Intercultural Ethic
Intercultural ethics in artificial intelligence (AI) focuses on ensuring AI systems are developed and deployed responsibly across diverse cultural contexts, mitigating biases and promoting fairness. Current research emphasizes addressing ethical challenges in various AI applications, including education, healthcare, and autonomous vehicles, often employing techniques like algorithmic fairness interventions and multi-modal training to improve model behavior. This field is crucial for ensuring AI benefits all of humanity, requiring interdisciplinary collaboration between ethicists, AI developers, and social scientists to establish ethical guidelines and regulatory frameworks for AI development and deployment.
Papers
A Review of the Ethics of Artificial Intelligence and its Applications in the United States
Esther Taiwo, Ahmed Akinsola, Edward Tella, Kolade Makinde, Mayowa Akinwande
Ethics of Artificial Intelligence and Robotics in the Architecture, Engineering, and Construction Industry
Ci-Jyun Liang, Thai-Hoa Le, Youngjib Ham, Bharadwaj R. K. Mantha, Marvin H. Cheng, Jacob J. Lin