The many attendees will engage in collaborative classes that spotlight AI-driven options for sophisticated societal troubles, scenario scientific tests from ongoing assignments and discussions on liable and moral AI in the general public domain.
Two sorts of papers are welcomed: Research papers (as many as four internet pages in AAAI structure, excluding references). Papers presently acknowledged at top ML and AI conferences in the last year.
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Worries concerning the basic safety of AI emerge within the potential harmful works by using or outcomes of AI outputs, which may result from inaccuracies, irresponsibility, or inappropriate programs. As AI gets to be significantly built-in into critical techniques and each day pursuits, addressing AI basic safety troubles is critical.
We foresee an viewers of around 300 contributors, which include researchers and marketplace Associates serious about AI4Research. An important problem During this interdisciplinary subject is usually that AI developers and researchers in other disciplines normally do the job on their own troubles.
This workshop highlights these interdisciplinary and interrelated factors that affect the real-entire world deployability of an AI design, and its liable utilization in the societally valuable manner.
It will probably be structured into sessions aligned with distinct analysis themes. Each individual session will open having a featured invited speak, with the rest specializing in shows by authors of acknowledged papers.
The immediate breakthroughs in Artificial Intelligence (AI) deliver unparalleled prospects and worries. As corporations and governments significantly combine AI systems into several facets of Modern society, the necessity for effective AI governance will become paramount.
AI governance can be a essential discipline with two unique communities: policymakers crafting rules and scientists/developers focusing on the systems. The workshop aims to carry these communities collectively to foster collaboration and improve understanding. The workshop aims to teach a broader Local community about the intricacies of AI governance.
We also welcome contributions that use existing benchmarks to show security or AI systems or locate unsafe behaviors.
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Recognized papers will likely be offered at the workshop and A part of a workshop proceeding, Until opted out because of the authors.
We anticipate your contributions also to an engaging discussion on the way forward for AI in Health care!
Submission prerequisites differ for each workshop. Submissions are a result of the organizers on November 22, 2024 (remember to Check out unique workshop Internet websites for extensions). Remember to post your papers for overview directly to the person workshop In accordance with their Instructions. Will not mail submissions to AAAI.