Bateman, J. Deepfakes and synthetic media in the financial system: Assessing threat scenarios, cyber policy initiative working paper series. Carnegie Endowment for International Peace, July 2020; https://bit.ly/3sN2DYM

Google Scholar

[4]

Brey, P. Anticipatory ethics for emerging technologies. NanoEthics 6, 1 (2012), 1--13.

Crossref

Google Scholar

[5]

Chesney, R. and Citron, D.K. Deep fakes: A looming challenge for privacy, democracy, and national security. California Law Review 107. (2019)

Google Scholar

[6]

Cole, S. Creator of DeepNude, app that undresses photos of women, takes it offline. Motherboard (June 27, 2019); https://bit.ly/393MMgy

Google Scholar

[7]

Diakopoulos, N. and Johnson, D. Anticipating and addressing the ethical implications of deepfakes in the context of elections. New Media & Society (2019).

Crossref

Google Scholar

[8]

Dolhansky, B. et al. The DeepFake Detection Challenge Dataset (2020); https://bit.ly/3sNMGRN

Google Scholar

[9]

Gehrmann, S., Strobelt, H., and Rush, A.M. GLTR: Statistical Detection and Visualization of Generated Text. (2019).

Google Scholar

[10]

Groh, M. et al. Human detection of machine manipulated media. (2019); https://bit.ly/3p6L1ot

Google Scholar

[11]

Harris, D. Deepfakes: False pornography is here and the law cannot protect you. Duke L. & Tech. Rev. 17 (2013), 99.

Google Scholar

[12]

Leibowicz, C., Stray, J., and Saltz, E. Manipulated Media Detection Requires More Than Tools: Community Insights on What's Needed. July, 2020; https://bit.ly/3iCsUV2

Google Scholar

[13]

Levy, S. Battle of the Clipper chip. New York Times Magazine 44, (1994).

Google Scholar

[14]

Parnas D.L. SDI: A violation of professional responsibility. In Weiss, E.A., Ed. A Computer Science Reader. Springer, New York, NY, 1988.

Crossref

Google Scholar

[15]

Partnership on AI. A Report on the Deepfake Detection Challenge. (2020); https://bit.ly/39STDZo

Google Scholar

[16]

Rössler, A. et al. FaceForensics++: Learning to Detect Manipulated Facial Images. In Proceedings of IEEE International Conference on Computer Vision (ICCV) (2019).

Google Scholar

[17]

Sohrawardi S.J. DeFaking Deepfakes: Understanding journalists' needs for deepfake detection. In Proceedings of the Computation + Journalism Symposium. (2020).

Google Scholar

[18]

Schweber, S. In the Shadow of the Bomb: Bethe, Oppenheimer, and the Moral Responsibility of the Scientist 39. Princeton University Press, 2000.

Google Scholar

[19]

Tsukayama, H. McKinney, I., and Williams, J. Congress should not rush to regulate deepfakes. Electronic Frontier Foundation (June 24, 2019); https://bit.ly/396rW03

Google Scholar

[20]

Vaccari, C. and Chadwick, A. Deepfakes and disinformation: Exploring the impact of synthetic political video on deception, uncertainty, and trust in news. Social Media + Society 6, 1 (2020).

Google Scholar

Cited By

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Kaur USiddhey P(2024)Deepfake Prospects, Mitigating Factors, and DeceptionsDeepfakes and Their Impact on Business10.4018/979-8-3693-6890-9.ch009(197-220)Online publication date: 13-Dec-2024
https://doi.org/10.4018/979-8-3693-6890-9.ch009
Caci BGiordano GAlesi MGentile AAgnello CLo Presti LLa Cascia MIngoglia SInguglia CVolpes AMonzani D(2024)The public mental representations of deepfake technology: An in-depth qualitative exploration through Quora text data analysisPLOS ONE10.1371/journal.pone.031360519:12(e0313605)Online publication date: 30-Dec-2024
https://doi.org/10.1371/journal.pone.0313605
Maras MLogie K(2024)Countering the complex, multifaceted nature of nude and sexually explicit deepfakes: an Augean task?Crime Science10.1186/s40163-024-00226-613:1Online publication date: 18-Oct-2024
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What to do about deepfakes

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Communications of the ACM Volume 64, Issue 3

March 2021

115 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/3452024

Editor:
Andrew A. Chien
Association for Computing Machinery, New York, NY

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Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Kaur USiddhey P(2024)Deepfake Prospects, Mitigating Factors, and DeceptionsDeepfakes and Their Impact on Business10.4018/979-8-3693-6890-9.ch009(197-220)Online publication date: 13-Dec-2024
https://doi.org/10.4018/979-8-3693-6890-9.ch009
Caci BGiordano GAlesi MGentile AAgnello CLo Presti LLa Cascia MIngoglia SInguglia CVolpes AMonzani D(2024)The public mental representations of deepfake technology: An in-depth qualitative exploration through Quora text data analysisPLOS ONE10.1371/journal.pone.031360519:12(e0313605)Online publication date: 30-Dec-2024
https://doi.org/10.1371/journal.pone.0313605
Maras MLogie K(2024)Countering the complex, multifaceted nature of nude and sexually explicit deepfakes: an Augean task?Crime Science10.1186/s40163-024-00226-613:1Online publication date: 18-Oct-2024
https://doi.org/10.1186/s40163-024-00226-6
Jacobsen B(2024)Deepfakes and the promise of algorithmic detectabilityEuropean Journal of Cultural Studies10.1177/13675494241240028Online publication date: 2-Apr-2024
https://doi.org/10.1177/13675494241240028
Trifonova PVenkatagiri SFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Misinformation, Fraud, and Stereotyping: Towards a Typology of Harm Caused by DeepfakesCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3685938(533-538)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3685938
Sohrawardi SWu YHickerson AWright M(2024)Dungeons & Deepfakes: Using scenario-based role-play to study journalists' behavior towards using AI-based verification tools for video contentProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641973(1-17)Online publication date: 11-May-2024
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Karagianni ADoh M(2024)A feminist legal analysis of non-consensual sexualized deepfakes: contextualizing its impact as AI-generated image-based violence under EU lawPorn Studies10.1080/23268743.2024.2408277(1-18)Online publication date: 14-Nov-2024
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Robinson SBuckley JCiolfi LLinehan CMcInerney CNuseibeh BTwomey JRauf IMcCarthy J(2024)Infrastructural justice for responsible software engineering,Journal of Responsible Technology10.1016/j.jrt.2024.10008719(100087)Online publication date: Sep-2024
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Do Deepfakes Adequately Display Emotions? A Study on Deepfake Facial Emotion Expression

Agents that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent

A Neurocognitive Model of Empathic Embarrassment / מודל נוירוקוגניטיבי של מבוכה אמפתית

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