Integrating Legal, Ethical, and Technological Strategies to Mitigate AI Deepfake Risks through Strategic Communication.
Downloads
This study explores the critical role of legal education in addressing the challenges posed by AI deepfakes, with a focus on integrating deepfake-related topics into the curriculum to better prepare legal professionals. The primary objective is to examine how legal education can be enhanced to equip future lawyers with the necessary skills to navigate the ethical, legal, and technological implications of AI deepfakes. The study employs a theoretical approach, analyzing existing literature, case studies, and current legal frameworks to identify gaps in legal education and propose strategies for integrating AI deepfake topics into both foundational and continuing legal education (CLE) programs. The findings suggest that incorporating AI deepfake education into legal training can significantly enhance legal professionals' ability to address the complex challenges posed by this technology. Key strategies include developing specialized modules, implementing scenario-based learning, and fostering interdisciplinary collaboration. The study highlights the broader implications of these findings for future research and practice, emphasizing the need for ongoing updates to legal curricula and the importance of continuous professional development. The integration of AI deepfake education is not only necessary for legal practice but also for shaping ethical and legal standards in the digital age.
Downloads
Agarwal, S., Farid, H., Gu, Y., He, M., Nagano, K., & Li, H. (2019). Protecting World Leaders Against Deep Fakes. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 38-45).
Bambauer, D. (2021). The Trouble with Fake News. Brooklyn Law Review, 86(2), 451-498.
Boland, J. (2008). Doe v. Boland, 698 F.3d 877 (6th Cir. 2012).
Calo, R. (2020). Artificial Intelligence Policy: A Primer and Roadmap. UCLA Law Review, 66(4), 1802-1846.
Chandler, A. (2022). Communicating AI Risks: Strategies for Engaging Non-Technical Audiences. Journal of Risk Research, 25(3), 285-303.
Chesney, R., & Citron, D. K. (2019). Deepfakes and the New Disinformation War: The Coming Age of Post-Truth Geopolitics. Foreign Affairs, 98(3), 147-155.
Chesney, R., & Citron, D. K. (2020). Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security. California Law Review, 108(5), 1753-1819.
Citron, D. K., & Chesney, R. (2020). Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security. California Law Review, 108(5), 1753-1819.
Crawford, K., Dobbe, R., Dryer, T., Fried, G., Green, B., Kaziunas, E., ... & Whittaker, M. (2022). AI Now 2022 Report. AI Now Institute.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Schafer, B. (2018). AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds and Machines, 28(4), 689-707.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Schafer, B. (2022). Ethics of Artificial Intelligence: Nature, Importance, and Complexity. Minds and Machines, 32(2), 365-391.
Garg, S., & Badr, Y. (2023). The Role of Public Awareness Campaigns in Combating AI Deepfakes. Journal of Communication Management, 27(1), 23-36.
Goodman, E. P., & Chen, S. L. (2021). Teaching Cyberlaw and the Governance of Emerging Technologies: Artificial Intelligence as a Lens. Journal of Legal Education, 70(2), 239-258.
Hagey, L. (2022). Training Lawyers for the AI Age: The Importance of Incorporating Technology in Legal Education. Harvard Journal of Law & Technology, 35(1), 321-345.
Hallahan, K., Holtzhausen, D., van Ruler, B., Vercic, D., & Sriramesh, K. (2007). Defining Strategic Communication. International Journal of Strategic Communication, 1(1), 3-35.
Hao, K. (2022). "How the Ukrainian government is using tech to fight Russian deepfakes." MIT Technology Review. Retrieved from https://www.technologyreview.com.
Henry, N., & Flynn, A. (2019). Image-based sexual abuse: The extent, nature, and responses to non-consensual pornography in Australia. Women’s Studies International Forum, 77, 105-114.
Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1(9), 389-399.
Keller, D. (2019). The Malicious Use of AI: Forecasting, Prevention, and Mitigation. The Journal of Artificial Intelligence Research, 67, 409-415.
