Permanent record · RIR–2030
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.
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
OECD fields and topic tags
Scope: 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
Strategic management of ethical AI implementation in business.
Theoretical development of socio-technical governance models.
Qualification signal
78/100
- Strong focus on organizational strategy and ethical governance.
- Theoretical contribution to AI policy.
- Open-access scholarly source and DOI metadata verified
Provenance
Research Idea Registry curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
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
Open source ↗