The Basic Principles Of ai workshops
The Basic Principles Of ai workshops
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The intersection of AI and privacy is not basically a technical dilemma but a societal worry that calls for watchful factors.
Assess and extract vital info from unstructured text like emails and social media. Establish traits and sentiments to travel details-pushed decisions.
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This workshop aims to provide an extensive understanding of AI governance rules, frameworks, and greatest methods to empower members in navigating the moral, authorized, and societal Proportions of AI.
This one-day workshop will include keynote talks by distinguished authorities and paper presentations in thematic sessions. The program will also consist of interactive discussions and poster presentations of higher-good quality submissions not chosen for oral classes. If relevant, a Finest Paper Award could possibly be presented within the workshop’s conclusion.
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Submissions should be 4-7 pages extensive, excluding references, and stick to AAAI 2025 template. Submissions are double-blind and author id shouldn't be exposed for the reviewers. An optional appendix of arbitrary duration is authorized and should be set at the end of the paper (following references).
We really encourage submissions below a single of those topics of desire, but we also welcome other exciting and related research for ai workshops planning great details.
We solicit curiosity from AI scientists that function while in the intersection of setting up and reinforcement Studying, specifically, All those that target smart conclusion-producing. Here is the eighth edition of the PRL workshop sequence.
Workshop Committee: Users from educational and business companions will be outlined over the workshop’s Site.
The Innovation & Responsibility in AI-supported Training (iRAISE) workshop builds on very last yr’s achievements from the AI for Instruction: Bridging Innovation and Responsibility workshop. It can examine the options and challenges of employing generative AI systems (GenAI) in education and learning, fostering an understanding of GenAI’s function in shaping the future of training and speaking about the associated ethical implications of liable AI (RAI). Recognizing GenAI’s difficulties, such as information hallucination, complex reasoning, bias, and privacy concerns, the party targets an interdisciplinary dialogue of such issues for your accountable implementation of those versions in instruction.
The pages incorporate references and any appendices. Additional advice about the submissions is in the Workshop Web page. The review system will probably be solitary blind.
By giving your information, you consent to acquire communications by phone and electronic mail including by using automated technology from Cornell. You may also elect to decide into text messaging.
Each paper and poster submissions might be peer-reviewed. Papers could be recognized for presentation as a chat plus a poster or only to be a poster.