The Innovation & Duty in AI-supported Education (iRAISE) workshop builds on past calendar year’s achievement from the AI for Training: Bridging Innovation and Accountability workshop. It will examine the chances and issues of utilizing generative AI systems (GenAI) in training, fostering an knowledge of GenAI’s function in shaping the future of instruction and speaking about the relevant moral implications of dependable AI (RAI). Recognizing GenAI’s difficulties, like articles hallucination, advanced reasoning, bias, and privateness considerations, the function targets an interdisciplinary dialogue of those concerns for that accountable implementation of those models in training.
The intention of this workshop is to deliver a System for scientists and AI practitioners from equally academia and marketplace to debate likely investigation directions, important technical issues, and present remedies to deal with related challenges in sensible purposes. The workshop will focus on both the theoretical and practical areas of time sequence information Assessment and aims to bring about analysis improvements in theories, algorithms, and applications.
We invite submissions around the theoretical foundations, algorithmic approaches, and useful tactics to ensure the responsible deployment of AI models. The subjects of interest involve, but aren't restricted to, the next:
In combination with the next study themes, we persuade novel contributions from researchers that bring distinctive perspectives to the Main emphasis of the workshop:
The workshop aims at proposing new ethnographic methodological and conceptual resources to Imagine and imagine the “healthcare facility click here of the long run” in Africa, specifically, the best way artificial intelligence (AI) seeks to rework and is also at present transforming use of wellness treatment in hospitals currently and in the approaching yrs.
We invite substantial-high-quality paper submissions of the theoretical and experimental mother nature on generative AI matters together with, but not restricted to, the following:
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Our 50 %-working day workshop will include things like keynote/invited talks, contributed paper shows, plus a poster session. We intention to support an audience of around fifty attendees.
Evaluation: We may also acknowledge new analysis solutions or metrics to evaluate the performance of AI approaches for various phases of data-grounded autonomous scientific analysis, together with scientific speculation technology, automatic critique era, etcetera.
We settle for both equally small papers (as much as 4 web pages) centered on emerging Concepts or preliminary effects and prolonged papers (as much as 7 web pages) offering in-depth contributions relevant to the workshop themes.
All AAAI attendees who are interested from the intersection of machine Finding out and autonomous driving are welcome.
Amongst the important queries we would like to talk to are the subsequent: What varieties of hospitals will we'd like, and what's going to they appear to be? How are representations with the medical center of the long run transcribed in a variety of places in Africa?
All attendees have to register for your workshop. Make sure you Test more particulars about AAAI 2025 workshop registration: .