:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bennett-Manke, Sierra Zoe, Neumann, Sebastian, Dougherty, Ryan E.
Format:	Preprint
Published:	2024
Subjects:	Computers and Society
Online Access:	https://arxiv.org/abs/2409.17207
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scaffolding Research Projects in Theory of Computing Courses
by: Dougherty, Ryan E.
Published: (2024)

Can ChatGPT Pass a Theory of Computing Course?
by: Golesteanu, Matei A., et al.
Published: (2024)

Understanding Disparities in Post Hoc Machine Learning Explanation
by: Mhasawade, Vishwali, et al.
Published: (2024)

A Web App for Teaching Finite State Automata
by: Schankula, Christopher William, et al.
Published: (2024)

Haciendo frente a la discriminación y a la exclusión
by: Manke, Albert
Published: (2022)

AI Safety Evaluations Need To Consider Cascading Effects
by: Neumann, Anna, et al.
Published: (2026)

Who Controls the Conversation? User Perspectives On Generative AI (LLM) System Prompts
by: Neumann, Anna, et al.
Published: (2026)

Cybernetics and the Future of Work
by: Ganapathy, Ashitha, et al.
Published: (2021)

Mapping Technical Safety Research at AI Companies: A literature review and incentives analysis
by: Delaney, Oscar, et al.
Published: (2024)

AI Agent Governance: A Field Guide
by: Kraprayoon, Jam, et al.
Published: (2025)

Assessing Cognitive Biases in LLMs for Judicial Decision Support: Virtuous Victim and Halo Effects
by: Liu, Sierra S.
Published: (2026)

From the Fair Distribution of Predictions to the Fair Distribution of Social Goods: Evaluating the Impact of Fair Machine Learning on Long-Term Unemployment
by: Zezulka, Sebastian, et al.
Published: (2024)

AI-Driven Modular Services for Accessible Multilingual Education in Immersive Extended Reality Settings: Integrating Speech Processing, Translation, and Sign Language Rendering
by: Tantaroudas, N. D., et al.
Published: (2026)

Prosocial Persuasion at Scale? Large Language Models Outperform Humans in Donation Appeals Across Levels of Personalization
by: Caffier, John, et al.
Published: (2026)

Human attribution of empathic behaviour to AI systems
by: Festor, Jonas, et al.
Published: (2026)

Should you use LLMs to simulate opinions? Quality checks for early-stage deliberation
by: Neumann, Terrence, et al.
Published: (2025)

On the Sensitivity of Instruction-tuned LLMs to Harmful Sentences in Long Inputs
by: Ghorbanpour, Faeze, et al.
Published: (2025)

Fair by design: A sociotechnical approach to justifying the fairness of AI-enabled systems across the lifecycle
by: Kaas, Marten H. L., et al.
Published: (2024)

PRISM: A Design Framework for Open-Source Foundation Model Safety
by: Neumann, Terrence, et al.
Published: (2024)

Examining the Relationship between Scientific Publishing Activity and Hype-Driven Financial Bubbles: A Comparison of the Dot-Com and AI Eras
by: Chelikavada, Aksheytha, et al.
Published: (2025)

Cultural Differences and Perverse Incentives in Science Create a Bad Mix: Exploring Country-Level Publication Bias in Select ACM Conferences
by: Chelikavada, Aksheytha, et al.
Published: (2025)

Measuring University Students Satisfaction with Traditional Search Engines and Generative AI Tools as Information Sources
by: Lund, Brady D., et al.
Published: (2026)

How to Manage My Data? With Machine--Interpretable GDPR Rights!
by: Esteves, Beatriz, et al.
Published: (2024)

Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation
by: Neumann, Terrence, et al.
Published: (2024)

Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
by: La Cava, Lucio, et al.
Published: (2025)

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs)
by: Neumann, Anna, et al.
Published: (2025)

Unravelling Responsibility for AI
by: Porter, Zoe, et al.
Published: (2023)

InteractOut: Leveraging Interaction Proxies as Input Manipulation Strategies for Reducing Smartphone Overuse
by: Lu, Tao, et al.
Published: (2024)

Rendering Transparency to Ranking in Educational Assessment via Bayesian Comparative Judgement
by: Gray, Andy, et al.
Published: (2025)

A Systematic AI Adoption Framework for Higher Education: From Student GenAI Usage to Institutional Integration
by: Neumann, Michael, et al.
Published: (2026)

Analyzing Mass School Shootings in the United States from 1999 to 2024 with Game Theory, Probability Analysis, and Machine Learning
by: Dai, Wei, et al.
Published: (2024)

Integrating Public Input and Technical Expertise for Effective Cybersecurity Policy Formulation
by: Ngobeni, Hlekane, et al.
Published: (2025)

A Criminology of Machines
by: Campedelli, Gian Maria
Published: (2025)

From Earthquake Solidarity to Educational Equity: Conceptualizing a Sustainable, Volunteer-Driven P2P Learning Ecosystem at Scale
by: Kaplan, Öykü, et al.
Published: (2026)

Machine Consciousness as Pseudoscience: The Myth of Conscious Machines
by: Garrido-Merchán, Eduardo C.
Published: (2024)

Uncovering Student Engagement Patterns in Moodle with Interpretable Machine Learning
by: Johnston, Laura J., et al.
Published: (2024)

Concept Map Assessment Through Structure Classification
by: Vossen, Laís P. V., et al.
Published: (2025)

What's my role? Modelling responsibility for AI-based safety-critical systems
by: Ryan, Philippa, et al.
Published: (2023)

Machine Learning-Based Cloud Computing Compliance Process Automation
by: Wang, Yuqing, et al.
Published: (2025)

Towards a Theoretical Foundation of Process Science
by: Fettke, Peter, et al.
Published: (2024)