“Deepfakes and Dishonesty”

被引:0
|
作者
Tobias Flattery [1 ]
Christian B. Miller [1 ]
机构
[1] Wake Forest University,Department of Philosophy
关键词
Deepfakes; Artificial Intelligence; AI; Generative AI; Machine learning; Technology ethics; Ethics; Honesty; Dishonesty; Deception;
D O I
10.1007/s13347-024-00812-1
中图分类号
学科分类号
摘要
Deepfakes raise various concerns: risks of political destabilization, depictions of persons without consent and causing them harms, erosion of trust in video and audio as reliable sources of evidence, and more. These concerns have been the focus of recent work in the philosophical literature on deepfakes. However, there has been almost no sustained philosophical analysis of deepfakes from the perspective of concerns about honesty and dishonesty. That deepfakes are potentially deceptive is unsurprising and has been noted. But under what conditions does the use of deepfakes fail to be honest? And which human agents, involved in one way or another in a deepfake, fail to be honest, and in what ways? If we are to understand better the morality of deepfakes, these questions need answering. Our first goal in this paper, therefore, is to offer an analysis of paradigmatic cases of deepfakes in light of the philosophy of honesty. While it is clear that many deepfakes are morally problematic, there has been a rising counter-chorus claiming that deepfakes are not essentially morally bad, since there might be uses of deepfakes that are not morally wrong, or even that are morally salutary, for instance, in education, entertainment, activism, and other areas. However, while there are reasons to think that deepfakes can supply or support moral goods, it is nevertheless possible that even these uses of deepfakes are dishonest. Our second goal in this paper, therefore, is to apply our analysis of deepfakes and honesty to the sorts of deepfakes hoped to be morally good or at least neutral. We conclude that, perhaps surprisingly, in many of these cases the use of deepfakes will be dishonest in some respects. Of course, there will be cases of deepfakes for which verdicts about honesty and moral permissibility do not line up. While we will sometimes suggest reasons why moral permissibility verdicts might diverge from honesty verdicts, we will not aim to settle matters of moral permissibility.
引用
收藏
相关论文
共 50 条
  • [1] Deepfakes
    Badola, Anand
    MEDIA INTERNATIONAL AUSTRALIA, 2025, 194 (01) : 166 - 167
  • [2] The Economics of Deepfakes
    Kshetri, Nir
    COMPUTER, 2023, 56 (08) : 89 - 94
  • [3] The tensions of deepfakes
    Jacobsen, Benjamin N.
    Simpson, Jill
    INFORMATION COMMUNICATION & SOCIETY, 2024, 27 (06) : 1095 - 1109
  • [4] ACADEMIC DISHONESTY AND WORKPLACE DISHONESTY. AN OVERVIEW
    Rujoiu, Octavian
    Rujoiu, Valentina
    PROCEEDINGS OF THE 8TH INTERNATIONAL MANAGEMENT CONFERENCE: MANAGEMENT CHALLENGES FOR SUSTAINABLE DEVELOPMENT, 2014, : 928 - 938
  • [5] Deepfakes: Trick or treat?
    Kietzmann, Jan
    Lee, Linda W.
    McCarthy, Ian P.
    Kietzmann, Tim C.
    BUSINESS HORIZONS, 2020, 63 (02) : 135 - 146
  • [6] Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications
    Gamage, Dilrukshi
    Ghasiya, Piyush
    Bonagiri, Vamshi Krishna
    Whiting, Mark E.
    Sasahara, Kazutoshi
    PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22), 2022,
  • [7] Deepfakes and trust in technology
    Oliver Laas
    Synthese, 202
  • [8] Deepfakes and the Epistemic Backstop
    Rini, Regina
    PHILOSOPHERS IMPRINT, 2020, 20 (24): : 1 - 16
  • [9] Forensic Symmetry for DeepFakes
    Li, Gen
    Zhao, Xianfeng
    Cao, Yun
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 18 : 1095 - 1110
  • [10] Deepfakes and the epistemic apocalypse
    Joshua Habgood-Coote
    Synthese, 201