-based fairness audit of a college Early Warning System shows younger, male, and international students are disproportionately flagged for support, with post-processing amplifying disparities.
-
Hidden Technical Debt in Generative (GenUI) and Malleable User Interfaces
Barriers like non-adaptable data formats, legacy security, and cognitive skill gaps hinder GenUI adoption, requiring new scientific methods for evaluation and usage tracking.