Publications

NSF CyberTraining Project 

 Modular experiential learning for secure, safe, and reliable AI (MELSSRAI)

Selected Publications

I. Learning & Teaching papers

• Fong ACM, Gupta A, Carr S, and Bhattacharjee S, Work in progress: Experiential learning modules for promoting AI trustworthiness in STEM disciplines, IEEE World Engineering Education Conference (Edunine 2022), pp. 1-4, virtual and multisite (Madrid, Spain and Santos, Brazil), March 2022, doi:10.1109/EDUNINE53672.2022.9782319.

• Fong ACM, Gupta A, Carr S, and Bhattacharjee S, Promoting AI trustworthiness through experiential learning (work-in-progress), ASEE Annual Conference & Exposition (ASEE 2022), Computing & Information Technology Division, 7 pages, Paper ID #36570, Minneapolis, MN, USA, June 2022.

• Fong ACM, Gupta A, Carr S, and Bhattacharjee S, Case Study: Experiential learning activities that build trustworthiness in AI across multiple STEM disciplines, 6 pages, 6th Canadian International Conference on Advances in Education, Teaching, and Technology (EduTeach2022), pp. 104-109, Toronto, July 2022. https://imrjournal.info/proceedings/

• Fong ACM, Gupta A, Carr S, Bhattacharjee S, and Harnar M, Modular experiential learning for secure, safe, and reliable AI: Curricular initiative to promote education in trustworthy AI, 7 pages, 23rd ACM Annual Conference on Information Technology Education (SIGITE 2022), Chicago, IL, September 2022. DOI 10.1145/3537674.3554756. selected to appear in the Association for Computing Machinery (ACM) Showcase on Kudos. https://www.growkudos.com/publications/10.1145.

• Fong ACM, Gupta A, Carr S, and Harnar M, A balanced pedagogical approach toward AI readiness education for STEM learners, 6th International Conference on Education and E-Learning (ICEEL2022), ACM, 7 pages, Tsuru, Japan, November 2022.

II. Technical papers

• Saeedi S, Fong ACM, Mohanty SP, Gupta AK, and Carr S, Consumer artificial intelligence mishaps and mitigation strategies, IEEE Consumer Electronics Magazine, vol. 11/3, pp. 13-24, 1 May 2022, doi: 10.1109/MCE.2021.3075329.

• Saeedi S, Panahi A, Saeedi S, and Fong ACM, CS-NLP Team at SemEval-2020 Task 4: Evaluation of state-of-the-art NLP deep learning architectures on commonsense reasoning task, in proc. International Workshop on Semantic Evaluation (SemEval-2020), Barcelona, Spain, pp. 507-515, December 2020. http://alt.qcri.org/semeval2020/ https://aclanthology.org/2020.semeval-1.62/

• Saeedi S, Saeedi D, Panahi A, and Fong ACM, CS/NLP at SemEval-2022 Task 4: Effective data augmentation methods for patronizing language detection and multi-label classification with RoBERTa and GPT3, Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval 2022), pp.503–508, Seattle, USA, July 2022. https://aclanthology.org/volumes/2022.semeval-1/ https://aclanthology.org/2022.semeval-1.69

• Saeedi S, Fong ACM, Gupta A, and Carr S, Reusable toolkit for natural language processing in an ambient intelligence environment, IEEE Symposium Series On Computational Intelligence (SSCI 2022), pp. 429-435, Singapore, December 2022. DOI: 10.1109/SSCI51031.2022.10022225

Other Selected Publications by Team Members