Human enhancement: Procedures for human adaptation and value redefinition to coexist with superintelligence
Causality aims to describe the theory that sure functions induce specific results, supporting us realize, forecast, and demonstrate adjustments on this planet. Not long ago, the connection among causality and AI has grown to be progressively critical, where AI can take advantage of causal reasoning to create extra strong, interpretable, and generalizable versions.
We invite submissions on do the job in development and mature study, such as “spotlight” papers summarizing recent outcomes from numerous papers because of the authors. Desire will probably be given to new and ongoing get the job done about exact resubmissions of Formerly revealed function.
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We largely Adhere to the CIKM guidelines for paper submission except for an individual-blind peer critique. All essential suggestions are as follows:
Every single show will showcase a distinct know-how or functionality, with Lincoln Laboratory professionals available to focus on potential applications and collaborative investigation opportunities. Registration is necessary, and attendance is limited to U.S. citizens and permanent residents.
The seminar options an outline from the Laboratory's courses, complex talks by Laboratory team, and tours that showcase technology initiatives through the entire Laboratory.
The contributions will likely be non-archival and only will be hosted on our workshop Web page. There will be the oral presentation awards and just one most effective paper award for accepted papers with outstanding excellent.
This workshop encourages submissions of progressive remedies for any wide selection of time collection Evaluation issues. Topics of desire consist of but will not be limited to the next:
Code and various supplementary supplies can optionally be submitted; if utilizing GitHub, you should be certain that the repository is anonymous and it has no info, together with commit messages, that may split anonymity.
AI workshops in 2025 promise to cater to a large viewers, and these workshops are hosted by a number of the most impressive businesses and institutions.
On the other hand, Additionally, there are introductory courses specifically built for newbies with no complex track record. These courses center on AI principles and apps just before diving into technological implementation.
How can we make sure these models are transparent, moral, and artificial intelligence workshop comply with regulatory requirements? What procedures can mitigate inherent biases and Construct rely on with the two clinicians and people?
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