Artificial Intelligence for Social Good in Responsible Global Citizenship Education: An Inclusive Democratized Low-Code Approach

Proceedings of ‏The 2nd World Conference on Teaching and Education

Year: 2021

DOI:

[Fulltext PDF]

Artificial Intelligence for Social Good in Responsible Global Citizenship Education: An Inclusive Democratized Low-Code Approach

Meng-Leong How

 

ABSTRACT: 

Although the world has become more connected than ever, inequality and poverty continue to hamper sustainable development. To surmount these challenges, UNESCO promotes Global Citizenship Education (GCED), which seeks to instill values, attitudes and behaviors in people to consider the importance of responsible global citizenship: creativity, innovation, and dedication to peace, human rights, and sustainable development. It allows students of all ages to understand that these questions are global, not local, so that they can actively promote peaceful, tolerant, inclusive, safe, and sustainable societies. This paper shows how a user-friendly low-code human-centric probabilistic approach can be used to democratize AI usage so that people who are not computer scientists may also use AI for social good through this inclusiveness.

Keywords: inclusive; democratized; responsible education; global citizenship education; predictive simulations; Bayesian networks; no-code; low-code; artificial intelligence; optimizations; human-centric reasoning; human-in-the-loop; policy assessment.