Virginia Tech Engineering Education的动态

Our approach to global AI ethics - data-driven and cross-cultural I didn't know they were gonna film this, but I'm glad I wore that shirt :) "Towards a culturally responsive approach to global AI ethics" by Qin Zhu, Subho Majumdar, PhD, and me. Background: Approaches to AI ethics are culturally biased, since they are grounded in values, principles, and frameworks that fail to represent the diversity of global populations. BUT attempts to debias AI are unlikely to be successful, since they are based on incorrect psychological assumptions about how people think about and behave regarding AI and ethics. Solution: RATHER a culturally responsive, psychologically realist approach to the advancement and adoption of AI in global contexts is needed. This depends on understanding how people from diverse backgrounds think about issues of right and wrong and behave (psychologically realist), and how culture affects these judgments and behaviors (culturally responsive), using empirical insights and methodologies from the behavioral and social sciences. Thanks Virginia Tech, Virginia Tech College of Engineering, Virginia Tech Engineering Education! At the Beyond Compliance 2024 - Workshop "Research Ethics in the Digital Age #global #ai #ethics #aiethics #responsible #responsibleai #culture #moral #psychology #weird #bias