The Cognitive Evolution of Artificial Intelligence and Its Legal Implications
Keywords:
Cognitive Evolution, Machine Learning, Data Privacy, Intellectual Property, Deep Learning, Human-Machine InteractionAbstract
This research paper delves into the intricacies of Artificial Intelligence (AI), exploring its evolution from pre-programmed systems to advanced AI models capable of learning from environmental interactions and past experiences. The study categorizes AI into three types as defined by the World Intellectual Property Organization (WIPO): Expert Systems, Perception Systems, and Natural Language Processing Systems. It argues that while AI lacks consciousness and operates within predefined limits set by its creators, its growing sophistication necessitates a legal framework to address liability and responsibility issues. The discussion extends to the ethical and societal impacts of AI, emphasizing the need for a balanced approach in integrating AI into legal systems to ensure accountability and prepare for future advancements.The research also highlights the transformative potential of AI in various fields and underscores the importance of proactive legal and ethical considerations in its development and deployment.
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Sari, M., Cosgun, T., Yalcin, I. E., Taner, M., & Ozyigit, I. I. (2021, December 11). Deciding Heavy Metal Levels in Soil Based on Various Ecological Information through Artificial Intelligence Modeling. Applied Artificial Intelligence, 36(1). https://doi.org/10.1080/08839514.2021.2014189
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