Culturally Responsive Artificial Intelligence -- Problems, Challenges and Solutions

TL;DR

This paper discusses the importance of developing culturally responsive AI systems by addressing socio-cultural and ethical challenges, emphasizing multidisciplinary research, AI enculturation, and regulatory measures for global cultural responsibility.

Contribution

It identifies key challenges in implementing culturally aware AI and proposes solutions including regulatory frameworks and multidisciplinary approaches for culturally responsive AI development.

Findings

Highlights socio-cultural and ethical challenges in AI

Recommends multidisciplinary research for better AI enculturation

Emphasizes regulatory measures to promote cultural responsibility

Abstract

In the contemporary interconnected world, the concept of cultural responsibility occupies paramount importance. As the lines between nations become less distinct, it is incumbent upon individuals, communities, and institutions to assume the responsibility of safeguarding and valuing the landscape of diverse cultures that constitute our global society. This paper explores the socio-cultural and ethical challenges stemming from the implementation of AI algorithms and highlights the necessity for their culturally responsive development. It also offers recommendations on essential elements required to enhance AI systems' adaptability to meet the demands of contemporary multicultural societies. The paper highlights the need for further multidisciplinary research to create AI models that effectively address these challenges. It also advocates the significance of AI enculturation and underlines the importance of regulatory measures to promote cultural responsibility in AI systems.