Kowe A. Kadoma

Hi, I’m Kowe (co-weh)! I am a third year PhD student at Cornell Tech in Information Science. My research centers around users and developers. In the Social Technologies Lab, I develop evaluation frameworks and design interventions to support users in AI-mediated communication (AI-MC). I also explore how developers create fair algorithms and incorporate ethical principles into their work. I use mixed methods approaches and draw from computer science, sociolinguistics, ethics, and law in my work. My work has been supported by The National GEM Consortium and Cornell’s Digital Life Initiative. I am also an active member in the AI Policy and Practice group and CTRL-ALT group.

Previously, I received a B.S., summa cum laude, in Computer Engineering from Florida A&M University. As an undergrad, I had a myriad of research experiences from biomedical engineering to ethics. I have worked on several patent matters at law firms and in-house.

news

Dec 1, 2023	Attended Women in AI Ethics Summit
Nov 13, 2023	Launched Practical Steps for Building Fair Algorithms course
Sep 26, 2023	Attended Grace Hopper Celebration (virtually)

working papers

The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication

Kowe Kadoma, Marianne Aubin Aubin Le Quere, Jenny Fu, and 3 more authors

2023

arXiv Bib

@misc{kadoma2023role,
  title = {The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication},
  author = {Kadoma, Kowe and Aubin Le Quere, Marianne Aubin and Fu, Jenny and Munsch, Christin and Metaxa, Danae and Naaman, Mor},
  archiveprefix = {arXiv},
  year = {2023},
  copyright = {Creative Commons Attribution 4.0 International}
}

Estimating Exposure to Information on Social Networks

Buddhika Nettasinghe, Kowe Kadoma, Mor Naaman, and 1 more author

2022

arXiv Bib

  doi = {10.48550/ARXIV.2207.05980},
  author = {Nettasinghe, Buddhika and Kadoma, Kowe and Naaman, Mor and Krishnamurthy, Vikram},
  keywords = {Social and Information Networks (cs.SI), Information Retrieval (cs.IR), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Estimating Exposure to Information on Social Networks},
  publisher = {arXiv},
  year = {2022},
  copyright = {Creative Commons Attribution 4.0 International}
}