We invite Everybody attending AAAI convention to hitch to the workshop. We consider This can be an thrilling difficulty space where promising systems of our generation may help handle most tough complications of our society by accelerating scientific discovery and engineering design and style. 

All recognized papers will likely be presented on the workshop in-human being as posters and posted on this website . A minimum of 1 author of each and every recognized paper will have to go to the AAAI workshop in-person to existing their operate and attend the Q&A session.

OpenReview. The ask for for any submission internet site has currently been made, though the link hasn't still been supplied by OpenReview. It will likely be provided without delay.  

Belief and Transparency: Developing reputable AI units that clinicians and sufferers can rely upon for exact prognosis and treatment. 

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Palms-on things to do to introduce and consolidate the participant’s expertise and skills Along with the Rescue Simulation platforms. The planned tutorials are:

Key themes from the workshop consist of accountable AI techniques, safety protocols, and moral things to consider, with a specific center on design basic safety as well as the avoidance of unintended repercussions which include bias in AI-driven final decision-making.

“I was really excited to find out how alive Airmeet appeared. The first time I raised my virtual hand to ask an issue, I was introduced up on stage, my digital camera flipped on, and I used to be capable of talk with the presenters, that was the bought-minute in my head!

Low-rank buildings to speed up computation of large ML units such as adaptors click here in LLMs and structured computational graphs; 

The presenters of acknowledged papers and posters are expected to show up at in person, besides in Unique conditions.   

Hosted by Temple College, this workshop aims to unite all researchers, builders, and practitioners on a standard forum to discuss and exchange insights within the issues and alternatives in collaborative AI. 

Distinctive emphasis need to be placed on where by the data originated from, who controls and accesses the data, how scholar info is shielded, and whether the knowledge is fair and representative.

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Papers ought to be anonymized; reviewing is double-blind. The necessities are analogous to AAAI demands, i.e., 7 webpages of technological content material moreover extra webpages entirely for references; acknowledgements need to be omitted from papers submitted for evaluate.