Cover Image

Application of the NIST AI Risk Management Framework to Surveillance Technology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Swaminathan, Nandhini, Danks, David
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence K.4.1, K.5.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Commercial AI, Conflict, and Moral Responsibility: A theoretical analysis and practical approach to the moral responsibilities associated with dual-use AI technology
by: Trusilo, Daniel, et al.
Published: (2024)

Getting Ready for the EU AI Act in Healthcare. A call for Sustainable AI Development and Deployment
by: Brodersen, John Brandt, et al.
Published: (2025)

The Open-Weight Paradox: Why Restricting Access to AI Models May Undermine the Safety It Seeks to Protect
by: Gomes, Vinicius Santana
Published: (2026)

The Necessity of AI Audit Standards Boards
by: Manheim, David, et al.
Published: (2024)

Assessing the Auditability of AI-integrating Systems: A Framework and Learning Analytics Case Study
by: Fernsel, Linda, et al.
Published: (2024)

Catastrophic Liability: Managing Systemic Risks in Frontier AI Development
by: Kierans, Aidan, et al.
Published: (2025)

How to Count AIs: Individuation and Liability for AI Agents
by: Arbel, Yonathan, et al.
Published: (2026)

PRISM Risk Signal Framework: Hierarchy-Based Red Lines for AI Behavioral Risk
by: Lee, Seulki
Published: (2026)

The Dual Imperative: Innovation and Regulation in the AI Era
by: Carvão, Paulo
Published: (2024)

Beyond Explanation: Evidentiary Rights for Algorithmic Accountability
by: Stewart, Matthew
Published: (2026)

The Problem of Algorithmic Collisions: Mitigating Unforeseen Risks in a Connected World
by: Chiodo, Maurice, et al.
Published: (2025)

Navigating Governance Paradigms: A Cross-Regional Comparative Study of Generative AI Governance Processes & Principles
by: Luna, Jose, et al.
Published: (2024)

The Artificial Intelligence Value Chain: A Critical Appraisal. [Spanish Version]
by: Casanovas, Pompeu
Published: (2025)

Decision Trace Schema for Governance Evidence in Real-Time Risk Systems
by: Solozobov, Oleg
Published: (2026)

Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis
by: Chakraborty, Attrayee, et al.
Published: (2024)

AI Integrity: A New Paradigm for Verifiable AI Governance
by: Lee, Seulki
Published: (2026)

The Accountability Paradox: How Platform API Restrictions Undermine AI Transparency Mandates
by: Burnat, Florian A. D., et al.
Published: (2025)

Automating Sexual Injustice: Epistemic Injustice in Fembot Design and Feminist Directions for Equitable HRI
by: Bhardwaj, Surabhi
Published: (2026)

On the Complexities of Testing for Compliance with Human Oversight Requirements in AI Regulation
by: Langer, Markus, et al.
Published: (2025)

Exploring the "Banality" of Deception in Generative AI
by: Narwane, Ishitaa, et al.
Published: (2026)

A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms
by: Abercrombie, Gavin, et al.
Published: (2024)

The State's Politics of "Fake Data"
by: Liu, Chuncheng, et al.
Published: (2026)

Agentic AI, Retrieval-Augmented Generation, and the Institutional Turn: Legal Architectures and Financial Governance in the Age of Distributional AGI
by: Osmond, Marcel
Published: (2026)

A Three Steps Methodological Approach to Legal Governance Validation
by: Casanovas, Pompeu, et al.
Published: (2024)

The Signalgate Case is Waiving a Red Flag to All Organizational and Behavioral Cybersecurity Leaders, Practitioners, and Researchers: Are We Receiving the Signal Amidst the Noise?
by: Lowry, Paul Benjamin, et al.
Published: (2025)

Weak Enforcement and Low Compliance in PCI DSS: A Comparative Security Study
by: Park, Soonwon, et al.
Published: (2025)

Buy versus Build an LLM: A Decision Framework for Governments
by: Lu, Jiahao, et al.
Published: (2026)

An Analysis of the New EU AI Act and A Proposed Standardization Framework for Machine Learning Fairness
by: Teodorescu, Mike, et al.
Published: (2025)

Ethical Artificial Intelligence Principles and Guidelines for the Governance and Utilization of Highly Advanced Large Language Models
by: Hossain, Soaad, et al.
Published: (2023)

The Workflow as Medium: A Framework for Navigating Human-AI Co-Creation
by: Ackerman, Lee
Published: (2025)

How Can AI Augment Access to Justice? Public Defenders' Perspectives on AI Adoption
by: Cheong, Inyoung, et al.
Published: (2025)

Imago Obscura: An Image Privacy AI Co-pilot to Enable Identification and Mitigation of Risks
by: Monteiro, Kyzyl, et al.
Published: (2025)

What is Safety? Corporate Discourse, Power, and the Politics of Generative AI Safety
by: De, Ankolika, et al.
Published: (2026)

Selecting for Less Discriminatory Algorithms: A Relational Search Framework for Navigating Fairness-Accuracy Trade-offs in Practice
by: Samad, Hana, et al.
Published: (2025)

Why we need an AI-resilient society
by: Bartz-Beielstein, Thomas
Published: (2019)

Beyond Tools: Generative AI as Epistemic Infrastructure in Education
by: Chen, Bodong
Published: (2025)

Superhuman Game AI Disclosure: Expertise and Context Moderate Effects on Trust and Fairness
by: Chua, Jaymari, et al.
Published: (2025)

Criminal Liability in AI-Enabled Autonomous Vehicles: A Comparative Study
by: Singh, Sahibpreet, et al.
Published: (2025)

Computable Gap Assessment of Artificial Intelligence Governance in Children's Centres: Evidence-Mechanism-Governance-Indicator Modelling of UNICEF's Guidance on AI and Children 3.0 Based on the Graph-GAP Framework
by: Meng, Wei
Published: (2025)

The Architecture of Trust: A Framework for AI-Augmented Real Estate Valuation in the Era of Structured Data
by: Teikari, Petteri, et al.
Published: (2025)