Academic Portfolio
Maryna Nekrasova
About
I am a PhD student in the Philosophy Department at McGill University. My academic interests encompass the philosophy of artificial intelligence with a focus on epistemology, social epistemology, and the philosophy of mind.
I hold the Richard H. Tomlinson Fellowship (which is McGill's most prestigious internal doctoral scholarship), the Philosophy, Technology, and Policy Lab Graduate Fellowship, and the Social Sciences and Humanities Research Council Doctoral Fellowship. I am also a Graduate Fellow with the Interuniversity Research Group on Normativity (GRIN).
Before coming to McGill, I completed my B.Hum. degree at Carleton University, graduating with the Chancellor's Medal (the top university medal awarded to an undergraduate student by Carleton University), and was named the Peter J. Ricketts Outstanding Provost Scholar in 2023.
Maryna Nekrasova is a PhD student and Tomlinson Scholar in the Philosophy department at McGill University. Her academic interests encompass the philosophy of artificial intelligence, ethics of technology, and epistemology. Maryna's primary research investigates how cultural factors shape individuals' perceptions and interactions with artificial intelligence systems. By exploring these beliefs and perceptions, her work aims to clarify the reasons behind our fears, misconceptions, and ethical judgments regarding AI.
Research
I am currently working on 1) developing a new causal theory of knowledge, 2) creating an epistemic framework, the conditions of which AI must meet in order to be considered an epistemic agent.
My former research focused on the operationalization of health justice for machine learning tools in the field of mental health. I was involved in a nation-wide study conducted by the Center for Addiction and Mental Health (CAMH) in Toronto, which was working on the development of a mental health platform for youth seeking professional services across the country. My role in this project involved, but was not limited to, being part of the Data Governance Working Group and assessing the ethical implications of incorporating machine learning algorithms into the developing platform.