Kietzmann, J., Lee, L. W., McCarthy, I. P., & Kietzmann, T. C. (2020). Deepfakes: Trick or treat? Business Horizons, 63(2), 135-146.
Langvardt, K. (2020). Regulating the Deadliest Technology of All: Deepfakes, Free Speech, and the Long Road Ahead. Georgetown Law Technology Review, 5(2), 204-231.
Li, Y., Chang, M. C., & Lyu, S. (2020). In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking. IEEE Transactions on Information Forensics and Security, 14(5), 980-988.
Ramos, L., Bautista, S., & Bonett, M. C. (2021, September). SwiftFace: Real-Time Face Detection: SwitFace. In Proceedings of the XXI International Conference on Human Computer Interaction (pp. 1-5).
Patibandla, K. R. (2024). Automate Amazon Aurora Global Database Using Cloud Formation. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 2(1), 262-270.
Patibandla, K. R. (2024). Design and Create VPC in AWS. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 1(1), 273-282.
Esfahani, M. N. Breaking Language Barriers: How Multilingualism Can Address Gender Disparities in US STEM Fields.
Thatoi, P. Strategizing P2P Investments using Socio-Economic Factors.
Khalili, A., Naeimi, F., & Rostamian, M. Manufacture and characterization of three-component nano-composites Hydroxyapatite Using Polarization Method.
Braimoh, J. (2020). The impact of texting language on Nigerian students: a case study of final year linguistics students. Per Linguam: a Journal of Language Learning= Per Linguam: Tydskrif vir Taalaanleer, 36(1), 15-31.
Braimoh, J. J. (2006). Examining the Difficulties of Acquiring the Past Subjunctive in L2 French. Hypothesis, 2008, 2013.
Braimoh, J. J. (2022). Linguistic Expressions of Pidgin in Nigerian Stand-up Comedy (Doctoral dissertation, The University of Mississippi).
Akpotoghogho, A., & Braimoh, J. J. (2024). The Phonetic Challenges of Vowel Elision for Nigerian Students of French for Specific Purpose (FOS). Valley International Journal Digital Library, 3488-3493.
BRAIMOH, J. J., & IGBENEGHU, B. Une Etude Syntaxique des Problèmes del’appropriation du Subjonctif Présent par les Apprenants de l’University of Benin au Nigéria.
OGUNTOLA, L. O., ANTHONY, H. M., & OYEWUMI, M. B. (2020). E-learning en période de la covid-19: les écoles nigérianes à la loupe. Akofena: Revue scientifique des Sciences du Langage, Lettres, Langues et Communication,(en ligne), consulté le, 22(01), 2022.
Erude, Adesuwa & Saeed, M. & Ondracek, James & Bertsch, Andy. (2024). Preventing Concussions and Head Injuries in College Football: A Case Study of Sports Management. Effulgence-AManagement Journal. 22. 57 - 73. 10.33601/effulgence.rdias/v22/i1/2024/57-73.
Nasr Esfahani, Mahshad. (2023). Breaking Language Barriers: How Multilingualism Can Address Gender Disparities in US STEM Fields. International Journal of All Research Education & Scientific Methods. 11. 2090-2100. 10.56025/IJARESM.2024.1108232090.
Amoako, K., Pusey, R. F., Haddad, W. A., Majin, S., Wheba, A., Okwuogori, C., ... & Sanisetty, V. H. (2023). PULM3: The Effects of a Two-step Coating Process and Flow on Artificial Lung Fiber Fouling. ASAIO Journal, 69(Supplement 2), 88.
CHOUDHARY, R., THATOI, P., & ROUT, S. S. (2024). Enhanced Prognostic Assessment of Glioblastoma Multiforme Using Machine Learning: Integrating Multimodal Imaging and Treatment Features: A review.
Thatoi, P., Choudhary, R., Shiwlani, A., Qureshi, H. A., & Kumar, S. (2023). Natural Language Processing (NLP) in the Extraction of Clinical Information from Electronic Health Records (EHRs) for Cancer Prognosis. International Journal, 10(4), 2676-2694.
