Min Kyung Lee
Papers
1
Total Citations
4
H-Index
1
About
Min Kyung Lee is a researcher whose work sits at the intersection of human-computer interaction, algorithmic systems, and the future of work. Her scholarship critically examines how artificial intelligence and algorithmic decision-making shape human experiences in workplace and social contexts, with a particular focus on questions of fairness, trust, and worker autonomy. In her notable 2016 paper, "Algorithmic Bosses, Robotic Colleagues: Toward Human-Centered Algorithmic Workplaces," Lee advances a vision for AI-driven work environments that prioritize not merely efficiency, but deeper human values such as meaning, continuous learning, and equitable treatment. This work challenges technologists and organizations to move beyond optimization metrics and instead design algorithmic systems that genuinely serve the people who interact with them daily. With 4 citations, this contribution has begun drawing scholarly attention to a conversation that grows increasingly urgent as automation reshapes labor markets worldwide. Lee's research positions her as a thoughtful advocate for human-centered design principles, encouraging both industry practitioners and fellow academics to hold algorithmic systems accountable to the lived experiences and dignity of workers navigating an increasingly automated professional landscape.
Research Focus
Key Achievements
Top Papers
- 1