:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Duenas-Cid, David
Format:	Preprint
Published:	2024
Subjects:	Computers and Society
Online Access:	https://arxiv.org/abs/2412.05052
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reforming surrogacy law: what can we learn from children's artwork?
by: KATHERINE WADE, et al.
Published: (2025)

Metric geometry for ranking-based voting: Tools for learning electoral structure
by: Duchin, Moon, et al.
Published: (2026)

Candidate Incentive Distributions: How voting methods shape electoral incentives
by: Ogren, Marcus
Published: (2023)

What we can learn from TikTok through its Research API
by: Corso, Francesco, et al.
Published: (2024)

Statistical study of the transcript of vote counts in multi-member constituencies: Identifying electoral fraud and reconstructing voting returns
by: Podlazov, Andrey V., et al.
Published: (2025)

To what extent can current French mobile network support agricultural robots?
by: La Rocca, Pierre, et al.
Published: (2025)

To whom did my vote go?
by: Conway, Andrew, et al.
Published: (2025)

Revolutionizing student course selection: Exploring the application prospects and challenges of blockchain token voting technology
by: Hu, Tiansu, et al.
Published: (2024)

I hope we don't do to trust what advertising has done to love
by: Alglave, Jade
Published: (2026)

Cascade! Human in the loop shortcomings can increase the risk of failures in recommender systems
by: Kennedy, Wm. Matthew, et al.
Published: (2025)

Why do we Trust Chatbots? From Normative Principles to Behavioral Drivers
by: Gulati, Aditya, et al.
Published: (2026)

Are machine learning technologies ready to be used for humanitarian work and development?
by: Sekara, Vedran, et al.
Published: (2023)

Cast vote records: A database of ballots from the 2020 U.S. Election
by: Kuriwaki, Shiro, et al.
Published: (2024)

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

Physical partisan proximity outweighs online ties in predicting US voting outcomes
by: Tonin, Marco, et al.
Published: (2024)

Generative AI regulation can learn from social media regulation
by: Appel, Ruth Elisabeth
Published: (2024)

The European Union general data protection regulation: what it is and what it means
by: Hoofnagle, Chris Jay, et al.
Published: (2025)

Evaluation of compliance with democratic and technical standards of i-voting in elections to academic senates in Czech higher education
by: Martinek, Tomas, et al.
Published: (2025)

Big AI is accelerating the metacrisis: What can we do?
by: Bird, Steven
Published: (2025)

Trust in AI emerges from distrust in humans: A machine learning study on decision-making guidance
by: Galindez-Acosta, Johan Sebastián, et al.
Published: (2025)

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

The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other?
by: Mokander, Jakob, et al.
Published: (2024)

What can we learn from marketing skills as a bipartite network from accredited programs?
by: Garcia-Chitiva, Maria del Pilar, et al.
Published: (2024)

The precursor of the critical transitions in majority vote model with the noise feedback from the vote layer
by: Liu, Wei, et al.
Published: (2023)

Why can't Epidemiology be automated (yet)?
by: Bann, David, et al.
Published: (2025)

A Vision to Enhance Trust Requirements for Peer Support Systems by Revisiting Trust Theories
by: Gheidar, Yasaman, et al.
Published: (2024)

To Trust or Not to Trust: Authors' Response to AI-based Reviews
by: Leblanc, César, et al.
Published: (2026)

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

Publicly auditable privacy-preserving electoral rolls
by: Agrawal, Prashant, 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)

The EU Digital Services Act: what does it mean for online advertising and adtech?
by: Wolters, Pieter, et al.
Published: (2025)

I would love this to be like an assistant, not the teacher: a voice of the customer perspective of what distance learning students want from an Artificial Intelligence Digital Assistant
by: Rienties, Bart, et al.
Published: (2024)

Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
by: Dawson, Charles, et al.
Published: (2025)

Collective contributions to polarization in political voting
by: Lee, Edward D.
Published: (2025)

Humanoid Robots at work: where are we ?
by: Noreils, Fabrice R.
Published: (2024)

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

Sprouting technology otherwise, hospicing negative commons -- Rethinking technology in the transition to sustainability-oriented futures
by: Deron, Martin
Published: (2025)

So, I climbed to the top of the pyramid of pain -- now what?
by: Katos, Vasilis, et al.
Published: (2025)

Astra: AI Safety, Trust, & Risk Assessment
by: Aggarwal, Pranav, et al.
Published: (2026)

Ethics Readiness of Technology: The case for aligning ethical approaches with technological maturity
by: de Jong, Eline
Published: (2025)