We generally Stick to the CIKM guidelines for paper submission apart from just one-blind peer assessment. All crucial rules are as follows:
All submissions ought to adhere for the AAAI formatting tips and can bear a double-blind critique process.
The workshop is open up to all registered contributors. During the party of superior demand from customers, precedence might be specified to authors of recognized papers.
This workshop aims to provide an extensive understanding of AI governance principles, frameworks, and greatest tactics to empower individuals in navigating the moral, authorized, and societal Proportions of AI.
By the tip from the workshop, attendees should have created an extensive idea of AI and ML's abilities and restrictions, equipped with the skills to use these systems in different domains, from tech and Health care to finance and outside of.
We have properly created Generative AI and ML alternatives nearshore for our buyers working with huge language products and machine Finding out frameworks given that 2016.
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Solution: Our AI Consciousness workshops demystify AI and provide a clear understanding of its recent and potential impacts on different sectors. We’ll walk you through serious-planet purposes that can assist you identify alternatives in your organization.
(most 6 internet pages.) Operate in development is welcome. Authors are encouraged to include descriptions of their prototype implementation. Conceptual types with none proof of useful implementation are discouraged. Subject areas of curiosity involve, but will not be restricted to:
All submissions ought to Keep to the PMLR fashion template. Recognized whole papers will probably be invited to submit posters spotlights and posters in the workshop and also an extended Edition, addressing the reviewer remarks, to PMLR () for being revealed as Portion of the Workshop Proceedings.
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Approved papers need in-man or woman presentation by a minimum of just one author. All accepted papers will likely be printed on the workshop Web page, and authors are inspired to also share their work on platforms like arXiv or other on the net repositories.
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We invite papers that concentrate on various elements of mitigating misinformation created by LLMs. Matters of interest include (but are usually not restricted to):