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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.

Δημιουργός προγράμματος σπουδών

Χρειάζεστε βοήθεια; Κάντε κλικ εδώ για οδηγίες.

Stevens, Nikki, and Os Keyes. “Seeing Infrastructure: Race, Facial Recognition and the Politics of Data.” Cultural Studies 35, no. 4–5 (September 3, 2021): 833–53.

https://doi.org/10.1080/09502386.2021.1895252

Silbey, Jessica, and Woodrow Hartzog. “The Upside of Deep Fakes.” Maryland Law Review 78, no. 4 (2019).

https://digitalcommons.law.umaryland.edu/cgi/viewcontent.cgi?article=3837&context=mlr

Franks, Mary Anne, and Ari Ezra Waldman. “Sex, Lies, and Videotape: Deep Fakes and Free Speech Delusions.” Maryland Law Review 78, no. 4 (2019).

https://digitalcommons.law.umaryland.edu/cgi/viewcontent.cgi?article=3835&context=mlr

Malhi, Mehhma. “To See No Longer Means to Believe: The Harms and Benefits of Deepfake.” THE ETHICS CENTRE (blog), February 18, 2022.

https://ethics.org.au/to-see-no-longer-means-to-believe-the-harms-and-benefits-of-deepfake/

Rini, Regina, and Leah Cohen. “Deepfakes, Deep Harms.” Journal of Ethics and Social Philosophy 22, no. 2 (July 26, 2022).

https://doi.org/10.26556/jesp.v22i2.1628

De Ruiter, Adrienne. “The Distinct Wrong of Deepfakes.” Philosophy & Technology 34, no. 4 (December 2021): 1311–32.

https://doi.org/10.1007/s13347-021-00459-2