From chaos to symbiosis: exploring adaptive co-evolution strategies for generative AI and research integrity systems
● Develops an analytical framework grounded in Complex Adaptive Systems (CAS) theory to map evolving interactions among researchers, research subjects, scientific research administrators, and academic publishing institutions within GenAI-integrated research ecosystems. ● Identifies self-reinforcing dynamics between GenAI adoption and integrity governance, wherein adaptive rule adjustments by agents reshape system-wide integrity thresholds. ● Proposes adaptive governance mechanisms that balance innovation safeguards with integrity guardrails, emphasizing context-sensitive policy calibration over universal solutions.
Authors
- Tianlei Zheng
- Shenyang Zhang
- Qirui Liu (ORCID: https://orcid.org/0000-0002-0289-1471)
- Na Yang (ORCID: https://orcid.org/0000-0002-7176-1718)
- Wenqing Miao (ORCID: https://orcid.org/0000-0001-7355-5099)
- Hengzhi Zhang (ORCID: https://orcid.org/0000-0001-8056-417X)
- Huan Zang
- Hao F. Zhang (ORCID: https://orcid.org/0000-0001-5089-1196)
- Yuwan Zhang (ORCID: https://orcid.org/0000-0001-9459-381X)
- Ying Zhang (ORCID: https://orcid.org/0000-0003-1365-2983)
- Shengli Li (ORCID: https://orcid.org/0000-0003-0570-4165)
- Chunmei Liu (ORCID: https://orcid.org/0000-0003-4203-8990)
- Yan Zhou (ORCID: https://orcid.org/0000-0002-9468-3257)
Institutions
- Jiangsu Normal University (CN)
- Xuzhou Medical College (CN)
- China University of Mining and Technology (CN)
- Xuzhou No.1 People's Hospital (CN)
Publication Details
- Journal
- BMC Medical Ethics
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1186/s12910-025-01288-0
- Citations
- 1
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 4.17