About ai workshops
About ai workshops
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Circuit representations for trustworthy and effective probabilistic reasoning and Finding out with apps to trust- deserving ML like reliable neuro-symbolic AI;
The workshop is open up to all registered contributors. During the function of higher need, priority will likely be specified to authors of recognized papers.
At this instant, there is absolutely no Restrict on the maximum quantity of attendees. The workshop organizers will talk to the meeting organizers if the amount of attendees exceeds the expectation.
This workshop is customized for any person keen on Discovering the cutting-edge developments in AI and ML, from tech pros aiming to integrate AI into their get the job done, to college students and hobbyists fascinated by AI's abilities. No prior deep tech qualifications is needed, just an enthusiasm for AI and its potential.
The workshop’s attendees are keynote speakers, authors whose papers are recognized, and scientists and industrial practitioners who can show up at pursuing AAAI’s similar policy. The expected selection of attendees is about 55.
This workshop will convey with each more info other researchers and practitioners to foster collaboration, share insights, and encourage new investigation directions while in the responsible advancement and deployment of LLM systems.
In combination with insightful complex discussions, we also system to hold introductory talks to teach a broader community with regard to the importance and urgency of AI governance. These talks will serve as a foundational introduction to the subject matter and its implications for Modern society at substantial.
We welcome submissions from scientists working on associated topics such as neural method synthesis, software induction, and notion Understanding.
By means of useful sessions and conversations, participants will achieve a deeper comprehension of the issues posed by AI technologies and the need for productive governance. We invite submissions of papers, posters, and demonstrations on any subject matter relevant to AI Governance, including but not restricted to:
Personalization. Investigation into purposes of reinforcement Understanding, suggestion methods, and information tracing to individualized adaptive curricula and computerized adaptive exams;
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How can we embed a Idea of uncertainty in just AI/ML to quantify the importance of a discovery? How can we assure Good reproducibility of such discoveries? Which interpretable AI/ML approaches can create immediate explanations of those discoveries?
What attributes or Attributes does it have Which may allow it to be a very good/undesirable suit for unique public missions?