Generative AI is beginning to have have deep and profound im- pacts on multi-agent strategic settings. Our workshop will probably be concentrated on this study course, covering emergent exploration subject areas such as mechanism style and design with/for gener- ative AI, making use of significant language designs in strategic options in addition to using them as proxies of human financial/social brokers in empirical research.
Having said that, these breakthroughs also deliver forth important troubles for instance ethical criteria, information privacy issues, and prospective biases. This workshop aims to examine how generative AI can be effectively and responsibly built-in into education and learning, making sure that its benefits are maximized while mitigating involved dangers.
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workshop aims to convene a Neighborhood of researchers, engineers, and practitioners with general public missions, to better leverage AI to hard complications of societal importance.
We stay up for your submissions also to viewing you at the workshop. In case you have any queries, please Be happy to Call the organizing committee.
Expressivity of tensor representations together with exponential lower bounds of matrix ranks and circuit sizes and sample complexity of discovered representations;
The Innovation & Accountability in AI-supported Education (iRAISE) workshop builds on very last 12 months’s accomplishment from the AI for Training: Bridging Innovation and Accountability workshop. It's going to investigate the options and worries of applying generative AI systems (GenAI) in training, fostering an comprehension of GenAI’s job in shaping the future of education and discussing the similar moral implications of responsible AI (RAI). Recognizing GenAI’s problems, for instance articles hallucination, elaborate reasoning, bias, and privateness fears, the function targets an interdisciplinary dialogue of those difficulties with the accountable implementation of those products in education.
Workshop Committee: Customers from tutorial and field companions might be detailed around the workshop’s website.
Submission demands fluctuate for every workshop. Submissions are mainly because of the organizers on November 24, 2023 (you should Verify particular person workshop websites for extensions). Please submit your papers for critique straight to the individual workshop according to their directions. Will not mail submissions to AAAI.
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The aim of the workshop will be to catalyze a worldwide effort and hard work to fill this hole by creating a get more info Translational Institute for Awareness Axiomatization (TIKA). TIKA is envisioned to function a hub for investigate, training, coaching, and hosting of repositories of open-supply knowledge according to open up info resources. The institute would concentrate on “use-motivated” investigate, addressing pragmatic problems in translating innovations in information graphs and reasoning to follow.
Scientists and engineers in diverse application domains are progressively relying on making use of computational and artificial intelligence (AI) resources to accelerate scientific discovery and engineering structure.
The approved papers will likely be publicly accessible on OpenReview, but the workshop is non-archival and doesn't have formal proceedings.