The Ethics of Artificial Intelligence: Sociopolitical and Legal Dimensions

This study aims to explore the ethical dimensions of artificial intelligence (AI), focusing on its sociopolitical and legal implications. It seeks to identify and analyze the primary ethical concerns that arise from the development and deployment of AI technologies, with an emphasis on understanding how these concerns impact society and the legal frameworks that govern AI. Employing a qualitative research design, this study conducted semi-structured interviews with ۲۲ participants from diverse professional backgrounds, including technology ethicists, legal scholars, AI developers, policymakers, and advocacy group representatives. The data collection aimed for theoretical saturation, with the interviews designed to uncover a broad range of perspectives on AI ethics. Thematic analysis was used to identify and categorize the main themes and sub-themes related to the ethical implications of AI. The analysis revealed two main themes: Sociopolitical Dimension and Legal Dimension. The Sociopolitical Dimension includes categories such as Privacy and Data Governance, Bias and Discrimination, AI and Employment, Digital Divide, and AI in Governance. The Legal Dimension encompasses Intellectual Property Rights, Liability and Accountability, Regulatory Frameworks, AI Ethics and Law Integration, and Human Rights and AI. Each category was further explored through specific concepts, highlighting the complexities and challenges inherent in the ethical considerations of AI technologies. The study underscores the intricate relationship between AI technologies and ethical considerations, emphasizing the necessity for comprehensive, multidisciplinary approaches to address the identified sociopolitical and legal challenges. It advocates for the development of inclusive, equitable, and responsive frameworks that not only mitigate risks but also promote the beneficial potential of AI, ensuring that technological advancements align with societal values and legal norms. This study aims to explore the ethical dimensions of artificial intelligence (AI), focusing on its sociopolitical and legal implications. It seeks to identify and analyze the primary ethical concerns that arise from the development and deployment of AI technologies, with an emphasis on understanding how these concerns impact society and the legal frameworks that govern AI. Employing a qualitative research design, this study conducted semi-structured interviews with ۲۲ participants from diverse professional backgrounds, including technology ethicists, legal scholars, AI developers, policymakers, and advocacy group representatives. The data collection aimed for theoretical saturation, with the interviews designed to uncover a broad range of perspectives on AI ethics. Thematic analysis was used to identify and categorize the main themes and sub-themes related to the ethical implications of AI. The analysis revealed two main themes: Sociopolitical Dimension and Legal Dimension. The Sociopolitical Dimension includes categories such as Privacy and Data Governance, Bias and Discrimination, AI and Employment, Digital Divide, and AI in Governance. The Legal Dimension encompasses Intellectual Property Rights, Liability and Accountability, Regulatory Frameworks, AI Ethics and Law Integration, and Human Rights and AI. Each category was further explored through specific concepts, highlighting the complexities and challenges inherent in the ethical considerations of AI technologies. The study underscores the intricate relationship between AI technologies and ethical considerations, emphasizing the necessity for comprehensive, multidisciplinary approaches to address the identified sociopolitical and legal challenges. It advocates for the development of inclusive, equitable, and responsive frameworks that not only mitigate risks but also promote the beneficial potential of AI, ensuring that technological advancements align with societal values and legal norms.

Keywords:

Artificial Intelligence Ethics , Sociopolitical Implications , Legal Frameworks , Privacy , Bias and Discrimination , Intellectual