Deepfakes

This module explores deepfakes, a type of synthetic media generated by AI that can create realistic images, audio, and video of events that never occurred. It covers the technology behind deepfakes, their potential impacts on misinformation, media integrity, and privacy, as well as detection techniques and legal implications.

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de Ruiter, Adrienne. “The Distinct Wrong of Deepfakes.” Philosophy & Technology 34, no. 4 (2021): 1311–32. doi:10.1007/s13347-021-00459-2.

Rini, Regina, and Leah Cohen. “Deepfakes, Deep Harms.” Journal of Ethics & Social Philosophy 22, no. 2 (2022): 143-. doi:10.26556/jesp.v22i2.1628.

Mehhma Malhi, Mehhma. “To see no longer means to believe: The Harms and Benefits of Deepfakes,” ethics.org.au, 2022. https://ethics.org.au/to-see-no-longer-means-to-believe-the-harms-and-benefits-of-deepfake/

Franks, Mary Anne and Ari Ezra Waldman. “Sex, Lies, and Videotape: Deep Fakes and Free Speech Delusions,” 78 Md. L. Rev. 892 (2019).

Silbey, J., & Hartzog, W. “The Upside of Deep Fakes.” Maryland Law Review, 2018, 78(4), 960-966.

Stevens, N. and O Keyes. “Seeing infrastructure: race, facial recognition and the politics of data.” Cultural Studies, 2021, 35(4-5), 833-853. doi:10.1080/09502386.2021.1895252