Dahiya, S. (2024). Developing AI-Powered Java Applications in the Cloud Harnessing Machine Learning for Innovative Solutions. Innovative Computer Sciences Journal, 10(1).
Dahiya, S. (2024). Cloud Security Essentials for Java Developers Protecting Data and Applications in a Connected World. Advances in Computer Sciences, 7(1).
Dahiya, S. (2023). Safe and Robust Reinforcement Learning: Strategies and Applications. Journal of Innovative Technologies, 6(1).
Dave, A. (2013). PCIE configuration for data transfer at rate of 2.5-Giga Bytes per Second (GBPS): for data acquisition system.
Dave, A. (2021). A Survey of AI-based smart chiplets and interconnects for vehicles. North American Journal of Engineering Research, 2(4).
Dave, A., Banerjee, N., & Patel, C. (2023). FVCARE: Formal Verification of Security Primitives in Resilient Embedded SoCs. arXiv preprint arXiv:2304.11489.
Dave, A. (2021). Distributed Sensors Based In-Vehicle Monitoring and Security. North American Journal of Engineering Research, 2(4).
Gurjar, S., Chauhan, V., Suthar, M., Desai, D., Luhar, H., Patel, V., ... & Dave, N. (2022). Digital Eye for Visually Impaired—DEVI. In Intelligent Infrastructure in Transportation and Management: Proceedings of i-TRAM 2021 (pp. 131-139). Springer Singapore.
Patel, A. D. N. B. C. (2023). RARES: Runtime Attack Resilient Embedded System Design Using Verified Proof-of-Execution. arXiv preprint arXiv:2305.03266.
Dave, A., Banerjee, N., & Patel, C. (2021). Care: Lightweight attack resilient secure boot architecturewith onboard recovery for risc-v based soc. arXiv preprint arXiv:2101.06300.
Majid, M. E. (2018). Role of ICT in promoting sustainable consumption and production patterns-a guideline in the context of Bangladesh. Journal of Environmental Sustainability, 6(1), 1-14.
Kashem, S. B. A., Hasan-Zia, M., Nashbat, M., Kunju, A., Esmaeili, A., Ashraf, A., ... & Chowdhury, M. E. (2021). A review and feasibility study of geothermal energy in Indonesia. International Journal of Technology, Volume2, (1), 19-34.
bin Abul Kashem, S., Majid, M. E., Tabassum, M., Ashraf, A., Guziński, J., & Łuksza, K. (2020). A preliminary study and analysis of tidal stream generators. Acta Energetica, 6-22.
Kashem, S. B. A., Chowdhury, M. E. H., Majid, M. E., Ashraf, A., Hasan-Zia, M., Nashbat, M., ... & Esmaeili, A. (2021). A Comprehensive Review and the Efficiency Analysis of Horizontal and Vertical Axis Wind Turbines. European Journal of Sustainable Development Research, 5(3).
bin Abul Kashem, S., Majid, M. E., Tabassum, M., Iqbal, A., Pandav, K., & Abdellah, K. (2020). A Comprehensive Study and Analysis of Kinetic Energy Floor. Acta Energetica, (02), 6-13.
Abul, S. B., Forces, Q. A., Muhammad, E. H., Tabassum, M., Muscat, O., Molla, M. E., ... & Khandakar, A. A Comprehensive Study on Biomass Power Plant and Comparison Between Sugarcane and Palm Oil Waste.
Arefin, S., Chowdhury, M., Parvez, R., Ahmed, T., Abrar, A. S., & Sumaiya, F. (2024, May). Understanding APT detection using Machine learning algorithms: Is superior accuracy a thing?. In 2024 IEEE International Conference on Electro Information Technology (eIT) (pp. 532-537). IEEE.
Copyright (c) 2024 Samuel Ohizoyare Esezoobo, Jimoh Junior Braimoh
This work is licensed under a Creative Commons Attribution 4.0 International License.
