UKP Lab<p>Also consider following the authors Aniket Pramanick (Ubiquitous Knowledge Processing (UKP) Lab), Yufang Hou (IT:U- Interdisciplinary Transformation University Austria, IBM Research), Saif M Mohammad (National Research Council Canada / Conseil national de recherches Canada), and Iryna Gurevych (Ubiquitous Knowledge Processing (UKP) Lab).</p><p>🗺️ See you at <a href="https://sigmoid.social/tags/ACL2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ACL2025</span></a> in Vienna</p><p>(2/2)</p><p><a href="https://sigmoid.social/tags/NLProc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLProc</span></a> <a href="https://sigmoid.social/tags/ACL2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ACL2025</span></a> <a href="https://sigmoid.social/tags/AI4Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI4Science</span></a> <a href="https://sigmoid.social/tags/ACL2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ACL2025</span></a></p>
#ai4science
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Save the date - and prepare your contribution!
@EUA is organising an online conference on #AI and #universities, focusing on use cases, practices and policies, 22-23 May 2025. The call for contribution is open, registrations will open in the coming weeks.
#ArtificialIntelligence #highered #AI4Science
https://www.eua.eu/events/eua-events/eua-conference-on-artificial-intelligence.html
Continued thread
The #EU must take this seriously and support the application of #AI4Science – no pooling, double-tagging or leveraging, new money is needed.
A thread on #AI4Science: It has been a week of #AI events. First at #Swisscor and then at @euractiv
Some take-aways:
If you are in Brussels and interested in #AI4Science, this event should be for you.
I am looking much forward to giving the #university perspective
events.euractiv.comEU’s approach to Advanced Artificial Intelligence - Time for a “CERN for AI”?[b][i]Please note that this event is in-person only and will not be live-streamed.[/i][/b] [title][url=https://eurac.tv/9XAV]register here[/url][/title] The European Artificial Intelligence Act (AI Act)…
Looking forward to reading the University World News special report on #AI4science
#AI #Science #academia #Universities
https://www.universityworldnews.com/page.php?page=AIandResearch_Special_Report
University World NewsAI and Research Special ReportThe Global Window on Higher Education
"The unreasonable effectiveness of #machinelearning in the natural sciences"
Good read about #AI4science - where does it work, and where to be careful.
arXiv.orgIs machine learning good or bad for the natural sciences?Machine learning (ML) methods are having a huge impact across all of the sciences. However, ML has a strong ontology - in which only the data exist - and a strong epistemology - in which a model is considered good if it performs well on held-out training data. These philosophies are in strong conflict with both standard practices and key philosophies in the natural sciences. Here we identify some locations for ML in the natural sciences at which the ontology and epistemology are valuable. For example, when an expressive machine learning model is used in a causal inference to represent the effects of confounders, such as foregrounds, backgrounds, or instrument calibration parameters, the model capacity and loose philosophy of ML can make the results more trustworthy. We also show that there are contexts in which the introduction of ML introduces strong, unwanted statistical biases. For one, when ML models are used to emulate physical (or first-principles) simulations, they amplify confirmation biases. For another, when expressive regressions are used to label datasets, those labels cannot be used in downstream joint or ensemble analyses without taking on uncontrolled biases. The question in the title is being asked of all of the natural sciences; that is, we are calling on the scientific communities to take a step back and consider the role and value of ML in their fields; the (partial) answers we give here come from the particular perspective of physics.
RT by @EU_ScienceHub: Transmitted last week to @vestager & @Ili_Ivanova, the Scientific Advice Mechanism (SAM) #sciadvice presents
the current state of #AI with its challenges & opportunities
evidence-based recommendations to policymakers
[2024-04-23 08:00 UTC]
RT by @EU_ScienceHub: .@EU_Commission Executive Vice- President @vestager & Commissioner @Ili_Ivanova have just received the Scientific Advice Mechanism (SAM) independent advice on #AI in science.
Discover the SAM approach for facilitating the uptake of AI in R&I across 
[2024-04-15 13:56 UTC]
RT by @EU_ScienceHub: How can we accelerate a responsible uptake of AI in science in the EU?
The Scientific Advice Mechanism (SAM) will soon provide its independent #SciAdvice to the European Commission.
15 April - 11:45 - 12:15 CET
http://bit.ly/43NHPTF
[2024-04-09 08:50 UTC]
The #EU Commission has published guidelines for using #generativeAI in #research. Mostly non-surprising content. It is noticeable, however, that there is a strong recommendation to "implement locally hosted or cloud-based generative #AI tools that [research performing organisations] govern themselves", instead of using #bigtech providers.
Research and innovationGuidelines on the responsible use of generative AI in research developed by the European Research Area ForumResearch and innovation news alert: The Commission, together with the European Research Area countries and stakeholders, has put forward a set of guidelines to support the European research community in their responsible use of generative artificial intelligence (AI).
Great bibliometric evidence from the @EU_ScienceHub about #AI4science
China is leading in quantity, but not quality.
Research and innovationTrends in the use of AI in scienceWP 2023/04 - This paper provides new insights into the role of Artificial Intelligence in scientific research across various domains of science.
The EU's #AIAct will have little direct implications for #research, but good practices of risk management could trickle down to #Science
www.nature.comWhat the EU’s tough AI law means for research and ChatGPTThe EU AI Act is the world’s first major legislation on artificial intelligence and strictly regulates general-purpose models.
“We need to facilitate a discussion about what the real issues are [concerning #highered #research and #AI]. What do we know, what do we need to know? It’s been a year of experimentation, really. We can begin to share the outcomes of that experimentation, maybe share a bit about the methods of that experimentation,”
Good, longish read in University World News about where we are on #AI #generativeAI #ChatGPT #AI4Science
https://www.universityworldnews.com/post.php?story=2024012705101220
University World NewsGenerative AI action hints at core future roles in universitiesWith the arrival of generative AI such as ChatGPT, science fiction took a big step towards fact. Last year, universities explored the implications of ...
In the US, an impressive range of stakeholders is piloting a common platform (training, data, computing) for #AI4science - inspiration for the European discussions about a 'CERN for #AI?
nairrpilot.orgNAIRR Pilot - HomeHUBzero - The platform for scientific research and collaboration.