Artificial intelligence, deepfakes and a future of ectypes

Philosophy and Technology 31 (3):317-321 (2018)
  Copy   BIBTEX

Abstract

AI, especially in the case of Deepfakes, has the capacity to undermine our confidence in the original, genuine, authentic nature of what we see and hear. And yet digital technologies, in the form of databases and other detection tools also make it easier to spot forgeries and to establish the authenticity of a work. Using the notion of ectypes, this paper discusses current conceptions of authenticity and reproduction and examines how, in the future, these might be adapted for use in the digital sphere.

Similar books and articles

Ai: Its Nature and Future.Margaret A. Boden - 2016 - Oxford University Press UK.
Risks of artificial general intelligence.Vincent C. Müller (ed.) - 2014 - Taylor & Francis (JETAI).
Embodied artificial intelligence once again.Anna Sarosiek - 2017 - Philosophical Problems in Science 63:231-240.
Consciousness, intentionality, and intelligence: Some foundational issues for artificial intelligence.Murat Aydede & Guven Guzeldere - 2000 - Journal of Experimental and Theoretical Artificial Intelligence 12 (3):263-277.

Analytics

Added to PP
2018-08-01

Downloads
524 (#35,902)

6 months
174 (#17,912)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Luciano Floridi
Yale University

Citations of this work

The Epistemic Threat of Deepfakes.Don Fallis - 2020 - Philosophy and Technology 34 (4):623-643.
The Distinct Wrong of Deepfakes.Adrienne de Ruiter - 2021 - Philosophy and Technology 34 (4):1311-1332.

View all 12 citations / Add more citations

References found in this work

Digital’s cleaving power and its consequences.Luciano Floridi - 2017 - Philosophy and Technology 30 (2):123-129.
Understanding epistemic relevance.Luciano Floridi - 2008 - Erkenntnis 69 (1):69-92.

Add more references