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Is It Time to Treat AI as a Creature?

https://doi.org/10.2139/ssrn.5445835
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00146-024-01880-9openalex-snapshot
Challenges of responsible AI in practice: scoping review and recommended actions
inferredcites →https://doi.org/10.1007/s00146-024-01939-7openalex-snapshot
Is explainable AI responsible AI?
inferredcites →https://doi.org/10.1007/s00146-024-02014-xopenalex-snapshot
Doing versus saying: responsible AI among large firms
inferredcites →https://doi.org/10.1007/s00146-024-02040-9openalex-snapshot
Ethical approaches in designing autonomous and intelligent systems: a comprehensive survey towards responsible development
inferredcites →https://doi.org/10.1007/s43681-024-00524-4openalex-snapshot
Operationalizing responsible AI principles through responsible AI capabilities
inferredcites →https://doi.org/10.1016/j.jsis.2024.101885openalex-snapshot
Responsible artificial intelligence governance: A review and research framework
inferredcites →https://doi.org/10.1038/s41539-025-00333-2openalex-snapshot
Multi-stakeholder perspective on responsible artificial intelligence and acceptability in education
inferredcites →https://doi.org/10.1080/08839514.2024.2439609openalex-snapshot
Artificial Intelligence in Cybersecurity: A Comprehensive Review and Future Direction
inferredcites →https://doi.org/10.1080/1360080x.2025.2509187openalex-snapshot
A university framework for the responsible use of generative AI in research
inferredcites →https://doi.org/10.1080/23311916.2023.2272358openalex-snapshot
Current trends in AI and ML for cybersecurity: A state-of-the-art survey
inferredcites →https://doi.org/10.1109/access.2024.3408144openalex-snapshot
AI and Security, From an Information Security and Risk Manager Standpoint
inferredcites →https://doi.org/10.1109/access.2025.3552200openalex-snapshot
Identifying AI Hazards and Responsibility Gaps
inferredcites →https://doi.org/10.1145/3703155openalex-snapshot
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
inferredcites →https://doi.org/10.1145/3710931openalex-snapshot
AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work
inferredcites →https://doi.org/10.1186/s42467-024-00016-5openalex-snapshot
Towards responsible AI: an implementable blueprint for integrating explainability and social-cognitive frameworks in AI systems
inferredcites →https://doi.org/10.30574/ijsra.2024.13.1.1923openalex-snapshot
AI security in different industries: A comprehensive review of vulnerabilities and mitigation strategies
inferredcites →https://doi.org/10.30574/wjarr.2025.26.1.1173openalex-snapshot
Zero trust architecture for AI-powered cloud systems: Securing the future of automated workloads
inferredcites →https://doi.org/10.3389/frai.2024.1377011openalex-snapshot
Ethics and responsible AI deployment

What points at this work

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inferred← citeshttps://doi.org/10.1007/s12668-026-02523-7openalex-snapshot
Machine Learning Model Leveraging SMILES-derived NMR Spectroscopy Data to Predict Dopamine D1 Receptor Antagonists: A Prospective Framework for Forecasting the Impact of Engineered Nanoparticles on the Functionalities of Small Biomolecules
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