Before the Clinic: Transparent and Operable Design Principles for Healthcare AI
Fuente:
arXiv
Guardado en:
| Autores principales: | Bakumenko, Alexander, Masino, Aaron J., Hoelscher, Janine |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Transparent Early ICU Mortality Prediction with Clinical Transformer and Per-Case Modality Attribution
por: Bakumenko, Alexander, et al.
Publicado: (2025)
por: Bakumenko, Alexander, et al.
Publicado: (2025)
A New Digital Divide? Coder Worldviews, the Slop Economy, and Democracy in the Age of AI
por: Miklian, Jason, et al.
Publicado: (2025)
por: Miklian, Jason, et al.
Publicado: (2025)
Stochastic Parrots or Singing in Harmony? Testing Five Leading LLMs for their Ability to Replicate a Human Survey with Synthetic Data
por: Miklian, Jason, et al.
Publicado: (2026)
por: Miklian, Jason, et al.
Publicado: (2026)
Transparency in Healthcare AI: Testing European Regulatory Provisions against Users' Transparency Needs
por: Spagnolli, Anna, et al.
Publicado: (2025)
por: Spagnolli, Anna, et al.
Publicado: (2025)
AI, Climate, and Transparency: Operationalizing and Improving the AI Act
por: Alder, Nicolas, et al.
Publicado: (2024)
por: Alder, Nicolas, et al.
Publicado: (2024)
Advancing Trustworthy AI in Healthcare Through Meta-Research: Results of an Interdisciplinary Design-Thinking Workshop
por: Bürger, Valerie, et al.
Publicado: (2026)
por: Bürger, Valerie, et al.
Publicado: (2026)
The Imbalanced User-AI Relationships as an Ethical Failure of Front-End Design in Healthcare AI
por: Mwadime, Maureen Mghambi
Publicado: (2026)
por: Mwadime, Maureen Mghambi
Publicado: (2026)
The Limits of AI Data Transparency Policy: Three Disclosure Fallacies
por: Shen, Judy Hanwen, et al.
Publicado: (2026)
por: Shen, Judy Hanwen, et al.
Publicado: (2026)
Amplification to Synthesis: A Comparative Analysis of Cognitive Operations Before and After Generative AI
por: Cho, Liz, et al.
Publicado: (2026)
por: Cho, Liz, et al.
Publicado: (2026)
Practical Principles for AI Cost and Compute Accounting
por: Casper, Stephen, et al.
Publicado: (2025)
por: Casper, Stephen, et al.
Publicado: (2025)
AI in Education: Rationale, Principles, and Instructional Implications
por: Elstad, Eyvind
Publicado: (2024)
por: Elstad, Eyvind
Publicado: (2024)
Evaluating a Methodology for Increasing AI Transparency: A Case Study
por: Piorkowski, David, et al.
Publicado: (2022)
por: Piorkowski, David, et al.
Publicado: (2022)
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
por: Nasir, Sidra, et al.
Publicado: (2023)
por: Nasir, Sidra, et al.
Publicado: (2023)
Building Trust: Foundations of Security, Safety and Transparency in AI
por: Sidhpurwala, Huzaifa, et al.
Publicado: (2024)
por: Sidhpurwala, Huzaifa, et al.
Publicado: (2024)
Designing Explainable AI for Healthcare Reviews: Guidance on Adoption and Trust
por: Alamoudi, Eman, et al.
Publicado: (2026)
por: Alamoudi, Eman, et al.
Publicado: (2026)
Transparent AI: The Case for Interpretability and Explainability
por: Ramachandram, Dhanesh, et al.
Publicado: (2025)
por: Ramachandram, Dhanesh, et al.
Publicado: (2025)
Inclusivity of AI Speech in Healthcare: A Decade Look Back
por: Larasati, Retno
Publicado: (2025)
por: Larasati, Retno
Publicado: (2025)
Algorithmic Administration and the EU AI Act: Legal Principles for Public Sector Use of AI
por: Pavlidis, Georgios, et al.
Publicado: (2026)
por: Pavlidis, Georgios, et al.
Publicado: (2026)
STREAM (ChemBio): A Standard for Transparently Reporting Evaluations in AI Model Reports
por: McCaslin, Tegan, et al.
Publicado: (2025)
por: McCaslin, Tegan, et al.
Publicado: (2025)
Towards Meaningful Transparency in Civic AI Systems
por: Murray-Rust, Dave, et al.
Publicado: (2025)
por: Murray-Rust, Dave, et al.
Publicado: (2025)
Toward Safe and Responsible AI Agents: A Three-Pillar Model for Transparency, Accountability, and Trustworthiness
por: Cheng, Edward C., et al.
