A Simple Key For workshop artificial intelligence Unveiled
A Simple Key For workshop artificial intelligence Unveiled
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Authors should have an OpenReview account to make submissions. Make sure you adhere into the submission suggestions outlined about the workshop Web site.
All submissions should be in English and Keep to the AAAI meeting proceedings format. The site limitations consist of all content material except references.
We stimulate participation from scientists inside of a wide selection of matters Discovering AI/ML procedures to detect novel patterns and anomalies inside info and endorse scientific discovery. Study queries might involve (but aren't limited to): How can we automate the invention of recent scientific phenomena?
Two forms of papers are welcomed: Study papers (approximately four pages in AAAI structure, excluding references). Papers by now accepted at best ML and AI conferences in the final year.
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This workshop concentrates on assessing the protection of AI versions and particularly on LLMs. We are especially considering Focus on increasing datasets and benchmarks, and also devising approaches for analyzing the safety of AI types through the development of evaluators.
Quite a few workshops include essential subject areas close to AI ethics, privateness and liable AI utilization. As the entire world adopts more AI-driven solutions, knowledge these ethical concerns is vital for building fair, transparent and safe AI purposes.
Attendees may have the chance to examine how ToM can increase AI-human interactions, enhance cooperative multi-agent methods and add to ethical AI enhancement.
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What's more, prolonged-phrase existential challenges related to the event of superintelligent AI techniques can't be overlooked.
Authors of approved papers might be invited to existing their do the job for the workshop. Presentation information will likely be supplied on acceptance.
This workshop aims to persuade discussion and collaboration concerning scientists in the fields of AI scheduling and reinforcement Studying. We purpose to bridge the gap between the two communities, aid the discussion of dissimilarities and similarities in current procedures, and inspire collaboration through the fields.
Some of the precise regions we want to gain a greater knowledge in contain: what LLMs can add to preparing, how LLMs can/ought to be made use of, what are the pitfalls of working with LLMs, Exactly what are the guarantees that could be acquired.
Accessibility to experts and collaboration concerning knowledge-grounded autonomous scientific research models