Submissions ought to be 4-seven web pages extensive, excluding references, and observe AAAI 2025 template. Submissions are double-blind and author identity really should not be revealed on the reviewers. An optional appendix of arbitrary length is allowed and will be set at the conclusion of the paper (right after references).
Code for The united states’s AI Studio is a new initiative centered on making ready governing administration for working with new systems in human-centered ways.
All accepted papers will be offered at the workshop in-human being as posters and posted on this Web page . A minimum of one writer of each and every recognized paper should show up at the AAAI workshop in-human being to present their perform and show up at the Q&A session.
Prolonged Abstracts: Place or quick description of Original get the job done (one site, excluding references and appendices) or the discharge of privateness-preserving benchmarks and datasets around the subject areas of curiosity.
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The Innovation & Accountability in AI-supported Training (iRAISE) workshop builds on very last 12 months’s success from the AI for Education and learning: Bridging Innovation and Responsibility workshop. It can examine the prospects and difficulties of using generative AI technologies (GenAI) in instruction, fostering an comprehension of GenAI’s role in shaping the way forward for schooling and discussing the similar ethical implications of dependable AI (RAI). Recognizing GenAI’s worries, like written content hallucination, advanced reasoning, bias, and privacy fears, the occasion targets an interdisciplinary discussion of these issues for that accountable implementation of those versions in schooling.
On top of that, we’ll study AI’s influence on audio instruction plus the Professions of musicians, exploring State-of-the-art learning instruments and instructing approaches. AI systems are more and more adopted while in the songs and enjoyment market. The workshop will likely focus on the lawful and moral implications, like queries of authorship, originality, as well as the evolving role of human artists within an more and more automated globe. This workshop is designed for AI researchers, musicians, producers, and educators considering the current position and future of AI in tunes.
The 2025 Homeland Protections Systems Workshop (HPTW) at MIT Lincoln Laboratory will concentrate on applied investigation and know-how growth For additional resilient and protected U.S. essential infrastructure. Subject areas suitable to your wide viewers incorporate the modernization on the U.S. electric powered grid, operational engineering cybersecurity, and also the interdependencies that exist among sectors of critical infrastructure.
We invite the participation of researchers who have an interest in right addressing Principle of Intellect in AI. We can also be expecting submissions to ToM4AI and similar subjects applicable to planning, developing, demonstrating, or evaluating ToM-centered AI brokers.
This workshop aims to encourage dialogue and collaboration between scientists inside the fields of AI setting up and reinforcement Discovering. We purpose to bridge the gap in between the two communities, facilitate the dialogue of discrepancies and similarities in existing techniques, and inspire collaboration over the fields.
The fast progression of AI technological innovation boosts the chance of superintelligence emerging before long, probably performing beyond human Command. In this type of environment, humanity will have to seek out coexistence with superintelligence.
DeepLearning.AI's GenAI training course is taught by teacher Andrew Ng, and is more of the in-depth introduction to artificial intelligence. Taking only 5 hours to complete in accordance with the Web page, the program addresses understanding of AI job lifecycles, dialogue of GenAI application and workflows, here and perhaps most importantly, the way to use this engineering responsibly and ethically.
Circuit representations for reputable and economical probabilistic reasoning and Studying with purposes to belief- worthy ML including dependable neuro-symbolic AI;