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SIAI Editor

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SIAI Editor is the institutional editorial identity of the Swiss Institute of Artificial Intelligence (SIAI). It covers research and analysis across AI policy and governance, economics and finance, law and regulation, workforce and education, scientific applications, computational methods, infrastructure, and the strategic adoption of artificial intelligence.

Publications under SIAI Editor are prepared or coordinated by SIAI’s research and editorial team and include research synthesis, policy and industry analysis, technical interpretation, and interdisciplinary work connecting artificial intelligence with established fields of research and professional practice.

SIAI Editor

Europe's frontier AI dependence has become a strategic cost Autonomy costs billions and years and Europe remains behind Abundant talent stays unconverted without capital and compute The European Union has about tw

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SIAI Editor

Survey data show wide but shallow generative AI adoption Chat logs misplace tasks and ignore abandoned or corrected answers Future data collection should record what happened to results Generative AI at work has already passe

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SIAI Editor

Ernst & Young LLP referenced an SIAI Research working paper in its September 24, 2026 BorderCrossings webcast, “Transfer pricing in the age of digital transformation.”

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SIAI Editor

Professor Keith Lee, Professor of AI and Finance at the Swiss Institute of Artificial Intelligence (SIAI), delivered

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SIAI Editor

Europe cannot fund a full AI stack while rearming Its real advantage is trained researchers, not capital Open-weight models bought by defence secure model-level sovereignty On June 12,

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SIAI Editor

AI answers replace clicks while crawlers take publishers' content Blocking removes rigorous sources and weakens answer reliability Verifiable crawlers and auditable payment are the minimum fix

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SIAI Editor

Age alone does not explain the generational AI gap Exposure and institutional support shape different adoption paths Younger and older users face different pressures to adopt The generational gap in AI is easy to describe an

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SIAI Editor

Deepfakes are only the visible layer of political AI risk Chatbots increasingly shape how voters receive political information Continuous monitoring makes changing AI behaviour visible and accountable A conservative political acti

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SIAI Editor

AI pattern recognition is improving early clinical detection Real-world trials show gains across several medical settings Human oversight, diverse data and workflow design remain essential In five hospitals in the United States, s

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SIAI Editor

OpenAI claims AI found a forced Navier-Stokes singularity Formal verification makes scalable machine mathematics newly credible Attribution, understanding and human judgment remain unresolved About ten thousand autonomous

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SIAI Editor

AI can improve assignments while weakening independent learning Outsourcing judgment differs from using AI as support Accountability eventually returns to human decision-makers In a county in central China, nearly 27,000

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SIAI Editor

Korea's 2011 gaming curfew failed to change teen behavior Meta's two-hour limit repeats the same enforcement design Circumvention already outpaces both countries' verification technology In 2024, So

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SIAI Editor

Fragile knowledge forms when AI teaching skips real questioning Bayesian framing explains why AI struggles with exceptions Paywalled science literature makes AI weakest on scientific questions In the fall announcements, the Alph

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SIAI Editor

Anthropic data shows AI speedups favor long, high-value tasks Bottleneck tasks limit uniform gains even in AI-heavy jobs Closing the gap needs domain judgment training, not prompting Among the task-level AI usage figures no

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SIAI Editor

AI's technical gains don't automatically become tax revenue Governments risk spending AI dividends before they exist No tax system yet converts compute into public revenue A few months ago, a common assumption

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