科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ Science and Public Policy2026-06-04· Open science

Perspectives on South Africa’s open science policy: artificial intelligence and data ownership as unresolved questions

Donrich Thaldar, Nyna Amin, Siddharthiya Pillay, Janet Bruce-Brand, Siyabonga Dlamini, Reginald Govender, Salina Govindsamy, Wayne Hugo, Lucinda Kok, Neil Koorbanally

原始摘要(英文原文)· Original abstract
Abstract South Africa’s National Open Science Policy, approved in 2026, promotes open science through incentives rather than state control. However, the policy leaves two foundational questions unresolved. First, it makes no reference to artificial intelligence (AI), despite AI being an increasingly popular means by which research data is now produced, curated, and analysed across contemporary scientific practice. Second, it does not address who owns research data, confining its treatment of property rights to intellectual property and ignoring common-law ownership. These omissions converge at a single critical point: the ownership of AI-generated research outputs. We argue that without resolving these foundational questions, the policy’s vision of open science risks remaining aspirational rather than achievable.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

Perspectives on South Africa’s open science policy: artificial intelligence and data ownership as unresolved questions — 科研速览 Science Skim