An Unbiased View of ai workshops
An Unbiased View of ai workshops
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AI can cause societal harm, encouraging radicalisation and advertising biased or skewed views. AI-created pretend, nonetheless hugely reasonable content could minimize general public have confidence in in information and facts and govt bodies.
Huge Language Versions (LLMs) certainly are a disruptive power, shifting how exploration was accomplished in lots of sub-regions of AI. Setting up is probably the previous bastions that continue to be standing. The focus of the workshop is within the concerns within the intersection of such regions.
How can we be certain that these designs are transparent, moral, and comply with regulatory criteria? What strategies can mitigate inherent biases and Make trust with both equally clinicians and individuals?
Your challenge: You will be main AI initiatives but need steering on how to mentor and handle your team to productively apply and scale AI.
The survey paper track is geared toward grounding expertise in AI Brokers. Acknowledged survey papers might be consolidated through the academic-research field coalition of AI Brokers researchers for a joint study paper submission to JMLR. Even more particulars and workshop observe bulletins is going to be accessible at .
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Together with the following analysis themes, we inspire novel contributions from scientists that bring unique Views on the core aim with the workshop:
Integrating AI into your Business can be complicated, but AIUK’s workshops tackle these troubles immediately, providing practical know-how and applications for productive implementation.
The kickoff AI Workshop, Discovering AI Trustworthiness, took place on August 6, 2020. A report within the discussions is because of out shortly. A recording with the workshop are available to the party web site.
All submissions need to Keep to here the PMLR model template. Acknowledged full papers might be invited to post posters spotlights and posters at the workshop along with an extended version, addressing the reviewer remarks, to PMLR () being published as A part of the Workshop Proceedings.
Also, the workshop will deal with the important function of AI in safeguarding social websites platforms from manipulation and misinformation, and its purposes in criminal offense avoidance and public protection.
Submissions can incorporate suitable perform in all attainable phases, which include get the job done that was not long ago revealed, is below submission in other places, was only not too long ago finished, or remains ongoing. Authors of papers released or beneath submission somewhere else are encouraged to submit the initial papers or shorter versions (including abstracts) to coach other researchers regarding their function, so long as resubmissions are clearly labelled in order to avoid copyright violations.
By the end on the class, individuals should be able to critically assess AI tools and systems, taking into consideration their reliability, precision, and moral implications, and make informed decisions with regards to their adoption and use.
We invite papers that focus on many components of mitigating misinformation produced by LLMs. Topics of curiosity contain (but aren't restricted to):