Cover Image

False consensus biases AI against vulnerable stakeholders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dong, Mengchen, Bonnefon, Jean-François, Rahwan, Iyad
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Humans learn to prefer trustworthy AI over human partners
by: Jiang, Yaomin, et al.
Published: (2025)

The Science Fiction Science Method
by: Rahwan, Iyad, et al.
Published: (2025)

Experimental Evidence That AI-Managed Workers Tolerate Lower Pay Without Demotivation
by: Dong, Mengchen, et al.
Published: (2025)

Recognising, Anticipating, and Mitigating LLM Pollution of Online Behavioural Research
by: Rilla, Raluca, et al.
Published: (2025)

Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists
by: Eisenmann, Thomas F., et al.
Published: (2025)

Dynamics of Algorithmic Content Amplification on TikTok
by: Baumann, Fabian, et al.
Published: (2025)

When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data
by: Awad, Edmond, et al.
Published: (2022)

Empirical evidence of Large Language Model's influence on human spoken communication
by: Yakura, Hiromu, et al.
Published: (2024)

Imagining and building wise machines: The centrality of AI metacognition
by: Johnson, Samuel G. B., et al.
Published: (2024)

Social physics in the age of artificial intelligence
by: Han, The Anh, et al.
Published: (2026)

Real Talk, Virtual Faces: Symbolic-Semantic Discourse Geometry of Virtual and Human Influencer Audiences
by: Chaudhry, Shahram, et al.
Published: (2026)

The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events
by: Gunjan, et al.
Published: (2026)

Rolling in the deep of cognitive and AI biases
by: Tantalaki, Nicoleta, et al.
Published: (2024)

Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art
by: Hernandez, Alejandro, et al.
Published: (2024)

Adversarial Augmentation and Active Sampling for Robust Cyber Anomaly Detection
by: Benabderrahmane, Sidahmed, et al.
Published: (2025)

Advancing credit mobility through stakeholder-informed AI design and adoption
by: Kwak, Yerin, et al.
Published: (2026)

China and the U.S. produce more impactful AI research when collaborating together
by: AlShebli, Bedoor, et al.
Published: (2023)

Defining bias in AI-systems: Biased models are fair models
by: Lindloff, Chiara, et al.
Published: (2025)

Surprising gender biases in GPT
by: Fulgu, Raluca Alexandra, et al.
Published: (2024)

What we learned while automating bias detection in AI hiring systems for compliance with NYC Local Law 144
by: Clavell, Gemma Galdon, et al.
Published: (2024)

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

Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
by: Chan, Samantha, et al.
Published: (2024)

The global consensus on the risk management of autonomous driving
by: Krügel, Sebastian, et al.
Published: (2025)

Teaching at Scale: Leveraging AI to Evaluate and Elevate Engineering Education
by: Chamberland, Jean-Francois, et al.
Published: (2025)

Group Selection as a Safeguard Against AI Substitution
by: Zhong, Qiankun, et al.
Published: (2026)

False Sense of Security in Explainable Artificial Intelligence (XAI)
by: Chung, Neo Christopher, et al.
Published: (2024)

Evaluating and comparing gender bias across four text-to-image models
by: Hammad, Zoya, et al.
Published: (2025)

Epistemic Constitutionalism Or: how to avoid coherence bias
by: Loi, Michele
Published: (2026)

Emergent social conventions and collective bias in LLM populations
by: Ashery, Ariel Flint, et al.
Published: (2024)

Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses
by: Venkit, Pranav Narayanan, et al.
Published: (2024)

The World Wide recipe: A community-centred framework for fine-grained data collection and regional bias operationalisation
by: Magomere, Jabez, et al.
Published: (2024)

AIDRIN 2.0: A Framework to Assess Data Readiness for AI
by: Hiniduma, Kaveen, et al.
Published: (2025)

Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications
by: Simmons-Edler, Riley, et al.
Published: (2025)

Simulating the impact of cognitive biases on the mobility transition
by: Adam, Carole
Published: (2023)

A closer look at how large language models trust humans: patterns and biases
by: Lerman, Valeria, et al.
Published: (2025)

An evaluation of LLMs for political bias in Western media: Israel-Hamas and Ukraine-Russia wars
by: Chandra, Rohitash, et al.
Published: (2026)

AI-Assisted Systematization for Evaluating GenAI Systems
by: Agarwal, Dhruv, et al.
Published: (2026)

Mutual benefits of social learning and algorithmic mediation for cumulative culture
by: Czaplicka, Agnieszka, et al.
Published: (2024)

TriQuest:An AI Copilot-Powered Platform for Interdisciplinary Curriculum Design
by: Wang, Huazhen, et al.
Published: (2025)

Unraveling overoptimism and publication bias in ML-driven science
by: Saidi, Pouria, et al.
Published: (2024)