Yejin Kang

Graduate Research Assistant

About

Yejin is a Master’s student at UBC’s School of Public Policy and Global Affairs. She holds an undergraduate degree in Criminology from Simon Fraser University, where her research focused on deepfake pornography and AI policy. Her undergraduate work involved legal and comparative analysis of Canadian law alongside five other countries’ regulatory frameworks, evaluating their capacity to address emerging AI challenges, as well as an assessment of current AI and deepfake detection models to gauge their technical readiness for future policymaking. She also brings hands-on experience as a tech policy researcher at Goodbot, a non-profit organization, where she investigated a range of online harms and systemic gaps in AI and technology regulation, including copyright infringement in AI training, big tech lobbying, and ad tech and scam regulations.


Yejin Kang

Graduate Research Assistant

About

Yejin is a Master’s student at UBC’s School of Public Policy and Global Affairs. She holds an undergraduate degree in Criminology from Simon Fraser University, where her research focused on deepfake pornography and AI policy. Her undergraduate work involved legal and comparative analysis of Canadian law alongside five other countries’ regulatory frameworks, evaluating their capacity to address emerging AI challenges, as well as an assessment of current AI and deepfake detection models to gauge their technical readiness for future policymaking. She also brings hands-on experience as a tech policy researcher at Goodbot, a non-profit organization, where she investigated a range of online harms and systemic gaps in AI and technology regulation, including copyright infringement in AI training, big tech lobbying, and ad tech and scam regulations.


Yejin Kang

Graduate Research Assistant
About keyboard_arrow_down

Yejin is a Master’s student at UBC’s School of Public Policy and Global Affairs. She holds an undergraduate degree in Criminology from Simon Fraser University, where her research focused on deepfake pornography and AI policy. Her undergraduate work involved legal and comparative analysis of Canadian law alongside five other countries’ regulatory frameworks, evaluating their capacity to address emerging AI challenges, as well as an assessment of current AI and deepfake detection models to gauge their technical readiness for future policymaking. She also brings hands-on experience as a tech policy researcher at Goodbot, a non-profit organization, where she investigated a range of online harms and systemic gaps in AI and technology regulation, including copyright infringement in AI training, big tech lobbying, and ad tech and scam regulations.