Submissions really should be 4-seven web pages prolonged, excluding references, and follow AAAI 2025 template. Submissions are double-blind and author id really should not be disclosed into the reviewers. An optional appendix of arbitrary length is authorized and should be put at the conclusion of the paper (just after references).

In Computer system science AI research is defined because the review of "clever agents": any system that perceives its natural environment and takes actions that maximize its possibility of achievements at some intention. 

Trainers carried out a great job,they took the courses for two times,student did not come to feel any unpleasant, they even are eager to sit at school for couple far more several hours. Every one workshop felt value-total.

This workshop will deliver together researchers and practitioners to foster collaboration, share insights, and inspire new analysis directions within the accountable advancement and deployment of LLM technologies.

It can also be useful to deliver any pre-put in computer software or resources that the workshop may well use such as Jupyter Notebook, Python or specific equipment Understanding libraries like TensorFlow or PyTorch. 

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This workshop welcomes contributions toward generation and advancement of datasets and benchmarks utilized for analysis of basic safety of AI methods (in particular LLMs) in accordance with the characteristics mentioned previously mentioned. The do the job might be theoretical (new approaches to producing datasets or proving a dataset’s adequacy for that process) or sensible (suggesting new datasets, examining the validity of existing datasets, improving current datasets).

We invite submissions of prolonged abstracts (up to three webpages) presenting the most up-to-date and greatest investigation, case scientific tests, or place papers appropriate to the workshop matters. Submissions should really Keep to the AAAI formatting suggestions.

Critical themes from the workshop involve accountable AI tactics, safety protocols, and ethical criteria, with a particular give attention to design basic safety and also the avoidance of unintended consequences including bias in AI-driven final decision-building.

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We purpose to bridge the hole among principle-pushed cognitive science and practical AI applications, fostering a multidisciplinary dialogue about the purpose of ToM in AI. 

The immediate development of AI technology raises the likelihood of superintelligence emerging before long, most likely acting over and above human Manage. In this kind of earth, humanity have to look for coexistence with superintelligence.

These will be in-particular person only workshops in PAHB 337 (The Dance Dice). You may sign up for a person or the two workshops. This matters are especially relevant as we navigate new opportunities and worries arising for teaching and Mastering inside the period of generative AI. You should convey a tool to your workshops.

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