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This workshop highlights these interdisciplinary and interrelated factors that influence the true-entire world deployability of an AI design, and its accountable utilization within a societally practical method.
Made for aspiring and proven leaders in almost any marketplace, HBAP equips contributors Together with the device Finding out and knowledge Evaluation tools they require to include innovative tech into their enterprise method, at the top amounts of their Group.
Submissions to the Specific track might be both whole or small papers, and we ask authors to pick the Specific monitor selection during submission.
Impact analysis. Investigation evaluating the influence of AI for training interventions on learning, educational, and career results;
All attendees really need to sign up with the workshop. Please Look at much more particulars about AAAI 2025 workshop registration: .
Submissions need to be 4-7 webpages lengthy, excluding references, and observe AAAI 2025 template. Submissions are double-blind and creator identity shouldn't be revealed for the reviewers. An optional appendix of arbitrary size is allowed and will be place at the conclusion of the paper (after references).
Get the chance to see TinyML in follow. You will note examples of TinyML programs, and discover to start with-hand how to teach these products for tiny purposes like key word recognizing, Visible wake words and phrases, and gesture recognition.
The approved papers will be publicly accessible on OpenReview, although the workshop is non-archival and doesn't have formal proceedings.
Papers should be anonymized; examining is double-blind. The necessities are analogous to AAAI prerequisites, i.e., seven internet pages of complex articles furthermore more web pages exclusively for references; acknowledgements ought to be omitted from papers submitted for evaluation.
Authors have to have an OpenReview account to generate submissions. Be sure to adhere into the submission tips outlined about the workshop Internet site.
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Workshop contributors will symbolize industry experts and students from marketplace and academia. Invited talks and accepted papers will go over matters about liable AI through the educational ecosystem. The workshop aims to connect men and women from unique Experienced contexts to share knowledge and inspire discussions that help new investigate and implementations regarding how to build sustainable, moral liable AI procedures for schooling.
Alternative: The AI Acceleration workshops equip you While using the strategies to increase AI’s influence across departments, making certain sustainable progress when addressing technological and operational problems.