Untangling Critical Interaction with AI in Students Written Assessment

no code implementations • 10 Apr 2024 • Antonette Shibani, Simon Knight, Kirsty Kitto, Ajanie Karunanayake, Simon Buckingham Shum

Artificial Intelligence (AI) has become a ubiquitous part of society, but a key challenge exists in ensuring that humans are equipped with the required critical thinking and AI literacy skills to interact with machines effectively by understanding their capabilities and limitations.

A Design Space for Intelligent and Interactive Writing Assistants

no code implementations • 21 Mar 2024 • Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Shannon Zejiang Shen, Pao Siangliulue

In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities.

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Predicting Clinical Intent from Free Text Electronic Health Records

no code implementations • 25 Mar 2022 • Kawsar Noor, Katherine Smith, Julia Bennett, Jade OConnell, Jessica Fisk, Monika Hunt, Gary Philippo, Teresa Xu, Simon Knight, Luis Romao, Richard JB Dobson, Wai Keong Wong

In this paper we train a machine learning model to detect a clinician's intent to follow up with a patient from the patient's clinical notes.

Management