Copertina

Tell me Mr. AI, what do you see in this image?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Giacometti, Tommaso, Surcinelli, Paola, Stellato, Mariachiara, Curti, Nico
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Physics and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

On the Concept of Violence: A Comparative Study of Human and AI Judgments
di: Stellato, Mariachiara, et al.
Pubblicazione: (2026)

TeLL Me what you cant see
di: Cavasin, Saverio, et al.
Pubblicazione: (2025)

What is AI, what is it not, how we use it in physics and how it impacts... you
di: David, Claire
Pubblicazione: (2025)

Network topology mapping of Chemical Compounds Space
di: Tsekenis, Georgios, et al.
Pubblicazione: (2024)

Equitable Data-Driven Facility Location and Resource Allocation to Fight the Opioid Epidemic
di: Luo, Joyce, et al.
Pubblicazione: (2023)

Tell me what you are like and I’ll understand why you are leaving
di: Anabel Fernández-Mesa
Pubblicazione: (2017)

The benefits and biases of seeing the world's cities through marathons
di: Renninger, Andrew
Pubblicazione: (2026)

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI
di: Newen, Carina, et al.
Pubblicazione: (2025)

The Gerontocratization of Science: How hypergrowth reshapes knowledge circulation
di: Houssard, Antoine, et al.
Pubblicazione: (2024)

Do we practice what we preach? The dissonance between resilience understanding and measurement
di: Halekotte, Lukas, et al.
Pubblicazione: (2024)

Tell me the truth: A system to measure the trustworthiness of Large Language Models
di: Lipizzi, Carlo
Pubblicazione: (2024)

Fusion divided: what prevented European collaboration on controlled thermonuclear fusion in 1958
di: Hof, Barbara
Pubblicazione: (2024)

How much longer do you have to drive than the crow has to fly?
di: Wang, Shanshan, et al.
Pubblicazione: (2024)

Tell me who you go with and I'll tell you who you are
di: Melania Tesio
Pubblicazione: (2024)

Epistemic integration and social segregation of AI in neuroscience
di: Fontaine, Sylvain, et al.
Pubblicazione: (2023)

What you get is what you see: Decomposing Epistemic Planning using Functional STRIPS
di: Hu, Guang, et al.
Pubblicazione: (2019)

Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All?
di: Ziliotto, Filippo, et al.
Pubblicazione: (2026)

Emergence of power laws in hierarchical dynamics on multi-level graphs
di: Rondini, Tommaso, et al.
Pubblicazione: (2025)

Enhancing Car-Following Models with Bike Dynamics for Improved Traffic Simulation
di: Ostendorf, Nico, et al.
Pubblicazione: (2025)

What you think you know shapes what you see: How epistemology shapes curriculum, teaching, and learning
di: Cayla R. Teal, et al.
Pubblicazione: (2024)

What you see is what you get: empirically measured bolometric luminosities of Little Red Dots
di: Greene, Jenny E., et al.
Pubblicazione: (2025)

The Funeral of Mr. Wang
di: Kipnis, Andrew B.
Pubblicazione: (2021)

Why business adoption of quantum and AI technology must be ethical
di: Hoffmann, Christian Hugo, et al.
Pubblicazione: (2023)

Who is using AI to code? Global diffusion and impact of generative AI
di: Daniotti, Simone, et al.
Pubblicazione: (2025)

An AI-Based Framework for Assessing Sustainability Conflicts in Medical Device Development
di: Chakrabarti, Apala
Pubblicazione: (2025)

Discrimination and AI in insurance: what do people find fair? Results from a survey
di: Borgesius, Frederik Zuiderveen, et al.
Pubblicazione: (2025)

We both think you did wrong -- How agreement shapes and is shaped by indirect reciprocity
di: Krellner, Marcus, et al.
Pubblicazione: (2023)

Mr. Emerson's Revolution
Pubblicazione: (2017)

Cosmic rays for imaging cultural heritage objects
di: Giammanco, Andrea, et al.
Pubblicazione: (2024)

The universality of physical images at relative timescales on multiplex networks
di: Chang, Xin, et al.
Pubblicazione: (2024)

AI Data Centers Need Pioneers to Deliver Scalable Power via Offgrid AI
di: Reinhardt, Steven P.
Pubblicazione: (2025)

Views on AI Existential Risk Before and After a Public Event at Harvard University
di: Kestin, Greg, et al.
Pubblicazione: (2026)

LLMorphism: When humans come to see themselves as language models
di: Capraro, Valerio
Pubblicazione: (2026)

When Your AI Agent Succumbs to Peer-Pressure: Studying Opinion-Change Dynamics of LLMs
di: Mehdizadeh, Aliakbar, et al.
Pubblicazione: (2025)

The Retraction Epidemic in Science Across Publishers, Fields, and Countries
di: Venturini, Sara, et al.
Pubblicazione: (2026)

AI Hastens Limits to Exponential Growth
di: Nachtrieb, Robert T., et al.
Pubblicazione: (2026)

QCD Perturbation Theory: It's not what you were taught
di: Stevenson, P. M.
Pubblicazione: (2024)

Towards an Atomic Agency for Quantum-AI
di: Kop, Mauritz
Pubblicazione: (2025)

Become a better you: correlation between the change of research direction and the change of scientific performance
di: Yu, Xiaoyao, et al.
Pubblicazione: (2021)

A New Lens on the Sustainability of the AI Revolution
di: Contucci, Pierluigi, et al.
Pubblicazione: (2025)