Two different types of papers are welcomed: Analysis papers (as much as 4 pages in AAAI structure, excluding references). Papers now approved at major ML and AI conferences in the last 12 months. 

The session offers an in-depth look into AI, from foundational cloud-primarily based AI remedies to actionable approaches that deal with important enterprise problems. Individuals can assume arms-on Mastering via actual-lifestyle circumstance studies and Dwell AI demos, showcasing AI’s abilities in a company context.

All submissions must adhere to your AAAI formatting rules and may undertake a double-blind review procedure. 

By specializing in these key challenges, we aim to mitigate the damage brought on by LLM-produced misinformation throughout various domains.

“This future generation of AI will reshape just about every software program category and each company, which includes our very own.”

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The prevalent usage of LLMs would make addressing misinformation they crank out extra urgent than ever before. As these designs develop into much more State-of-the-art, they are able to make textual content that seems credible but may well comprise Fake information and facts, impacting locations like healthcare, finance, and community policy.

As LLMs carry on to showcase the ability to coordinate a number of AI brokers for complex problem-fixing, the workshop will delve into pivotal open up investigate click here questions that progress the knowledge and likely of LLM-centered multi-agent collaboration. 

What strategies and ways may be used to detect and effectively take care of identical eventualities Down the road?

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This could become a at some point workshop, including four invited speakers, 1 panel session, several oral presentations with the accepted extensive papers and two poster periods for all approved papers like small and prolonged.

Additionally, extended-phrase existential hazards related to the development of superintelligent AI devices can not be ignored. 

Recent advancements in AI apps, including tensor factorizations and polynomial networks, have enabled improvements in fields like significant language models, quantum computing, and deep Studying. The purpose of this workshop would be to foster collaboration and dialogue across distinct investigation communities working with very low-rank ways to drive additional breakthroughs in AI. 

This manner of Finding out has also been called “learning by staying advised” in the feeling of McCarthy’s advice taker. TIKA will be to progress the state-of-the-art in understanding axiomatization by considering working experience from prior attempts for instance Cyc, Venture Halo, Wolfram Alpha, ProtoOKN plus the Linguistic Data Consortium. As being the goal on the workshop is to serve as a launchpad for TIKA with enter from the broader AI Neighborhood, we welcome submissions on matters that will constructively advance this mission. Some (but not all) on the matters consist of: