Cover Image

What Makes AI Applications Acceptable or Unacceptable? A Predictive Moral Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Eriksson, Kimmo, Karlsson, Simon, Vartanova, Irina, Strimling, Pontus
Format:	Preprint
Published:	2025
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

AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms
by: Strimling, Pontus, et al.
Published: (2025)

GPT-4's One-Dimensional Mapping of Morality: How the Accuracy of Country-Estimates Depends on Moral Domain
by: Strimling, Pontus, et al.
Published: (2024)

Normative Moral Pluralism for AI: A Framework for Deliberation in Complex Moral Contexts
by: Yaacov, David-Doron
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)

That is Unacceptable: the Moral Foundations of Canceling
by: Lo, Soda Marem, et al.
Published: (2025)

Alignment Is Not Enough: A Relational Framework for Moral Standing in Human-AI Interaction
by: Pasandi, Faezeh B., et al.
Published: (2026)

The Consistency-Acceptability Divergence of LLMs in Judicial Decision-Making: Task and Stakeholder Dimensions
by: MingDa, Zhang, et al.
Published: (2025)

Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making
by: Dubey, Rohit K., et al.
Published: (2025)

Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions
by: Keswani, Vijay, et al.
Published: (2025)

The Convergent Ethics of AI? Analyzing Moral Foundation Priorities in Large Language Models with a Multi-Framework Approach
by: Coleman, Chad, et al.
Published: (2025)

Building Interpretable Models for Moral Decision-Making
by: Goel, Mayank, et al.
Published: (2026)

Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey
by: Gadekallu, Thippa Reddy, et al.
Published: (2025)

AI Application Operations -- A Socio-Technical Framework for Data-driven Organizations
by: Jönsson, Daniel, et al.
Published: (2025)

What Is AI Safety? What Do We Want It to Be?
by: Harding, Jacqueline, et al.
Published: (2025)

Enriching Moral Perspectives on AI: Concepts of Trust amongst Africans
by: Amugongo, Lameck Mbangula, et al.
Published: (2025)

Are AI Machines Making Humans Obsolete?
by: Scheutz, Matthias
Published: (2025)

Artificial Intelligence (AI) and the Relationship between Agency, Autonomy, and Moral Patiency
by: Formosa, Paul, et al.
Published: (2025)

What if AI systems weren't chatbots?
by: Ghosh, Sourojit, et al.
Published: (2026)

Wide Reflective Equilibrium in LLM Alignment: Bridging Moral Epistemology and AI Safety
by: Brophy, Matthew
Published: (2025)

Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good
by: Nemkova, Poli, et al.
Published: (2026)

Integrating Reason-Based Moral Decision-Making in the Reinforcement Learning Architecture
by: Dargasz, Lisa
Published: (2025)

What Do AI-Generated Images Want?
by: Wasielewski, Amanda
Published: (2025)

Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe?
by: Dreksler, Noemi, et al.
Published: (2025)

Exploring Moral Exercises for Human Oversight of AI systems: Insights from Three Pilot Studies
by: Crafa, Silvia, et al.
Published: (2025)

Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It
by: Hacker, Philipp
Published: (2024)

Do AI Companies Make Good on Voluntary Commitments to the White House?
by: Wang, Jennifer, et al.
Published: (2025)

The AI Pyramid A Conceptual Framework for Workforce Capability in the Age of AI
by: Khatri, Alok, et al.
Published: (2026)

Human Resilience in the AI Era -- What Machines Can't Replace
by: Liu, Shaoshan, et al.
Published: (2025)

The Landscape of AI in Science Education: What is Changing and How to Respond
by: Zhai, Xiaoming, et al.
Published: (2026)

Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude
by: Xu, Wentao, et al.
Published: (2025)

When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategies
by: Popchanovska, Evgenija, et al.
Published: (2026)

Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems
by: Ide, Shun, et al.
Published: (2024)

AI TIPS 2.0: A Comprehensive Framework for Operationalizing AI Governance
by: Gupta, Pamela
Published: (2025)

Privacy Ethics Alignment in AI: A Stakeholder-Centric Framework for Ethical AI
by: Barthwal, Ankur, et al.
Published: (2025)

Why Machines Can't Be Moral: Turing's Halting Problem and the Moral Limits of Artificial Intelligence
by: Passamonti, Massimo
Published: (2024)

Towards a Healthy AI Tradition: Lessons from Biology and Biomedical Science
by: Kasif, Simon
Published: (2024)

Moral Responsibility or Obedience: What Do We Want from AI?
by: Boland, Joseph
Published: (2025)

The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
by: Rao, Pooja S. B., et al.
Published: (2025)

What AI evaluations for preventing catastrophic risks can and cannot do
by: Barnett, Peter, et al.
Published: (2024)

Literary Narrative as Moral Probe : A Cross-System Framework for Evaluating AI Ethical Reasoning and Refusal Behavior
by: Flynn, David C.
Published: (2026)