AI and Identity

TL;DR

This paper explores how AI's development and societal impact are intertwined with issues of identity, diversity, and ethics, emphasizing the importance of inclusivity across creators, technologies, and consequences.

Contribution

It introduces a multifaceted definition of AI identity and proposes a framework to promote diversity and responsibility in AI development and deployment.

Findings

Highlights the societal impact of AI and identity

Proposes a framework emphasizing diversity in AI

Calls for inclusive approaches in AI ecosystem

Abstract

AI-empowered technologies' impact on the world is undeniable, reshaping industries, revolutionizing how humans interact with technology, transforming educational paradigms, and redefining social codes. However, this rapid growth is accompanied by two notable challenges: a lack of diversity within the AI field and a widening AI divide. In this context, This paper examines the intersection of AI and identity as a pathway to understand biases, inequalities, and ethical considerations in AI development and deployment. We present a multifaceted definition of AI identity, which encompasses its creators, applications, and their broader impacts. Understanding AI's identity involves understanding the associations between the individuals involved in AI's development, the technologies produced, and the social, ethical, and psychological implications. After exploring the AI identity ecosystem and its societal dynamics, We propose a framework that highlights the need for diversity in AI across three dimensions: Creators, Creations, and Consequences through the lens of identity. This paper proposes the need for a comprehensive approach to fostering a more inclusive and responsible AI ecosystem through the lens of identity.