Unmasking Inequalities of the Code: Disentangling the Nexus of AI and Inequality, Technological Forecasting and Social Change

The study aims to illuminate the societal chasms that AI systems may inadvertently widen, building on the premise that biases, power dynamics, and ethical quandaries are inextricably knitted into the fabric of AI technologies (Crawford, 2016). This conceptual paper built on illustrative cases has two objectives: first, to elucidate the mechanisms through which AI both perpetuates and is moulded by inequality; and second, to explore transformative solutions that can inform the design, deployment and ownership of AI technologies that embody the principles of fairness, inclusivity, and justice (O’Neil, 2016).

Bircan, T. and Özbilgin, M. F., 2024 Unmasking inequalities of the code: Disentangling the nexus of AI and inequality,
Technological Forecasting and Social Change, Volume 211, 2025, 123925, ISSN 0040-1625,