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RIR-2030 · Logged 13 July 2026
Defining Meta-Responsibility Frameworks for Sustainable and Ethical Artificial Intelligence Ecosystems in Modern Organizations
This paper proposes a shift from isolated AI ethics to a systemic 'meta-responsibility' model, conceptualizing intelligent systems as interconnected socio-technical ecosystems.
In plain words
Instead of treating each ethical problem with artificial intelligence on its own, this idea looks at the whole system of people, organisations and technology around it. It asks what makes that system responsible.
Primary research question
What structural characteristics define a responsible AI ecosystem within complex socio-technical organizational environments?
Knowledge gap
What remains worth asking
Existing discourse often focuses on specific mitigation strategies rather than the holistic governance of AI as an integrated ecosystem.
Potential contribution
Why it may matter
Provides a theoretical foundation for developers and managers to align AI deployment with broader societal and ethical responsibilities.
Academic placement
Academic fields and topic tags
Study frame: Applies to organizational governance and the design of responsible AI development lifecycles. · Method signals: Conceptual Analysis, Systems Thinking
Possible study pathways
One question, different levels
Professional master’s / MBA
Strategic management of ethical AI implementation in business.
Doctoral
Theoretical development of socio-technical governance models.
- originality
- Moderate
- methodology
- Accessible
- Data access
- Accessible
- ethics
- Advanced
Quality and audit
78/100 quality
Safeguard-based audit was not recorded under the prior standard.
- Strong focus on organizational strategy and ethical governance.
- Theoretical contribution to AI policy.
- Open-access scholarly source and DOI metadata verified
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Research Idea curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.
APA 7 source
Stahl, B. C. (2023). Embedding responsibility in intelligent systems: from AI ethics to responsible AI ecosystems. Scientific Reports, 13(1), Article 7586. https://doi.org/10.1038/s41598-023-34622-w
Paper abstract and discussion context; AI-inferred direction
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