Abstract
This paper explores the complex and multifaceted impact of Artificial Intelligence (AI) on marginalized populations, highlighting both its potential benefits and risks. It stresses the ethical responsibility of AI development, advocating for a holistic approach that prioritizes equity, inclusion, and social justice. A central focus is on how AI can enhance access to essential services such as healthcare, education, and financial resources, particularly for underserved communities. However, concerns are raised about AI algorithms perpetuating biases in areas like hiring, lending, and criminal justice, potentially worsening existing inequalities. The paper also addresses the underrepresentation of marginalized groups in AI development, which results in technologies that often fail to meet their needs or reflect their perspectives. Furthermore, AI-powered systems, such as facial recognition, disproportionately target marginalized communities, raising significant privacy and surveillance concerns. The risk of job displacement due to AI and automation is another key issue, especially for marginalized workers, though the paper notes that new job opportunities may emerge in AI-related fields. The digital divide is also highlighted as a major barrier, preventing marginalized populations from fully benefiting from AI advancements due to limited access to technology and digital education. AI can empower marginalized communities by amplifying their voices, supporting advocacy efforts, and identifying patterns of discrimination. Finally, the paper emphasizes the importance of cultural representation in AI, as these technologies can reinforce or challenge stereotypes. It concludes by arguing that responsible AI development—one that addresses bias and promotes equitable access—is crucial for ensuring AI benefits marginalized communities.
Presenters
Robert DoyleAssociate Professor and Director of MA in Religious Studies, Felician University, New Jersey, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Artificial Intelligence, Marginalized Communities, Ethics, Equity, Inclusion, Social Justice
