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Digital biology and the ethics of codified health systems 认领 引用
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作者 Jane Thomason 《Global Health Journal》 CAS 2026年第1期1-6,共6页
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
关键词 Digital biology Codified society Ethics as infrastructure Algorithmic accountability Global health governance
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Challenges and Countermeasures for AI Ethics and Privacy Protection in Autonomous Ride-Hailing Platforms 认领 引用
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作者 Jingqian Wei Wenji Li 《人工智能创新应用》 2026年第1期1-13,共13页
The rapid advancement of autonomous vehicle technology has catalyzed the emergence of autonomous ride-hailing platforms,fundamentally transforming urban mobility paradigms.However,these platforms present unprecedented... The rapid advancement of autonomous vehicle technology has catalyzed the emergence of autonomous ride-hailing platforms,fundamentally transforming urban mobility paradigms.However,these platforms present unprecedented challenges concerning artificial intelligence ethics and user privacy protection.This paper systematically examines the multifaceted ethical dilemmas and privacy vulnerabilities inherent in autonomous ride-hailing ecosystems.Through comprehensive analysis of current technological implementations and regulatory frameworks,this study identifies five critical challenge domains:algorithmic decision-making transparency,data collection and surveillance concerns,liability attribution complexities,algorithmic bias and discrimination,and cross-border data governance issues.Subsequently,this paper proposes an integrated countermeasure framework encompassing technical solutions,regulatory mechanisms,corporate governance structures,and user empowerment strategies.The findings suggest that addressing these challenges requires collaborative efforts among technology developers,policymakers,and civil society to establish a balanced approach that fosters innovation while protecting fundamental rights.This research contributes to the ongoing discourse on responsible AI deployment in transportation systems and provides actionable recommendations for stakeholders across the autonomous mobility ecosystem. 展开更多
关键词 Autonomous vehicles Ride-hailing platforms AI ethics Privacy protection Algorithmic accountability Data governance
The Conceptual Architecture of Digital Governance:A Systematic Review(2015‑2025) 认领 引用
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作者 Alexander LEE 《数字社会与虚拟治理》 2025年第2期79-105,共27页
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
关键词 digital governance systematic review algorithmic accountability institutional theory algorithmic power conceptual architecture 2015-2025
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