On the public citation graph

Framework for Generative Intelligence Deconstruction & Governance, perspective from Non-Neutrality Technological

https://doi.org/10.2139/ssrn.4885346
0 signed · 44 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-69978-9_4openalex-extracted
Ethical Issues of AI
inferredcites →https://doi.org/10.1007/978-3-031-46238-2_13openalex-extracted
Can Generative Artificial Intelligence Foster Belongingness, Social Support, and Reduce Loneliness? A Conceptual Analysis
inferredcites →https://doi.org/10.1007/978-3-031-64359-0openalex-extracted
Information Management
inferredcites →https://doi.org/10.1007/bf02074820openalex-extracted
Ethical decision making: A review of the empirical literature
inferredcites →https://doi.org/10.1007/s10551-018-3921-3openalex-extracted
Ethical Implications and Accountability of Algorithms
inferredcites →https://doi.org/10.1007/s10676-021-09593-zopenalex-extracted
Artificial Intelligence Regulation: a framework for governance
inferredcites →https://doi.org/10.1007/s11432-024-4222-0openalex-extracted
The rise and potential of large language model based agents: a survey
inferredcites →https://doi.org/10.1007/s11704-024-40231-1openalex-extracted
A survey on large language model based autonomous agents
inferredcites →https://doi.org/10.1007/s11747-019-00710-5openalex-extracted
Explainable AI: from black box to glass box
inferredcites →https://doi.org/10.1007/s43681-022-00188-yopenalex-extracted
Ethical and methodological challenges in building morally informed AI systems
inferredcites →https://doi.org/10.1007/s43681-022-00228-7openalex-extracted
The AI ethics maturity model: a holistic approach to advancing ethical data science in organizations
inferredcites →https://doi.org/10.1007/s43681-023-00289-2openalex-extracted
Auditing large language models: a three-layered approach
inferredcites →https://doi.org/10.1016/j.clsr.2024.106066openalex-extracted
Generative AI in EU law: Liability, privacy, intellectual property, and cybersecurity
inferredcites →https://doi.org/10.1016/j.ijinfomgt.2019.07.008openalex-extracted
Data governance: A conceptual framework, structured review, and research agenda
inferredcites →https://doi.org/10.1016/j.im.2024.103982openalex-extracted
An enhanced governance measure for deep synthesis applications: Addressing the moderating effect of moral sensitivity through message framing
inferredcites →https://doi.org/10.1016/j.jdec.2022.08.003openalex-extracted
Ethical governance of artificial intelligence: An integrated analytical framework
inferredcites →https://doi.org/10.1016/j.metrad.2023.100017openalex-extracted
Summary of ChatGPT-Related research and perspective towards the future of large language models
inferredcites →https://doi.org/10.1017/als.2020.19openalex-extracted
On the Governance of Artificial Intelligence through Ethics Guidelines
inferredcites →https://doi.org/10.1038/s41591-023-02448-8openalex-extracted
Large language models in medicine
inferredcites →https://doi.org/10.1109/access.2024.3365742openalex-extracted
A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges
inferredcites →https://doi.org/10.1109/tvcg.2014.2346578openalex-extracted
Opening the Black Box: Strategies for Increased User Involvement in Existing Algorithm Implementations
inferredcites →https://doi.org/10.1111/bjet.13370openalex-extracted
Practical and ethical challenges of large language models in education: A systematic scoping review
inferredcites →https://doi.org/10.1126/science.adj0998openalex-extracted
GPTs are GPTs: Labor market impact potential of LLMs
inferredcites →https://doi.org/10.1145/3287560.3287596openalex-extracted
Model Cards for Model Reporting
inferredcites →https://doi.org/10.1145/3479582openalex-extracted
Datasheets for Datasets help ML Engineers Notice and Understand Ethical Issues in Training Data
inferredcites →https://doi.org/10.1145/3571730openalex-extracted
Survey of Hallucination in Natural Language Generation
inferredcites →https://doi.org/10.1145/359131.359136openalex-extracted
Algorithm = logic + control
inferredcites →https://doi.org/10.1145/3593013.3594067openalex-extracted
Regulating ChatGPT and other Large Generative AI Models
inferredcites →https://doi.org/10.1145/3695988openalex-extracted
Large Language Models for Software Engineering: A Systematic Literature Review
inferredcites →https://doi.org/10.1186/s12910-022-00746-3openalex-extracted
Embedded ethics: a proposal for integrating ethics into the development of medical AI
inferredcites →https://doi.org/10.1287/mnsc.2022.4333openalex-extracted
Contracting, Pricing, and Data Collection Under the AI Flywheel Effect
inferredcites →https://doi.org/10.1287/mnsc.2024.06740openalex-extracted
inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.364openalex-extracted
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.458openalex-extracted
Copyright Violations and Large Language Models
inferredcites →https://doi.org/10.2139/ssrn.4746770openalex-extracted
Experimenting with Generative AI: Does ChatGPT Really Increase Everyone’s Productivity?
inferredcites →https://doi.org/10.36227/techrxiv.23589741.v1openalex-extracted
A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage
inferredcites →https://doi.org/10.4018/jdm.2020040105openalex-extracted
Artificial Intelligence (AI) Ethics
inferredcites →https://doi.org/10.48550/arxiv.2112.04359openalex-extracted
Ethical and social risks of harm from Language Models
inferredcites →https://doi.org/10.48550/arxiv.2402.09363openalex-extracted
Copyright Traps for Large Language Models
inferredcites →https://doi.org/10.5210/fm.v30i6.14188openalex-extracted
Charting the landscape of nefarious uses of generative artificial intelligence for online election interference
inferredcites →https://doi.org/10.2139/ssrn.3566894openalex-snapshot
Contracting, Pricing, and Data Collection Under the AI Flywheel Effect
inferredcites →https://doi.org/10.2139/ssrn.4400516openalex-snapshot
AI-Driven Labor Substitution: Evidence from Google Translate and ChatGPT
inferredcites →https://doi.org/10.48550/arxiv.2303.10130openalex-snapshot
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2308.10620openalex-snapshot
Large Language Models for Software Engineering: A Systematic Literature Review
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.