Publicado: (2026)
por: Cheng, Edward C., et al.
Publicado: (2026)
Bridging the Reproducibility Divide: Open Source Software's Role in Standardizing Healthcare AI
por: Wu, John, et al.
Publicado: (2026)
por: Wu, John, et al.
Publicado: (2026)
Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight
por: Chappidi, Shreya, et al.
Publicado: (2025)
por: Chappidi, Shreya, et al.
Publicado: (2025)
LLM-Based Bot Broadens the Range of Arguments in Online Discussions, Even When Transparently Disclosed as AI
por: Vuk, Valeria, et al.
Publicado: (2025)
por: Vuk, Valeria, et al.
Publicado: (2025)
The Pitfalls of "Security by Obscurity" And What They Mean for Transparent AI
por: Hall, Peter, et al.
Publicado: (2025)
por: Hall, Peter, et al.
Publicado: (2025)
AI Governance to Avoid Extinction: The Strategic Landscape and Actionable Research Questions
por: Barnett, Peter, et al.
Publicado: (2025)
por: Barnett, Peter, et al.
Publicado: (2025)
Constitutional Law and AI Governance: Constraints on Model Licensing and Research Classification
por: Mark, Alex, et al.
Publicado: (2025)
por: Mark, Alex, et al.
Publicado: (2025)
Co-Designing Interdisciplinary Design Projects with AI
por: Liow, Wei Ting, et al.
Publicado: (2025)
por: Liow, Wei Ting, et al.
Publicado: (2025)
Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems
por: Yuan, Chih-Cheng Rex, et al.
Publicado: (2024)
por: Yuan, Chih-Cheng Rex, et al.
Publicado: (2024)
Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
por: Papademas, Michael, et al.
Publicado: (2025)
por: Papademas, Michael, et al.
Publicado: (2025)
Technical Requirements for Halting Dangerous AI Activities
por: Barnett, Peter, et al.
Publicado: (2025)
por: Barnett, Peter, et al.
Publicado: (2025)
Towards AI Transparency and Accountability: A Global Framework for Exchanging Information on AI Systems
por: Buckley, Warren, et al.
Publicado: (2023)
por: Buckley, Warren, et al.
Publicado: (2023)
Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care
por: Rincon, John, et al.
Publicado: (2025)
por: Rincon, John, et al.
Publicado: (2025)
Agentic AI in Healthcare & Medicine: A Seven-Dimensional Taxonomy for Empirical Evaluation of LLM-based Agents
por: Vatsal, Shubham, et al.
Publicado: (2026)
por: Vatsal, Shubham, et al.
Publicado: (2026)
Totalitarian Technics: The Hidden Cost of AI Scribes in Healthcare
por: Brosnahan, Hugh
Publicado: (2025)
por: Brosnahan, Hugh
Publicado: (2025)
Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment
por: Nghiem, Huy, et al.
Publicado: (2025)
por: Nghiem, Huy, et al.
Publicado: (2025)
Towards Clinical AI Fairness: Filling Gaps in the Puzzle
por: Liu, Mingxuan, et al.
Publicado: (2024)
por: Liu, Mingxuan, et al.
Publicado: (2024)
The 2025 Foundation Model Transparency Index
por: Wan, Alexander, et al.
Publicado: (2025)
por: Wan, Alexander, et al.
Publicado: (2025)
Through the Looking-Glass: Transparency Implications and Challenges in Enterprise AI Knowledge Systems
por: Cortiñas-Lorenzo, Karina, et al.
Publicado: (2024)
por: Cortiñas-Lorenzo, Karina, et al.
Publicado: (2024)
The Doctor Will (Still) See You Now: On the Structural Limits of Agentic AI in Healthcare
por: Dias, Gabriela Aránguiz, et al.
Publicado: (2026)
por: Dias, Gabriela Aránguiz, et al.
Publicado: (2026)
Ejemplares similares
-
Transparent Early ICU Mortality Prediction with Clinical Transformer and Per-Case Modality Attribution
por: Bakumenko, Alexander, et al.
Publicado: (2025) -
A New Digital Divide? Coder Worldviews, the Slop Economy, and Democracy in the Age of AI
por: Miklian, Jason, et al.
Publicado: (2025) -
Stochastic Parrots or Singing in Harmony? Testing Five Leading LLMs for their Ability to Replicate a Human Survey with Synthetic Data
por: Miklian, Jason, et al.
Publicado: (2026) -
Transparency in Healthcare AI: Testing European Regulatory Provisions against Users' Transparency Needs
por: Spagnolli, Anna, et al.
Publicado: (2025) -
AI, Climate, and Transparency: Operationalizing and Improving the AI Act
por: Alder, Nicolas, et al.
Publicado: (2024)