Everything about ai workshops
AI may cause societal harm, encouraging radicalisation and promoting biased or skewed views. AI-produced fake, still remarkably practical articles could lessen general public trust in facts and government bodies.The two technical and operational submissions are encouraged round the matter parts. Complex subjects incorporate the science, engineering, and processes relevant to the event and deployment of AI for the uniquely elaborate programs and use-cases present in community company and government environments.
The workshop will likely explore the ethical implications of AI and its influence on Culture, delivering a holistic see of the field.
This a person-working day workshop will examine the dynamic intersection of artificial intelligence and songs. It is going to investigate how AI is reworking music creation, recognition, education and learning, moral and legal implications, together with company alternatives, from composition to performance, generation, collaboration, and audience practical experience. Members will gain insights in the technological troubles and achievements in songs And exactly how AI can enrich creative imagination, enabling musicians and producers to drive the boundaries in their art. We'll examine how AI equipment support in seem style and design, remixing, and mastering, making it possible for for new sonic options and efficiencies in music generation.
Our best target is to build a comprehensive method of this critical concern, contributing to humanity’s extended-phrase prosperity and welfare inside a submit-singularity planet.
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We invite everyone attending AAAI convention to hitch to the workshop. We think This really is an fascinating issue space exactly where promising systems of our generation can assist address most complicated complications of our society by accelerating scientific discovery and engineering ai workshops style.
All submissions have to follow the PMLR fashion template. Accepted comprehensive papers might be invited to submit posters spotlights and posters for the workshop along with an prolonged Variation, addressing the reviewer remarks, to PMLR () to be published as A part of the Workshop Proceedings.
As huge language products (LLMs) become much more sophisticated and pervasive, the potential risk of misinformation they create poses major troubles. This workshop aims to deal with the particular problems associated with misinformation made by LLMs, focusing on both equally avoidance and detection strategies.
The Synthetic Intelligence with Causal Systems (AICT) workshop aims to debate current improvements in causal methodology, such as novel causal discovery and causal inference procedures, in addition to approaches for downstream causal responsibilities like causal representation Understanding, causal reinforcement Mastering, causal fairness, and so on. We will likely discover how these improvements from the causal Neighborhood can lead to different subfields of AI including recommender programs, all-natural language processing, Laptop vision, etc.
By the top on the program, contributors can critically assess AI equipment and technologies, contemplating their trustworthiness, accuracy, and ethical implications, and make informed choices with regards to their adoption and use.
In parallel, we plan to possess a poster session all over the workshop day to facilitate conversations between members.