Cultivation of human centered artificial intelligence: culturally adaptive thinking in education (CATE) for AI

• DOI: 10.3389/frai.2023.1198180
• Publication Date: 2023-12-01T18:26:09Z
• Authors: Yana Samuel; Margaret Brennan-...; Jim Samuel; Rajiv Kashyap; Vivek Kumar; Sri Krishna Kaashyap; Nishitha Chidipothu; Irawati Anand; Parth Jain
• Keywords: human centered artificial intelligence; education; AI; Artificial Intelligence; Electronic computers. Computer science; AI education; 0202 electrical engineering, electronic engineering, information engineering; QA75.5-76.95; 02 engineering and technology; educational AI; culture

Artificial Intelligence (AI) has become ubiquitous in human society, and yet vast segments of the global population have no, little, or counterproductive information about AI. It is necessary to teach AI topics on a mass scale. While there rush implement academic initiatives, scant attention been paid unique challenges teaching curricula culturally diverse audience with varying expectations privacy, technological autonomy, risk preference, knowledge sharing. Our study fills this void by focusing elements new framework titled Culturally Adaptive Thinking Education for (CATE-AI) enable concepts learners. Failure contextualize sensitize education culture other categorical human-thought clusters, can lead several undesirable effects including confusion, AI-phobia, cultural biases AI, increased resistance toward technologies education. We discuss integrate behavior theories, applications research, educational frameworks, centered principles articulate CATE-AI. In first part paper, we present development significantly enhanced version CATE. second part, explore textual data from related news articles generate insights that lay foundation CATE-AI, support our findings. The CATE-AI help learners artificial intelligence more effectively serving as basis adapting contextualizing their sociocultural needs.