Ariful Islam Anik
anikmai [at] myumanitoba.ca
I am a graduate student doing my PhD in Computer Science at the University of Manitoba. I completed my MSc in the same department in Fall 2020. My research interests are in the areas of human-computer interaction and human-centered AI. I am interested to work with explainable AI systems, designing and personalizing explanations, and study the factors that impact people’s perception of and interaction with AI explanations.
I was born in Bangladesh and I moved to Canada for my MSc in Fall 2018. I completed my BSc in Computer Science and Engineering in 2016 at the Islamic University of Technology, Gazipur, Dhaka, Bangladesh. I also worked in the same institution as an Assistant Programmer till Fall 2018.
I love to listen to a lot of music, and I am an avid soccer fan!
Ariful Islam Anik and Andrea Bunt. 2023. Understanding and Mitigating the Negative Consequences of Training Dataset Explanations. In Proceedings of the ACM CHI 2023 Workshop on Human-centered Explainable AI (HCXAI), April 23–28, 2023, Hamburg, Germany.
Ariful Islam Anik and Andrea Bunt. 2021. Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency. In CHI Conference on Human Factors in Computing Systems (CHI’21), May 08–13, 2021, Yokohama, Japan. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3411764.3445736
Ariful Islam Anik and Andrea Bunt. 2021. Investigating Explanations that Target Training Data. In Proceedings of the ACM IUI workshop on Transparency and Explanations in Smart Systems (TExSS). Texas, USA, 7 pages.
Ariful Islam Anik. Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency. MSc Thesis (2020). University of Manitoba, Canada.