Digital biology is transforming global health by rendering biological systems programmable through dataintensive models,algorithmic decision-making,and transnational data infrastructures,creating new governance challe...Digital biology is transforming global health by rendering biological systems programmable through dataintensive models,algorithmic decision-making,and transnational data infrastructures,creating new governance challenges around equity,accountability,and power.This commentary advances the central contribution that ethics in digital biology must be understood and designed as governance infrastructure,embedded within data architectures,system design,and institutional arrangements,rather than treated as downstream compliance or ethical guidance.This reframing matters for global health institutions,particularly the World Health Organisation,as effective oversight of codified health systems will require new roles in setting validation standards,lifecycle accountability mechanisms,and interoperable governance frameworks capable of operating across jurisdictions and resource-constrained contexts.展开更多
Digital governance scholarship has expanded rapidly over the past decade,yet the field lacks a systematic mapping of its conceptual architecture.This article presents a comprehensive systematic review of institutional...Digital governance scholarship has expanded rapidly over the past decade,yet the field lacks a systematic mapping of its conceptual architecture.This article presents a comprehensive systematic review of institutional,accountability,and algorithmic power scholarship from 2015 to 2025,analysing how concepts have emerged,consolidated,and fragmented across four distinct phases:the Transparency Turn(2015–2018),when algorithmic opacity dominated scholarly attention;the Accountability Turn(2018–2021),which shifted focus toward institutional mechanisms;the Regulatory Turn(2021–2023),driven by binding legislative initiatives;and the Agentic Horizon(2024–2025),where autonomous AI systems challenge existing frameworks.Drawing on 94 core sources identified through Web of Science and Scopus using PRISMA screening procedures,the review constructs a thematic taxonomy organised into four clusters and diagnoses three structural research gaps:the conceptual vacuum surrounding agentic accountability,governance fragmentation across jurisdictions,and temporal misalignment between institutional design and technological evolution.The article introduces the Governance Coupling Framework(GCF),an original three-layer analytical model connecting institutional configurations,accountability tools,and algorithmic power control points.The framework’s central mechanism—transparency–accountability decoupling(TAD)—identifies the systematic failure through which information disclosure fails to produce institutional accountability.Three research propositions operationalise these findings with corpus-derived evidence.The review provides a periodised knowledge map,a diagnostic analytical framework,and a structured research agenda for digital governance research.展开更多
文摘Digital biology is transforming global health by rendering biological systems programmable through dataintensive models,algorithmic decision-making,and transnational data infrastructures,creating new governance challenges around equity,accountability,and power.This commentary advances the central contribution that ethics in digital biology must be understood and designed as governance infrastructure,embedded within data architectures,system design,and institutional arrangements,rather than treated as downstream compliance or ethical guidance.This reframing matters for global health institutions,particularly the World Health Organisation,as effective oversight of codified health systems will require new roles in setting validation standards,lifecycle accountability mechanisms,and interoperable governance frameworks capable of operating across jurisdictions and resource-constrained contexts.
文摘Digital governance scholarship has expanded rapidly over the past decade,yet the field lacks a systematic mapping of its conceptual architecture.This article presents a comprehensive systematic review of institutional,accountability,and algorithmic power scholarship from 2015 to 2025,analysing how concepts have emerged,consolidated,and fragmented across four distinct phases:the Transparency Turn(2015–2018),when algorithmic opacity dominated scholarly attention;the Accountability Turn(2018–2021),which shifted focus toward institutional mechanisms;the Regulatory Turn(2021–2023),driven by binding legislative initiatives;and the Agentic Horizon(2024–2025),where autonomous AI systems challenge existing frameworks.Drawing on 94 core sources identified through Web of Science and Scopus using PRISMA screening procedures,the review constructs a thematic taxonomy organised into four clusters and diagnoses three structural research gaps:the conceptual vacuum surrounding agentic accountability,governance fragmentation across jurisdictions,and temporal misalignment between institutional design and technological evolution.The article introduces the Governance Coupling Framework(GCF),an original three-layer analytical model connecting institutional configurations,accountability tools,and algorithmic power control points.The framework’s central mechanism—transparency–accountability decoupling(TAD)—identifies the systematic failure through which information disclosure fails to produce institutional accountability.Three research propositions operationalise these findings with corpus-derived evidence.The review provides a periodised knowledge map,a diagnostic analytical framework,and a structured research agenda for digital governance research.
