Buchumschlag

The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Johnson, Nari, Moharana, Sanika, Harrington, Christina N., Andalibi, Nazanin, Heidari, Hoda, Eslami, Motahhare
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Human-Computer Interaction
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs
von: Johnson, Nari, et al.
Veröffentlicht: (2024)

Disclosure or Marketing? Analyzing the Efficacy of Vendor Self-reports for Vetting Public-sector AI
von: Kuehnert, Blaine, et al.
Veröffentlicht: (2026)

'Simulacrum of Stories': Examining Large Language Models as Qualitative Research Participants
von: Kapania, Shivani, et al.
Veröffentlicht: (2024)

Strategies for Designing Responsibly within a Capitalist Enterprise
von: Xie, Shixian, et al.
Veröffentlicht: (2026)

"It's the only thing I can trust": Envisioning Large Language Model Use by Autistic Workers for Communication Assistance
von: Jang, JiWoong, et al.
Veröffentlicht: (2024)

Breaking Political Filter Bubbles via Social Comparison
von: Soliman, Nouran, et al.
Veröffentlicht: (2024)

Vipera: Towards systematic auditing of generative text-to-image models at scale
von: Huang, Yanwei, et al.
Veröffentlicht: (2025)

Children's Overtrust and Shifting Perspectives of Generative AI
von: Solyst, Jaemarie, et al.
Veröffentlicht: (2024)

MIRAGE: Multi-model Interface for Reviewing and Auditing Generative Text-to-Image AI
von: Maldaner, Matheus Kunzler, et al.
Veröffentlicht: (2025)

Seeing Twice: How Side-by-Side T2I Comparison Changes Auditing Strategies
von: Maldaner, Matheus Kunzler, et al.
Veröffentlicht: (2025)

Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption
von: Yu, Rebecca, et al.
Veröffentlicht: (2025)

"Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizations
von: Moharana, Sanika, et al.
Veröffentlicht: (2025)

What Comes After Harm? Mapping Reparative Actions in AI through Justice Frameworks
von: Xiao, Sijia, et al.
Veröffentlicht: (2025)

"I Don't Think RAI Applies to My Model'' -- Engaging Non-champions with Sticky Stories for Responsible AI Work
von: Nahar, Nadia, et al.
Veröffentlicht: (2025)

WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI
von: Deng, Wesley Hanwen, et al.
Veröffentlicht: (2025)

Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI
von: Huang, Yanwei, et al.
Veröffentlicht: (2025)

The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals
von: Kawakami, Anna, et al.
Veröffentlicht: (2024)

"For Us By Us": Intentionally Designing Technology for Lived Black Experiences
von: Egede, Lisa, et al.
Veröffentlicht: (2024)

Critical or Compliant? The Double-Edged Sword of Reasoning in Chain-of-Thought Explanations
von: Park, Eunkyu, et al.
Veröffentlicht: (2025)

Navigating Uncertainties: How GenAI Developers Document Their Models on Open-Source Platforms
von: Tang, Ningjing, et al.
Veröffentlicht: (2025)

Beyond the Single Turn: Reframing Refusals as Dynamic Experiences Embedded in the Context of Mental Health Support Interactions with LLMs
von: Tang, Ningjing, et al.
Veröffentlicht: (2026)

Investigating Youth AI Auditing
von: Solyst, Jaemarie, et al.
Veröffentlicht: (2025)

Public Technologies Transforming Work of the Public and the Public Sector
von: Kim, Seyun, et al.
Veröffentlicht: (2024)

Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use
von: Kawakami, Anna, et al.
Veröffentlicht: (2024)

Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
von: Johnson, Nari, et al.
Veröffentlicht: (2023)

Provocation: Who benefits from "inclusion" in Generative AI?
von: Dalal, Samantha, et al.
Veröffentlicht: (2024)

PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teaming
von: Deng, Wesley Hanwen, et al.
Veröffentlicht: (2025)

"It Might be Technically Impressive, But It's Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry
von: Xiao, Qing, et al.
Veröffentlicht: (2024)

Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities
von: Hsieh, Jane, et al.
Veröffentlicht: (2024)

Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
von: Zheng, Mingqian, et al.
Veröffentlicht: (2025)

Emerging Practices in Participatory AI Design in Public Sector Innovation
von: Saxena, Devansh, et al.
Veröffentlicht: (2025)

YT-Pilot: Turning YouTube into Structured Learning Pathways with Context-Aware AI Support
von: Albassam, Dina, et al.
Veröffentlicht: (2026)

Introducing IHARDS-CNN: A Cutting-Edge Deep Learning Method for Human Activity Recognition Using Wearable Sensors
von: Sedaghati, Nazanin, et al.
Veröffentlicht: (2024)

The "Who", "What", and "How" of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools
von: Kuehnert, Blaine, et al.
Veröffentlicht: (2025)

Red-Teaming for Generative AI: Silver Bullet or Security Theater?
von: Feffer, Michael, et al.
Veröffentlicht: (2024)

On the Pros and Cons of Active Learning for Moral Preference Elicitation
von: Keswani, Vijay, et al.
Veröffentlicht: (2024)

PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI
von: Deng, Wesley Hanwen, et al.
Veröffentlicht: (2026)

What People See (and Miss) About Generative AI Risks: Perceptions of Failures, Risks, and Who Should Address Them
von: Li, Megan, et al.
Veröffentlicht: (2026)

A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology
von: Morrison, Katelyn, et al.
Veröffentlicht: (2025)

Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions
von: Keswani, Vijay, et al.
Veröffentlicht: (2025)