The Basic Principles Of artificial intelligence workshop
The Basic Principles Of artificial intelligence workshop
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Papers ought to be anonymized; examining is double-blind. The necessities are analogous to AAAI demands, i.e., seven internet pages of technological material moreover further web pages entirely for references; acknowledgements need to be omitted from papers submitted for critique.
Accepted papers will be introduced within the workshop and A part of a workshop proceeding, Unless of course opted out with the authors.
Operational matters handle the business use conditions, workflows and programs of potential public service actions for which AI may have a transformational influence.
We encourage submissions underneath one particular of these matters of curiosity, but we also welcome other appealing and suitable investigate for planning great information.
Two kinds of papers are welcomed: Exploration papers (as many as four pages in AAAI structure, excluding references). Papers currently approved at leading ML and AI conferences in the final year.
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Authors of accepted papers might be invited to current their perform at the workshop. Presentation specifics will be provided upon acceptance.
Together with insightful complex conversations, we also plan to hold introductory talks to educate a broader Local community with regards to the importance and urgency of AI governance. These talks will serve as a foundational introduction to the subject matter and its implications for Culture at significant.
An read more knowledge of artificial intelligence can be utilized to guidance many Occupations, but some careers particularly require a track record in AI. Some samples of Occupations in AI contain:
Our choices involve Highly developed analytics, personalized Understanding paths, and collaborative resources. To discover our AI teaching choices and create a purchase, be sure to pay a visit to our Coursera for Groups page.
We look forward to your submissions and participation Within this crucial workshop on avoiding and detecting LLM generated misinformation.
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Distinctive emphasis needs to be placed on in which the info originated from, who controls and accesses the data, how university student details is guarded, and if the facts is good and agent.