Abstract
Generative AI systems have given incredible ability to independently produce a wide variety of content types, including textual, visual, and more. Complex issues with copyright protection and intellectual property rights have arisen as a result of this change. With a focus on fostering responsible global governance, this research delves into the complex legal and ethical considerations underlying Generative AI. The goal of this chapter is to take a look at the complicated legal issues that come up because of Generative AI's ability to generate material on its own. This chapter analyzes the current legal documents, legislation, and international treaties, focusing on ethical concerns. Ultimately, the authors want to have a positive impact on efforts to build responsible and efficient international frameworks for regulating Generative AI. This study provides an exhaustive case for the implementation of legal frameworks that can efficiently tackle the intricate legal and ethical quandaries posed by Generative AI, while simultaneously encouraging the progress of innovation and creativity.
TopIntroduction
The advent of Generative AI represents a significant epoch of intellectual prowess and originality, encompassing a diverse range of applications that extend from the generation of content to the manifestation of creative endeavors. Nevertheless, this groundbreaking technology also introduces a plethora of complex legal matters that necessitate meticulous scrutiny. The present study delves into the intricate legal matters pertaining to Generative AI in the specified context, with the objective of offering valuable perspectives on the intricate legal structure necessary for its conscientious deployment.
Generative artificial intelligence (AI) systems exhibit the capacity to autonomously generate textual content, visual imagery, and various other forms of creative material, thereby introducing intricate considerations within the realm of intellectual property rights and copyright protection (Engelke, 2020). The present chapter delves into the intricate legal dimensions pertaining to the ownership and safeguarding of compositions generated by artificial intelligence (AI) systems. The present inquiry delves into matters pertaining to authorship, attribution, and the potential necessity for reassessment and modification of extant copyright statutes. The preservation of data privacy and security assumes paramount significance within the domain of artificial intelligence (Haugh, et al., 2018). The present study aims to examine the methodologies and approaches employed by Generative AI in the processing and exploitation of data, with specific attention directed towards scenarios involving the presence of sensitive or personal data. The legal facets encompass compliance with data protection norms, securing requisite consent, and addressing accountability in the event of data breaches. Furthermore, it is evident that the rise of liability concerns becomes conspicuous in instances where AI-generated content gives rise to deleterious outcomes or the propagation of erroneous data. The imperative for the evolution of legal frameworks arises from the need to delineate the precise boundaries of culpability, accountability, and the entitlements of individuals affected by the information generated by artificial intelligence. This encompasses the legal aspects pertaining to both civil and criminal affairs. The salience of transnational data transfers and the establishment of international standards for the governance of artificial intelligence is manifest within the global milieu. Legal issues encompass the imperative of harmonizing international regulations, resolving disputes concerning jurisdictional matters, and ensuring the appropriate application of artificial intelligence within the context of transnational borders (Somaya & Varshney, 2020).
The principal aim of this study is to investigate a range of legal and ethical considerations pertaining to Generative AI technology. The aforementioned concerns encompass a multitude of domains, including but not limited to intellectual property, data privacy, liability, and international governance. The proliferation of content generated by artificial intelligence (AI) engenders complex inquiries pertaining to authorship, ownership, and attribution, thereby posing challenges to the existing paradigms of intellectual property and copyright. The paramount importance of data privacy and security arises when Generative AI systems gradually interact with personal and sensitive data. A comprehensive examination is imperative in order to effectively tackle the legal dimensions surrounding the matters of consent, data protection legislation, and accountability in the event of data breaches. Furthermore, the potentiality of AI-generated content to cause harm, propagate misinformation, or blur the line between truth and falsehood gives rise to concerns regarding legal accountability and culpability (Cath, 2018).
Key Terms in this Chapter
Ethical AI: The ethical principles of ethical AI include individual rights, privacy, non-discrimination, and non-manipulation. Ethical AI prioritises ethics in deciding AI usage.
Artificial Intelligence: The theory and development of computer systems that can execute human activities, including visual perception, voice recognition, decision-making, and language translation.
ChatGPT: ChatGPT is an AI-powered natural language processing tool that lets you conduct human-like chatbot chats and more. Language models can answer inquiries and help with email, essay, and code writing.
Generative AI: Generative AI is an artificial intelligence that can generate text, pictures, audio, and synthetic data.
Algorithm Bias: Algorithmic bias refers to repeated mistakes in a computer system that unfairly favour one user group over another.