Cover Image

The Term 'Agent' Has Been Diluted Beyond Utility and Requires Redefinition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Bent, Brinnae
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generation
by: Bent, Brinnae
Published: (2024)

It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amplified by the language of the prompt
by: Bladon, Stuart, et al.
Published: (2026)

When2Speak: A Dataset for Temporal Participation and Turn-Taking in Multi-Party Conversations for Large Language Models
by: Nama, Vihaan, et al.
Published: (2026)

Agent Benchmarks Fail Public Sector Requirements
by: Rystrøm, Jonathan, et al.
Published: (2026)

What Has Been Lost with Synthetic Evaluation?
by: Gill, Alexander, et al.
Published: (2025)

Business Utility of Large Language Models as Exploratory Data Analysis Agents
by: Łabędzki, Rafał, et al.
Published: (2026)

Societal AI Research Has Become Less Interdisciplinary
by: Markus, Dror Kris, et al.
Published: (2025)

Affective Computing Has Changed: The Foundation Model Disruption
by: Schuller, Björn, et al.
Published: (2024)

Agentic Literacy Debt: A Structural Problem the AI Literacy Field Has Not Yet Named
by: Nama, Rohith
Published: (2026)

GLEaN: A Text-to-image Bias Detection Approach for Public Comprehension
by: Ding, Bochu, et al.
Published: (2026)

Technical Requirements for Halting Dangerous AI Activities
by: Barnett, Peter, et al.
Published: (2025)

E-LENS: User Requirements-Oriented AI Ethics Assurance
by: Zhou, Jianlong, et al.
Published: (2025)

Societal Impacts Research Requires Benchmarks for Creative Composition Tasks
by: Shen, Judy Hanwen, et al.
Published: (2025)

When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital
by: Kothari, Avni, et al.
Published: (2025)

Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems
by: Ide, Shun, et al.
Published: (2024)

Agentic AI in Engineering and Manufacturing: Industry Perspectives on Utility, Adoption, Challenges, and Opportunities
by: Edwards, Kristen M., et al.
Published: (2026)

The LLM Has Left The Chat: Evidence of Bail Preferences in Large Language Models
by: Ensign, Danielle, et al.
Published: (2025)

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
by: Ignat, Oana, et al.
Published: (2023)

How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
by: Fresz, Benjamin, et al.
Published: (2024)

Assessing Model-Agnostic XAI Methods against EU AI Act Explainability Requirements
by: Sovrano, Francesco, et al.
Published: (2026)

The Good, the Bad and the Constructive: Automatically Measuring Peer Review's Utility for Authors
by: Sadallah, Abdelrahman, et al.
Published: (2025)

Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration
by: Chen, Nuo, et al.
Published: (2025)

Personal Care Utility (PCU): Building the Health Infrastructure for Everyday Insight and Guidance
by: Abbasian, Mahyar, et al.
Published: (2025)

Simulating Society Requires Simulating Thought
by: Li, Chance Jiajie, et al.
Published: (2025)

Assessing High-Risk AI Systems under the EU AI Act: From Legal Requirements to Technical Verification
by: Buscemi, Alessio, et al.
Published: (2025)

Do Not Trust Licenses You See: Dataset Compliance Requires Massive-Scale AI-Powered Lifecycle Tracing
by: Kim, Jaekyeom, et al.
Published: (2025)

An Open Knowledge Graph-Based Approach for Mapping Concepts and Requirements between the EU AI Act and International Standards
by: Hernandez, Julio, et al.
Published: (2024)

Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Harmed by Which Errors in What Ways
by: Wang, Angelina, et al.
Published: (2024)

AI Evaluation Should Require Standardized Item-Level Data Releases
by: Jiang, Han, et al.
Published: (2026)

A Short-Term Predict-Then-Cluster Framework for Meal Delivery Services
by: Cheng, Jingyi, et al.
Published: (2025)

Beyond Explainability: The Case for AI Validation
by: Feldman, Dalit Ken-Dror, et al.
Published: (2025)

Governing AI Beyond the Pretraining Frontier
by: Caputo, Nicholas A.
Published: (2025)

Learning Linear Utility Functions From Pairwise Comparison Queries
by: Ge, Luise, et al.
Published: (2024)

Agents of Chaos
by: Shapira, Natalie, et al.
Published: (2026)

Beyond Release: Access Considerations for Generative AI Systems
by: Solaiman, Irene, et al.
Published: (2025)

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
by: Nasir, Sidra, et al.
Published: (2023)

From Delegates to Trustees: How Optimizing for Long-Term Interests Shapes Bias and Alignment in LLM
by: Fulay, Suyash, et al.
Published: (2025)

Towards Lawful Autonomous Driving: Deriving Scenario-Aware Driving Requirements from Traffic Laws and Regulations
by: Jian, Bowen, et al.
Published: (2026)

AI Agents and the Law
by: Riedl, Mark O., et al.
Published: (2025)

On the Creativity of AI Agents
by: Franceschelli, Giorgio, et al.
Published: (2026)