Copertina

Co-constructing Explanations for AI Systems using Provenance

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kalo, Jan-Christoph, Polat, Fina, Guha, Shubha, Groth, Paul
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Human-Computer Interaction
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions
di: Bhattacharya, Aditya
Pubblicazione: (2023)

Editable XAI: Toward Bidirectional Human-AI Alignment with Co-Editable Explanations of Interpretable Attributes
di: Chen, Haoyang, et al.
Pubblicazione: (2026)

Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLens
di: Narechania, Arpit, et al.
Pubblicazione: (2025)

SuperProvenanceWidgets: Tracking and Visualizing Analytic Provenance Across UI Control Elements
di: Verma, Antariksh, et al.
Pubblicazione: (2026)

Traceable Text: Deepening Reading of AI-Generated Summaries with Phrase-Level Provenance Links
di: Kambhamettu, Hita, et al.
Pubblicazione: (2024)

ProvenanceWidgets: A Library of UI Control Elements to Track and Dynamically Overlay Analytic Provenance
di: Narechania, Arpit, et al.
Pubblicazione: (2024)

Categorizing Sources of Information for Explanations in Conversational AI Systems for Older Adults Aging in Place
di: Mathur, Niharika, et al.
Pubblicazione: (2024)

Examining the Effect of Explanations of AI Privacy Redaction in AI-mediated Interactions
di: Kaushik, Roshni, et al.
Pubblicazione: (2026)

Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI
di: Xuan, Yueqing, et al.
Pubblicazione: (2025)

Evaluating the Influences of Explanation Style on Human-AI Reliance
di: Casolin, Emma, et al.
Pubblicazione: (2024)

Explanations as Dialogues: Toward Human-Centered Conversational Explainable AI
di: Mathur, Niharika, et al.
Pubblicazione: (2026)

Bridging Generations using AI-Supported Co-Creative Activities
di: Kim, Callie Y., et al.
Pubblicazione: (2025)

Are We Asking the Right Questions?: Designing for Community Stakeholders' Interactions with AI in Policing
di: Haque, MD Romael, et al.
Pubblicazione: (2024)

The Impact of AI Explanations on Clinicians Trust and Diagnostic Accuracy in Breast Cancer
di: Rezaeian, Olya, et al.
Pubblicazione: (2024)

Evaluation of a Provenance Management Tool for Immersive Virtual Fieldwork
di: Bernstetter, Armin, et al.
Pubblicazione: (2025)

Inclusive Design of AI's Explanations: Just for Those Previously Left Out, or for Everyone?
di: Hamid, Md Montaser, et al.
Pubblicazione: (2024)

From OCR to Analysis: Tracking Correction Provenance in Digital Humanities Pipelines
di: Guo, Haoze, et al.
Pubblicazione: (2026)

Sometimes You Need Facts, and Sometimes a Hug: Understanding Older Adults' Preferences for Explanations in LLM-Based Conversational AI Systems
di: Mathur, Niharika, et al.
Pubblicazione: (2025)

Designing Effective AI Explanations for Misinformation Detection: A Comparative Study of Content, Social, and Combined Explanations
di: Gong, Yeaeun, et al.
Pubblicazione: (2025)

ERIOS: Co-construction of a Dynamic Temporal Visualization Tool in the Electronic Health Record
di: Robert, Louise, et al.
Pubblicazione: (2024)

Do Expressions Change Decisions? Exploring the Impact of AI's Explanation Tone on Decision-Making
di: Okoso, Ayano, et al.
Pubblicazione: (2025)

Better Together? The Role of Explanations in Supporting Novices in Individual and Collective Deliberations about AI
di: Schmude, Timothée, et al.
Pubblicazione: (2024)

Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise Selection
di: Ooge, Jeroen, et al.
Pubblicazione: (2024)

The Differential Effects of Agreeableness and Extraversion on Older Adults' Perceptions of Conversational AI Explanations in Assistive Settings
di: Mathur, Niharika, et al.
Pubblicazione: (2026)

A Human-Centered Review of Algorithms in Homelessness Research
di: Moon, Erina Seh-Young, et al.
Pubblicazione: (2024)

The Paradox of Prioritization in Public Sector Algorithms
di: Moon, Erina Seh-Young, et al.
Pubblicazione: (2026)

Empirical Insights into Analytic Provenance Summarization: A Study on Segmenting Data Analysis Workflows
di: Esmaeili, Shaghayegh, et al.
Pubblicazione: (2024)

From Data Dump to Digestible Chunks: Automated Segmentation and Summarization of Provenance Logs for Communication
di: Block, Jeremy E., et al.
Pubblicazione: (2024)

Debugging Defective Visualizations: Empirical Insights Informing a Human-AI Co-Debugging System
di: Shen, Shuyu, et al.
Pubblicazione: (2024)

SoundScape: A Human-AI Co-Creation System Making Your Memories Heard
di: Zhong, Chongjun, et al.
Pubblicazione: (2024)

From Data Creator to Data Reuser: Distance Matters
di: Borgman, Christine L., et al.
Pubblicazione: (2024)

Conversational Explanations: Discussing Explainable AI with Non-AI Experts
di: Zhang, Tong, et al.
Pubblicazione: (2025)

Do ATCOs Need Explanations, and Why? Towards ATCO-Centered Explainable AI for Conflict Resolution Advisories
di: Fennedy, Katherine, et al.
Pubblicazione: (2025)

The User-first Approach to AI Ethics: Preferences for Ethical Principles in AI Systems across Cultures and Contexts
di: Carroll, Benjamin J., et al.
Pubblicazione: (2025)

Experimental Interface for Multimodal and Large Language Model Based Explanations of Educational Recommender Systems
di: Abu-Rasheed, Hasan, et al.
Pubblicazione: (2024)

Aligning Judgment Using Task Context and Explanations to Improve Human-Recommender System Performance
di: Srivastava, Divya, et al.
Pubblicazione: (2024)

NeuroGaze: A Hybrid EEG and Eye-Tracking Brain-Computer Interface for Hands-Free Interaction in Virtual Reality
di: Coutray, Kyle, et al.
Pubblicazione: (2025)

Emotion-sensitive Explanation Model
di: Schütze, Christian, et al.
Pubblicazione: (2025)

The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing with Interactive Visualization
di: Hoque, Md Naimul, et al.
Pubblicazione: (2023)

"Who wants to be nagged by AI?": Investigating the Effects of Agreeableness on Older Adults' Perception of LLM-Based Voice Assistants' Explanations
di: Mathur, Niharika, et al.
Pubblicazione: (2026)