Legal challenges in the field of artificial intelligence: (between regulation and protection)
DOI:
https://doi.org/10.59759/law.v5i2.1899Keywords:
Keywords: Artificial Intelligence, Legal Challenges, Civil Liability, Legislative Regulation, Legal Frameworks.Abstract
This research provides a comprehensive analytical study of the nature and historical development of Artificial Intelligence (AI), exploring its concepts from both technical and legal perspectives. It aims to identify the legal and ethical challenges posed by autonomous technologies while exploring the economic and social opportunities arising from their use. The study focuses on addressing the dilemma of balancing AI's immense potential for innovation with its associated risks regarding liability, privacy, and bias. Furthermore, it reviews international legislative stances, highlighting Egypt's establishment of the National AI Council, the European Union's move toward discussing legal status for robots, and legislative efforts in the United States. The research concludes by emphasizing the necessity of formulating flexible legal frameworks and establishing specialized regulatory bodies to ensure the responsible and safe deployment of AI technologies.
Downloads
References
• Accenture, 2019, The art of AI maturity Advancing from practice to performance .
• Andreas M. Kaplan, Michael Haenlein. (2019). Siri, Siri in my hand, who’s the fairest in the land? On the interpretations, illustrations and implications of artificial intelligence. Business Horizons, 62(1).
• Bryce Goodman, B., & Seth Flaxman, S. (2016). EU. regulations on algorithmic decision-making and a "right to explanation". AI Magazine, 37(3).
• Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
• Eric Topol. (2019). Deep medicine: How artificial intelligence can make healthcare human again.
• European Commission, 2021. Artificial Intelligence Act Proposal,
• Gartner. (2022). The Economic Impact of AI-Driven Automation.
• General Data Protection Regulation (GDPR). (2016).
• Greg Allen, Taniel Chan. (2017). Artificial intelligence and national security. Belfer Center for Science and International Affairs.
• Harvard Business Review. (2020). How AI is Changing Entrepreneurship.
• Isabelle Carboni: The Mobile Gender Gap Report 2021, GSMA Intelligence, (2021).
• Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., ... & Sanghvi, S. (December 2017). JOBS LOST, JOBS GAINED: WORKFORCE TRANSITIONS IN A TIME OF AUTOMATION. McKinsey Global Institute.
• McKinsey Global Institute. (2018). Notes from the AI Frontier: Modeling the Impact of AI on the World Economy.
• Michelle B. Cowley-Cunningham: Online Business Review of Susskind, R., & Susskind, D. (2015). The Future of the Professions: How Technology Will Transform the Work of Human Experts – Oxford University Press, UK.
• Radosław Wolniak&Kinga Stecuła: Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A Review,2024.
• Siau, king and weiyu wang .2018 “Building Trust in Artificial Intelligence, Machine Learning, and Robotics” Cutter Business Technology Journal 32, no 2:50.
• Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again.
• UNEP. (2021). Artificial Intelligence for Climate Action.
• United Nations Office on Drugs and Crime, 2020. Using Artificial Intelligence for Crime Prevention.
• Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, F., Domenech, J., ... & Asghar, Z. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1).
• WHO. (2022). Assistive Technologies and AI for Persons with Disabilities.
• World Bank. (2022). Financial Inclusion and AI in Developing Countries.
