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Artificial Intelligence, Gender, Race, Culture, and Environmental Justice in Education: An Intersectional Analysis of Bias, Equity, and Sustainability Globally

Wed, April 23, 2:30 to 4:00pm MDT (2:30 to 4:00pm MDT), The Colorado Convention Center, Floor: Terrace Level, Bluebird Ballroom Room 2A

Session Type: Structured Poster Session

Abstract

Artificial Intelligence (AI) has rapidly integrated into various facets of modern life, promising efficiency and innovation. However, concerns about AI perpetuating and even exacerbating racism have emerged, especially among underrepresented college students. The biases in AI systems often mirror the prejudices in the data they are trained on, leading to discriminatory outcomes. This raises significant questions about trust and equity. How can students, particularly those from marginalized backgrounds, place their faith in technologies that may inadvertently reinforce existing inequalities? Addressing this issue involves scrutinizing AI development processes, ensuring diverse representation in tech fields, and advocating for transparency and accountability. By doing so, we can work towards a future where AI serves all communities fairly and justly.

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