Copertina

To Be, Or Not To Be?: Regulating Impossible AI in the United States

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Sharma, Maanas Kumar
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Political Neutrality in AI Is Impossible- But Here Is How to Approximate It
di: Fisher, Jillian, et al.
Pubblicazione: (2025)

Prompt Optimization as a State-Space Search Problem
di: Taneja, Maanas
Pubblicazione: (2025)

The Impossibility of Cohesion Without Fragmentation
di: Hirota, Daisuke
Pubblicazione: (2026)

Regulating AI Agents
di: Gardhouse, Kathrin, et al.
Pubblicazione: (2026)

Algorithmic Governance in the United States: A Multi-Level Case Analysis of AI Deployment Across Federal, State, and Municipal Authorities
di: Dedyaev, Maxim
Pubblicazione: (2026)

The AI Pentad, the CHARME$^{2}$D Model, and an Assessment of Current-State AI Regulation
di: Gao, Di Kevin, et al.
Pubblicazione: (2025)

Quantifying the AI Gap: A Comparative Index of Development in the United States and Chinese Regions
di: Li, Yuanxi, et al.
Pubblicazione: (2025)

AI Integration In ERP Evaluation Across Trends and Architectures
di: Sharma, Monu
Pubblicazione: (2025)

A Synergistic Approach to Wildfire Prevention and Management Using AI, ML, and 5G Technology in the United States
di: Okoro, Stanley Chinedu, et al.
Pubblicazione: (2024)

Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness
di: Somerstep, Seamus, et al.
Pubblicazione: (2024)

Sustainable AI Regulation
di: Hacker, Philipp
Pubblicazione: (2023)

An Analysis of European Data and AI Regulations for Automotive Organizations
di: Shahlaei, Charlotte A., et al.
Pubblicazione: (2024)

Regulating radiology AI medical devices that evolve in their lifecycle
di: González, Camila, et al.
Pubblicazione: (2024)

Inferring fine-grained migration patterns across the United States
di: Agostini, Gabriel, et al.
Pubblicazione: (2025)

On Regulating Downstream AI Developers
di: Williams, Sophie, et al.
Pubblicazione: (2025)

Towards a Privacy and Security-Aware Framework for Ethical AI: Guiding the Development and Assessment of AI Systems
di: Korobenko, Daria, et al.
Pubblicazione: (2024)

Identity theft and societal acceptability of electronic identity in Europe and in the United States
di: Tiits, Marek, et al.
Pubblicazione: (2024)

Environmental Burden of United States Data Centers in the Artificial Intelligence Era
di: Guidi, Gianluca, et al.
Pubblicazione: (2024)

Certified Safe: A Schematic for Approval Regulation of Frontier AI
di: Salvador, Cole
Pubblicazione: (2024)

Advancing AI Challenges for the United States Department of the Air Force
di: Prothmann, Christian, et al.
Pubblicazione: (2025)

When Does Regulation by Insurance Work? The Case of Frontier AI
di: Trout, Cristian
Pubblicazione: (2025)

Methods to Estimate Advanced Driver Assistance System Penetration Rates in the United States
di: Goodall, Noah
Pubblicazione: (2024)

Framing Unionization on Facebook: Communication around Representation Elections in the United States
di: Pera, Arianna, et al.
Pubblicazione: (2025)

Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation
di: Heim, Lennart, et al.
Pubblicazione: (2024)

An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial Intelligence
di: Carpenter, Daniel, et al.
Pubblicazione: (2024)

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance
di: Leibowicz, Claire R.
Pubblicazione: (2025)

AI, Climate, and Regulation: From Data Centers to the AI Act
di: Ebert, Kai, et al.
Pubblicazione: (2024)

Identifying Economic Factors Affecting Unemployment Rates in the United States
di: Green, Alrick, et al.
Pubblicazione: (2024)

Flood Risk Assessment of the National Harbor at Maryland, United States
di: Negussie, Neftalem, et al.
Pubblicazione: (2024)

Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback
di: Gupta, Raj, et al.
Pubblicazione: (2025)

Content Platform GenAI Regulation via Compensation
di: Chaimanowong, Wee
Pubblicazione: (2026)

Evolving AI Collectives to Enhance Human Diversity and Enable Self-Regulation
di: Lai, Shiyang, et al.
Pubblicazione: (2024)

Generative AI in Computer Science Education: Accelerating Python Learning with ChatGPT
di: McCulloh, Ian, et al.
Pubblicazione: (2025)

Analyzing Potential Solutions Involving Regulation to Escape Some of AI's Ethical Concerns
di: Nemec, Jay
Pubblicazione: (2024)

AI Safety Assurance for Automated Vehicles: A Survey on Research, Standardization, Regulation
di: Ullrich, Lars, et al.
Pubblicazione: (2025)

What do people expect from Artificial Intelligence? Public opinion on alignment in AI moderation from Germany and the United States
di: Jungherr, Andreas, et al.
Pubblicazione: (2025)

The Illusory Normativity of Rights-Based AI Regulation
di: Mei, Yiyang, et al.
Pubblicazione: (2025)

Two Means to an End Goal: Connecting Explainability and Contestability in the Regulation of Public Sector AI
di: Schmude, Timothée, et al.
Pubblicazione: (2025)

FLoRA: An Advanced AI-Powered Engine to Facilitate Hybrid Human-AI Regulated Learning
di: Li, Xinyu, et al.
Pubblicazione: (2025)

AI Governance in the GCC States: A Comparative Analysis of National AI Strategies
di: Albous, Mohammad Rashed, et al.
Pubblicazione: (2025)