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These will differ in length with regards to the submission variety and reviewer feedback. A last session will have a panel discussion by senior and up-and-coming researchers, specializing in upcoming actions for your Group. 

The Innovation & Obligation in AI-supported Instruction (iRAISE) workshop builds on past yr’s results of the AI for Training: Bridging Innovation and Accountability workshop. It can check out the chances and issues of utilizing generative AI technologies (GenAI) in training, fostering an understanding of GenAI’s part in shaping the future of schooling and speaking about the related ethical implications of accountable AI (RAI). Recognizing GenAI’s problems, which include information hallucination, complex reasoning, bias, and privacy considerations, the occasion targets an interdisciplinary discussion of those challenges with the responsible implementation of such models in education and learning.

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We largely Adhere to the CIKM tips for paper submission aside from one-blind peer assessment. All essential recommendations are as follows:

At last, the workshop will welcome papers that explain the discharge of privateness-preserving benchmarks and info sets which might be utilized by the Local community to resolve elementary challenges of interest, such as in machine Studying and optimization for wellness techniques and concrete networks, to mention but a handful of examples. 

When existing AI protection approaches generally assume human initiative, PSS uniquely considers eventualities where by superintelligence retains the initiative.

The proposed workshop is expected being comprised of two keynotes, accompanied by common paper shows.  

The workshop is open to scientists, practitioners, and marketplace specialists enthusiastic about AI with causal approaches. There aren't any specific criteria or most quantity of attendees.

We assume fifty-seventy five individuals and possibly extra In keeping with our previous activities. We warmly invite researchers, practitioners, and pupils from both equally academia and field to join us in exploring and talking about options for addressing the challenges of scalability and effectiveness in AI.

New advancements in AI programs, for instance tensor factorizations and polynomial networks, have enabled enhancements in fields like massive language styles, quantum computing, and deep Studying. The aim of this workshop would be to foster collaboration and dialogue throughout distinctive study communities dealing with reduced-rank methods to push further more breakthroughs in AI. 

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The attendance is anticipated mostly in the AI and robotics community. Nonetheless, scientists and practitioners whose research could possibly implement to cooperative MAS selection-producing and Understanding get more info or who could have the ability to use These strategies inside their study are welcome. 

Submission demands change for every workshop. Submissions are due to the organizers on November 22, 2024 (please Look at unique workshop Web-sites for extensions). You should submit your papers for overview directly to the individual workshop Based on their directions. Do not mail submissions to AAAI.