Culturally Responsive Artificial Intelligence -- Problems, Challenges and Solutions
This addresses the need for culturally responsible AI to prevent harm in diverse global contexts, but it is incremental as it builds on existing ethical AI discussions without introducing new methods.
The paper tackles the problem of AI algorithms lacking cultural responsiveness in multicultural societies, advocating for their development to address socio-cultural and ethical challenges and recommending multidisciplinary research and regulatory measures.
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.