Edward B. Kang
Media, Culture, and Communication
New York University
About Professor Edward B. Kang
Edward B. Kang is an Assistant Professor in the esteemed Department of Media, Culture, and Communication at New York University, a leading institution renowned for its innovative contributions to the fields of media and communication studies. NYU's Media, Culture, and Communication department is recognized for its interdisciplinary approach, fostering an academic environment that encourages critical inquiry and collaboration. The department's strengths lie in its robust research initiatives, which explore the intersections of technology, culture, and society, making it a vibrant hub for scholars and students alike who are passionate about understanding the complexities of contemporary media landscapes.
🧬Research Focus
Professor Kang's research focuses on the social, cultural, and epistemic dimensions of artificial intelligence, particularly within the realms of voice AI, machine listening, and the ethics of AI. His work investigates how technologies shape our understanding of human emotion, perception, and intelligence, paving the way for potential breakthroughs in science and technology studies and media studies. By examining the politics of data-driven representations, his research holds significant implications for the ethical deployment of AI in society. Through projects like the National Endowment for the Humanities-funded initiative on Machine Listening, Professor Kang engages with pressing questions about the implications of AI technologies on human experiences and societal norms, ultimately contributing to a deeper understanding of sound studies and the future of media.
🎓Student Fit & Career
Graduate students who thrive under Professor Kang's mentorship are typically those with a strong interest in interdisciplinary research and a background in communication, technology studies, or ethics. Ideal candidates possess critical thinking skills and a passion for exploring the ethical dimensions of emerging technologies. Students engaged in this dynamic research area can pursue diverse career paths, including academia, policy analysis, and roles in technology development, allowing them to impact the evolving landscape of AI and media. Professor Kang’s academic mentorship offers invaluable guidance for those eager to contribute to the discourse on technology and society.
Research Areas
Rating Breakdown
Reviews (1)
Interaction was through a seminar series and a collaborative paper. Feedback often highlighted critical perspectives on AI and media infrastructures; supervision for research contributions was collegial. Communication was thoughtful and well-referenced. Suited to students who value theory-driven critiques of machine learning in cultural contexts.
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