As well as the following study themes, we inspire novel contributions from scientists that bring distinctive perspectives over the core focus with the workshop:
All submissions will go through peer evaluate via a solitary-blind approach. While workshop publication is non-archival, recognized papers will likely be highlighted on our Web page with writer permission.
Attendees will likely have the opportunity to participate in insightful discussions, attain useful insights into the latest improvements, and create significant connections with field leaders.
We welcome submissions from researchers engaged on associated subject areas for example neural method synthesis, software induction, and strategy Discovering.
This workshop encourages submissions of innovative answers for just a broad selection of time collection Examination issues. Topics of fascination involve but will not be limited to the following:
The Innovation & Responsibility in AI-supported Training (iRAISE) workshop builds on very last year’s accomplishment on the AI for Schooling: Bridging Innovation and Accountability workshop. It will examine the possibilities and difficulties of employing generative AI systems (GenAI) in education, fostering an understanding of GenAI’s job in shaping the future of training and discussing the related moral implications of accountable AI (RAI). Recognizing GenAI’s issues, for instance content material hallucination, complex reasoning, bias, and privacy problems, the celebration targets an interdisciplinary dialogue of those problems for the dependable implementation of these types in education.
This workshop welcomes contributions toward generation and advancement of datasets and benchmarks utilized for evaluation of basic safety of AI units (in particular LLMs) according to the attributes outlined previously mentioned. The work could be theoretical (new strategies to generating datasets or proving a dataset’s adequacy with the endeavor) or functional (suggesting new datasets, examining the validity of existing datasets, improving upon current datasets).
What characteristics or Homes does it have That may make it an excellent/bad match for specific community missions?
The AI4E system is tailor-made for your wide viewers, which includes secondary college learners, working pros, and any individual interested in gaining a foundational comprehension of AI.
This one-working day workshop will consist of keynote talks by distinguished specialists and paper displays in thematic periods. This system may even consist of interactive discussions and poster displays of superior-high quality submissions not chosen for oral periods. If applicable, a Best Paper Award could possibly be introduced in the workshop’s conclusion.
As LLMs go on to showcase the chance to coordinate numerous AI agents for complicated trouble-solving, the workshop will delve into pivotal open up investigation inquiries that advance the comprehending and prospective of LLM-primarily based multi-agent collaboration.
Here are some standout AI expo trade demonstrates to think about for those desperate to discover the forefront of artificial intelligence and choose which function may well very best suit their trade extravaganza plans.
By educational sessions and discussions, contributors will get a further comprehension of the problems posed by AI systems and the necessity for efficient governance. We invite submissions of papers, posters, and demonstrations on any subject connected with AI Governance, together with although not restricted to:
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