Can AI Make Research More Open?
Generative AI tools could have a transformative effect on open science by prompting the creation and publication of open datasets.
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China Leads EU and US on Using Artificial Intelligence in Science
Chinese scientists have incorporated artificial intelligence into their work more rapidly than their EU or US counterparts, a European Commission analysis has found, bolstering the case for the bloc to speed up adoption.
Why an Overreliance on AI-driven Modelling is Bad for Science
Without clear protocols to catch errors, artificial intelligence's growing role in science could do more harm than good.
Switzerland Risks Exclusion from Europe's 'CERN for AI'
Switzerland's inclusion in the European project for a 'CERN for AI' could be limited by its status as a non-EU member country.
Trump Administration Seeks Input from Public on National Artificial Intelligence Action Plan
Why International Collaboration on AI is Important to the UK
The UK's AI regulation diverges sharply from its allies, yet global collaboration remains key. Bilateral & multilateral efforts in AI governance bolster UK's foreign policy, trade, and innovation. Can it maintain leadership in shaping global AI norms?
EU Cybersecurity Centre Plans Calls on AI Tools and Quantum Threats
EU Cybersecurity Centre Plans Calls on AI Tools and Quantum Threats
Calls for proposals on artificial intelligence cybersecurity tools and countering threats from quantum computers are set out in a draft work programme from the European Cybersecurity Competence Centre (ECCC).
A Case for Inclusive AI from Africa
Africa is home to about 2000 languages, with 75 of them having more than one million speakers each. Yet, this linguistic abundance is not reflected in the large language models (LLMs)-which are at the core of many AI systems-that are widely used. This creates a significant barrier in trying to build localised solutions.
Forget about those disciplinary boundaries’: Narayanan and Kapoor on collaboration in AI research and policy
Assessing Potential Future Artificial Intelligence Risks, Benefits and Policy Imperatives
Assessing Potential Future Artificial Intelligence Risks, Benefits and Policy Imperatives
The swift evolution of AI technologies calls for policymakers to consider and proactively manage AI-driven change. This OECD's report distils research and expert insights on prospective AI benefits, risks and policy imperatives.
Simple Science Summaries Written by AI Help People Understand Research and Trust Scientists
Simple Science Summaries Written by AI Help People Understand Research and Trust Scientists
Scientists use jargon and complicated language to describe their work. Regular folks 'get it' more when descriptions are simpler - and think better of the researchers themselves.
Google Unveils Invisible 'Watermark' for AI-Generated Text
Real-world demonstration in chatbot responses could encourage other firms to label material produced by AI.
AI Is Revolutionizing Science. Are Scientists Ready?
AI's influence has already spread to nearly every discipline. But fully harnessing its impact will require better training for researchers.
Swiss Alps Supercomputer to Leverage AI for Science
Switzerland's new supercomputer, Alps, will provide science projects with the muscle to harness the potential of AI.
The Challenge of Preserving Good Data in the Age of AI
If artificial intelligence-created content floods the internet, who decides what online information is worth archiving?
If Generative AI Accelerates Science, Peer Review Needs to Catch Up
Studies have increasingly shown the widespread use of generative AI in research publications. Faced with the consequent uptick in the number of publications, Simone Ragavooloo argues that editors and reviewers should embrace AI tools to undertake the heavy lifting of statistical and methodological review and to allow them to focus on areas that require human expertise.
The Rise of AI in the Global South and the Need for Inclusion
In the context of the Global South, it is critical to recognize the capacity for exploitation. It is also critical to understand the inputs these regions will need to continue the growth of their AI ecosystems and expertise, allowing them to be empowered stakeholders and beneficiaries of this technological revolution.
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