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
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey
Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Yichen Wang, Kuofeng Gao, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Shenghao Wu, Zongxing Xie, Weimin Lyu, Sihong He, Lu Cheng, Haohan Wang, Jun Zhuang
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models
Kalyan Nakka, Jimmy Dani, Nitesh Saxena