A Simple Key For artificial intelligence workshop Unveiled
A Simple Key For artificial intelligence workshop Unveiled
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Two sorts of papers are welcomed: Exploration papers (around 4 webpages in AAAI format, excluding references). Papers currently accepted at leading ML and AI conferences in the final year.
The workshop’s attendees are keynote speakers, authors whose papers are accepted, and scientists and industrial practitioners who can go to subsequent AAAI’s similar coverage. The envisioned quantity of attendees is about 55.
It will likely be a just one-working day workshop. We plan to have an invited keynote speaker, paper shows, and also a panel dialogue. We may invite further speakers if the amount of paper submissions is small.
We invite submissions around the theoretical foundations, algorithmic strategies, and functional strategies to ensure the accountable deployment of AI versions. The matters of desire include things like, but are usually not limited to, the subsequent:
Accepted papers are going to be introduced in the workshop and A part of a workshop continuing, unless opted out by the authors.
Scientists and engineers in varied domains are significantly relying on using AI equipment to speed up scientific discovery and engineering structure. This workshop aims to carry alongside one another scientists from AI and numerous science/engineering communities to obtain the following ambitions:
The Artificial Intelligence with Causal Technologies (AICT) workshop aims to debate recent improvements in causal methodology, like novel causal discovery and causal inference approaches, along with procedures for downstream causal tasks such as causal representation Studying, causal reinforcement Mastering, causal fairness, etc. We can even take a look at how these improvements during the causal Local community can add to distinctive subfields of AI which include recommender programs, pure language processing, Pc eyesight, and so forth.
Foundation designs (FMs) have transformed all-natural language being familiar with and Pc eyesight. Especially, investigate on LLMs and multi-modal LLMs in both of these domains is progressing speedily, and this progress is beginning to permeate a broad number of scientific disciplines. With this 2nd presenting of our workshop, our concentration is on FMs for advancing Organic discoveries. Present-day efforts have exposed that indeed FMs are advancing our ability to perform biological exploration in website silico, formulate attention-grabbing hypotheses and even style and design novel molecules, but biology remains intricate and is ultimately a multi- systems willpower.
Eventually, the workshop will welcome papers that explain the discharge of privateness-preserving benchmarks and info sets that could be used by the community to unravel elementary complications of desire, such as in device learning and optimization for overall health programs and concrete networks, to say but a handful of examples.
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How can the economical solutions sector harmony the regulatory compliance and product governance pressures with adaptive types
The accelerated developments in the sector of Artificial Intelligence (AI) trace at the need for contemplating Safety being a layout principle rather than a possibility. Nevertheless, theoreticians and practitioners of AI and Safety are confronted with various levels of security, distinctive ethical benchmarks and values, and distinct degrees of liability, that drive them to examine a large number of trade-offs and different options. These options can only be analyzed holistically In case the technological and moral Views are built-in in to the engineering problem, though thinking about the two the theoretical and realistic worries of AI protection.
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We largely Stick to the CIKM rules for paper submission aside from only one-blind peer critique. All critical pointers are as follows: