Ina Veleshnja – University of Tirana, Faculty of Law, โ€œMilto Tutulaniโ€ Str, Tirana, Albania

Xhei ร‡eliku – University of Tirana, Faculty of Law, โ€œMilto Tutulaniโ€ Str, Tirana, Albania

Keywords:
Sexual abuse;
Artificial intelligence;
Exploitation;
Deepfakes

DOI: https://doi.org/10.31410/EMAN.2024.571

Abstract: Artificial Intelligence holds significant influence in the realm of onยญline sexual abuse, revolutionizing both perpetration and prevention. Through sophisticated algorithms and machine learning, AI facilitates the proliferaยญtion of explicit content, grooming techniques, and online exploitation. Its rapยญid evolution enables predators to exploit vulnerabilities, evade detection, and manipulate victims. Conversely, AI-driven technologies offer promising avยญenues for detection, intervention, and victim support. The following paper highlights the dual nature of AIโ€™s impact on online sexual abuse, emphasizing the urgent need for comprehensive regulation, ethical guidelines, and collabยญorative efforts to harness AIโ€™s potential for safeguarding vulnerable individuยญals in the digital age.

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8th International Scientific Conference – EMAN 2024 – Economics and Management: How to Cope With Disrupted Times, Rome, Italy, March 21, 2024, CONFERENCE PROCEEDINGS, published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-83-7, ISSN 2683-4510, DOI: https://doi.org/10.31410/EMAN.2024

Creative Commons Nonย Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.ย 

Suggested citation
Veleshnja, I., & ร‡eliku, X. (2024). Calls for Regulation in AI: Examining the Impact of Artificial Intelligence on Contemporary Issues Surrounding Sexual Abuse. In C. A. Nastase, A. Monda, & R. Dias (Eds.), International Scientific Conference – EMAN 2024: Vol 8. Conference Proceedings (pp. 571-576). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/EMAN.2024.571

REFERENCES

Brighi, A. A. (2023). Prevalence and risk factors for nonconsensual distribution of intimate imยญages among Italian young adults: Implications for prevention and intervention. National Library of Medicine.

The Defiance Act of 2024. (2024). Retrieved from https://www.durbin.senate.gov/imo/media/doc/defiance_act_of_2024.pdfย ย 

European Parliament. (2023, June 14). Retrieved from https://www.europarl.europa.eu/doceo/document/TA-9-2023-0236_EN.htmlย  ย 

Home Security Heroes. (2024, April 6). Home Security Heroes. Retrieved from 2023 State of Deepfakes: https://www.homesecurityheroes.com/state-of-deepfakes/ย 

IBM. (2024, February 18). Retrieved from What is machine learning? https://www.ibm.com/topics/machine-learningย ย 

Ortiz, S. (2023, September 15). What is ChatGPT and why does it matter? Hereโ€™s what you need to know. Retrieved from ZedNed: https://www.zdnet.com/article/what-is-chatgpt-and-why-does-it-matter-heres-everything-you-need-to-know/ย ย 

Sample, I. (2020, January 13). What are deepfakes and how can you spot them?. Retrieved from https://www.theguardian.com/technology/2020/jan/13/what-are-deepfakes-and-how-can-you-spot-themย 

 

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