The workshop aims at proposing new ethnographic methodological and conceptual instruments to Believe And picture the “medical center of the longer term” in Africa, in particular, just how artificial intelligence (AI) seeks to transform which is at the moment transforming usage of wellbeing treatment in hospitals today As well as in the approaching decades.

This workshop welcomes contributions toward creation and enhancement of datasets and benchmarks used for analysis of protection of AI systems (specifically LLMs) in accordance with the features detailed previously mentioned. The perform could be theoretical (new methods to making datasets or proving a dataset’s adequacy to the process) or practical (suggesting new datasets, examining the validity of existing datasets, enhancing existing datasets).

Before attending the workshop a person needs to Examine the workshop’s agenda and conditions to ascertain if it fits their encounter stage or not.

The initial line of inquiry will problem the logic of adoption and Africa as an area where by development policies are implemented, where by infrastructure tasks are designed, through which technological innovation, mostly coming with the West, is introduced given that the guarantee of better well being for the people in want.

The workshop anticipates 30 contributors, together with educational researchers and field professionals. There aren't any distinct attendance criteria outside of the final AAAI registration needs. The utmost range of attendees will probably be based on the home ability. Other AAAI attendees who have an interest may also show up at following AAAI’s similar plan. 

The principle aim of this workshop is to press this re- lookup direction forward by: (one) hosting a collection of talks on this topic.

This workshop aims to motivate discussion and collaboration in between researchers while in the fields of AI organizing and reinforcement Discovering. We intention to bridge the hole in between The 2 communities, facilitate the dialogue of distinctions and similarities in present methods, and encourage collaboration over the fields.

The Cyber Engineering for National Safety (CTNS) Workshop is actually a Discussion board for presentation and dialogue of the most recent study, prototyping, assessment, and operational makes use of of cyber technological know-how inside the interest of national stability with a center on army and national mission programs.

AI governance can be a critical subject with two unique communities: policymakers crafting more info regulations and researchers/builders working on the technologies. The workshop aims to convey these communities jointly to foster collaboration and enhance understanding. The workshop aims to educate a broader Neighborhood regarding the intricacies of AI governance.

The aim of the workshop would be to catalyze a global effort and hard work to fill this hole by developing a Translational Institute for Expertise Axiomatization (TIKA). TIKA is envisioned to serve as a hub for investigation, training, training, and web hosting of repositories of open up-resource know-how determined by open up information sources. The institute would target “use-impressed” research, addressing pragmatic challenges in translating advances in expertise graphs and reasoning to observe. 

 is for making attributes computable from visuals by grounding AI products in present scientific know-how. The objective of the workshop is usually to nurture the Local community of scientists working in the intersection of AI and biology and shape the eyesight in the nascent however quickly developing industry of 

Operational matters tackle the business enterprise use conditions, workflows and applications of likely community assistance things to do for which AI might need a transformational impression.   

Submissions into the Exclusive track might be possibly complete or shorter papers, and we request authors to choose the Specific observe possibility all through submission.

The workshop aims to collect together and make a community of researchers, catastrophe responders, and plan-makers keen on creating and applying AI and simulation approaches for natural disaster management.