Media Forensic Considerations of the Usage of Artificial Intelligence Using the Example of DeepFake Detection

Author:

Siegel Dennis1,Kraetzer Christian1,Seidlitz Stefan1,Dittmann Jana1

Affiliation:

1. Department of Computer Science, Otto-von-Guericke University, 39106 Magdeburg, Germany

Abstract

In recent discussions in the European Parliament, the need for regulations for so-called high-risk artificial intelligence (AI) systems was identified, which are currently codified in the upcoming EU Artificial Intelligence Act (AIA) and approved by the European Parliament. The AIA is the first document to be turned into European Law. This initiative focuses on turning AI systems in decision support systems (human-in-the-loop and human-in-command), where the human operator remains in control of the system. While this supposedly solves accountability issues, it includes, on one hand, the necessary human–computer interaction as a potential new source of errors; on the other hand, it is potentially a very effective approach for decision interpretation and verification. This paper discusses the necessary requirements for high-risk AI systems once the AIA comes into force. Particular attention is paid to the opportunities and limitations that result from the decision support system and increasing the explainability of the system. This is illustrated using the example of the media forensic task of DeepFake detection.

Funder

German Federal Ministry of Education and Research

Publisher

MDPI AG

Reference42 articles.

1. European Commission (2021, September 14). Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts. COM(2021) 206 Final. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52021PC0206.

2. European Parliament (2023, September 12). Amendments Adopted by the European Parliament on 14 June 2023 on the Proposal for a Regulation of the European Parliament and of the Council on Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts. COM(2021)0206–C9-0146/2021–2021/0106(COD). Available online: https://www.europarl.europa.eu/doceo/document/TA-9-2023-0236_EN.html.

3. Rathgeb, C., Tolosana, R., Vera-Rodriguez, R., and Busch, C. (2022). Handbook of Digital Face Manipulation and Detection From DeepFakes to Morphing Attacks, Springer.

4. Siegel, D., Krätzer, C., Seidlitz, S., and Dittmann, J. (2021). Media Forensics Considerations on DeepFake Detection with Hand-Crafted Features. J. Imaging, 7.

5. Forensic data model for artificial intelligence based media forensics - Illustrated on the example of DeepFake detection;Siegel;Electron. Imaging,2022

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