Open University: Research Institution — Prolific Citations Library

Browse 8 peer-reviewed papers from Open University spanning Information Systems Ethics, Reinforcement Learning for Personalization (2021–2025). Research powered by Prolific's high-quality participant data.

This page lists 8 peer-reviewed papers from researchers at Open University in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (8 of 8)

Taking the person seriously: Ethically aware IS research in the era of reinforcement learning-based personalization

Authors: T Greene, G Shmueli, S Ray

Year: 2025

Published in: Journal of the Association for ..., 2023 - aisel.aisnet.org

Institution: National Tsing Hua University, Copenhagen Business School

Research Area: Information Systems Ethics, Reinforcement Learning for Personalization

Discipline: Information Systems

The paper examines the ethical risks of reinforcement learning-based personalization and proposes three research directions for IS scholars to address its societal implications and inadequacies in existing regulations.

Methods: The study presents a conceptual analysis of emergent features and societal risks associated with reinforcement learning-based personalization and proposes research directions.

Key Findings: Potential harms of reinforcement learning-based personalization, such as reduced autonomy, social and political destabilization, and mass surveillance, alongside the limitations of current data protection laws.

DOI: https://aisel.aisnet.org/jais/vol24/iss6/6

Citations: 33
The Impact of Generative AI on Social Media: An Experimental Study

Authors: AG Møller, DM Romero, D Jurgens

Year: 2025

Published in: arXiv preprint arXiv ..., 2025 - arxiv.org

Institution: University of Copenhagen, University of Michigan, Pioneer Centre for AI

Research Area: Generative AI, Social Media, Human-Computer Interaction (HCI)

Discipline: Computational Social Science

Generative AI tools on social media increase user engagement and content volume but reduce perceived quality and authenticity in discussions, highlighting challenges for ethical integration.

Methods: Controlled experiment with participants assigned to small discussion groups under distinct AI-assisted treatment conditions including chat assistance, conversation starters, feedback on comment drafts, and reply suggestions.

Key Findings: Impact of generative AI tools on user behavior, engagement, content volume, perceived quality, and authenticity in social media interactions.

DOI: https://doi.org/10.48550/arXiv.2506.14295

Citations: 9

Sample Size: 680
AI assessment changes human behavior

Authors: J Goergen, E de Bellis, AK Klesse

Year: 2025

Published in: ... of the National Academy of Sciences, 2025 - pnas.org

Institution: Cologne Business School, Maastricht University School of Business and Economics, Tilburg University, Copenhagen Business School

Research Area: Psychology of AI and Organizational Behavior

Discipline: Organizational Behavior, Psychology of AI

AI assessments lead people to emphasize analytical characteristics in their self-presentation, which could change hiring outcomes and compromise assessment validity.

Methods: Examined behaviors in candidate selection contexts to assess how people adapt their self-presentation under AI evaluation.

Key Findings: Changes in self-presentation and perceived traits emphasized during AI assessments compared to traditional evaluations.

Citations: 4
Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity

Authors: JD Brüns, M Meißner

Year: 2024

Published in: Journal of Retailing and Consumer Services, 2024 - Elsevier

Institution: Copenhagen Business School, University of Southern Denmark

Research Area: Generative AI in Social Media Marketing, Brand Authenticity, Consumer Services

Discipline: Marketing

Using generative artificial intelligence (GenAI) for social media content creation diminishes perceived brand authenticity, leading to negative follower reactions unless GenAI is used to assist humans rather than replace them.

Methods: Three experimental studies investigating consumer perceptions and reactions toward brand disclosure of GenAI usage in content creation.

Key Findings: Followers' attitudinal and behavioral reactions, mediated by perceptions of brand authenticity.

DOI: https://doi.org/10.1016/j.jretconser.2024.103790

Citations: 235
First-person fairness in chatbots

Authors: T Eloundou, A Beutel, DG Robinson

Year: 2024

Published in: arXiv preprint arXiv ..., 2024 - arxiv.org

Institution: OpenAI, Google DeepMind, Google, University of Oxford

Research Area: Fairness in LLM, AI Bias, AI Ethics

Discipline: Artificial Intelligence, Social Science

The paper introduces a counterfactual approach to evaluate 'first-person fairness' in chatbots, demonstrating that reinforcement learning can mitigate biases based on demographics across extensive chatbot interactions.

Methods: The study uses a Language Model as a Research Assistant (LMRA) to quantitatively and qualitatively assess biases based on demographics across millions of chatbot interactions, covering 66 tasks in 9 domains and involving two genders and four races. Bias evaluations are corroborated by independent...

Key Findings: Demographic biases in chatbot responses, including harmful stereotypes and response differences by gender and race, across diverse tasks and domains.

DOI: https://doi.org/10.48550/arXiv.2410.19803

Citations: 33

Sample Size: 6000000
The taste of colours

Authors: C Velasco, F Barbosa Escobar, C Spence, JS Olier

Year: 2023

Published in: Science Direct

Institution: Aarhus University, BI Norwegian Business School, Tilburg University, University of Copenhagen, University of Oxford

Research Area: Food Science

Discipline: Experimental Psychology, Food Science

Citations: 29
Evaluating alignment between humans and neural network representations in image-based learning tasks

Authors: C Demircan, T Saanum, L Pettini

Year: 2023

Published in: Advances in ..., 2024 - proceedings.neurips.cc

Institution: Copenhagen University Hospital, University of Copenhagen, Technical University of Denmark

Research Area: Neural Network Alignment, Human Cognition, Image-Based Learning

Discipline: Artificial Intelligence, Cognitive Science

DOI: https://doi.org/10.52202/079017-3890

Citations: 8
How Does Citizen Science Compare to Online Survey Panels? A Comparison of Food Knowledge and Perceptions Between the Zooniverse, Prolific and Qualtrics UK Panels

Authors: Beth Armstrong, Christian Reynolds, Gemma Bridge, Libby Oakden Changqiong Wang, Luca Panzone, Ximena Schmidt Rivera, Astrid Kause, Charles Ffoulkes, Coleman Krawczyk, Grant Miller, Stephen Serjeant

Year: 2021

Published in: Frontiers

Institution: Agricultural Development Advisory Service, Brunel University London, Leeds Beckett University, Newcastle University, Open University, Queen Mary University of London, The University of Sheffield, University of Leeds, University of London, University of Portsmouth, Zooniverse

Research Area: Food Knowledge, Citizen Science, Survey Methodology

Discipline: Food Science, Survey Methodology

Citations: 26