artificial intelligence workshop - An Overview
artificial intelligence workshop - An Overview
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Human enhancement: Procedures for human adaptation and value redefinition to coexist with superintelligence
We invite papers that target various facets of mitigating misinformation produced by LLMs. Subject areas of fascination incorporate (but are not restricted to):
A regular keynote speaker at marketing and tech occasions around the globe, he provides just about 20 years of experience in progress, promoting, and technology.
We would want to Specific our sincere gratitude to our specialized software committee for generously volunteering their time and experience to evaluate submissions for our workshop.
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The immediate growth of scientific publications and visually rich document collections poses exclusive worries for scientists and practitioners across several fields. Being up-to-date with the newest conclusions and determining emerging worries is more and more challenging, producing the development of advanced technologies to streamline doc understanding necessary. The Workshop on Doc Comprehending and Intelligence: From Textual Written content to Visually-Wealthy Framework (W25) aims to deliver a unique forum for researchers to Trade ideas also to discover chopping-edge methodologies and resources that allow a comprehensive understanding of scholarly and visually structured documents.
Associated techniques: deep Discovering; reinforcement Discovering; inductive logic programming; classical setting up; heuristic lookup; and neuro-symbolic methods.
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Important themes with the workshop include dependable AI practices, security protocols, and ethical criteria, with a specific deal with product safety along with the avoidance of unintended consequences including bias in AI-driven final decision-making.
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We intention to bridge the gap among theory-driven cognitive science and functional AI applications, fostering a multidisciplinary dialogue within the purpose of ToM in AI.
Organic brokers, like people, usually make decisions based upon a mixture of biological, social, and cognitive motivations, as elucidated by theories like Maslow’s Hierarchy of Requirements and Alderfer’s Existence-Relatedness-Expansion (ERG) principle. However, the AI agent is often considered a self-Arranging process that also provides numerous requirements and motivations in its evolution through selection-making and Studying to adapt to different scenarios and satisfy their desires.
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