Bridging the Divide: Addressing the Resistance to AI Adoption Among the Underrepresented

Type of Presentation

Individual paper/presentation

Conference Strand

Diversity and Inclusion

Target Audience

Higher Education

Second Target Audience

Other

The information can be useful to all audiences

Relevance

With the increase of AI in education, educating students as well as instructors on the benefits, usage, and problems with AI is essential. With the excitement around AI’s capabilities, the question often overlooked is AI and Diversity, Equity, and Inclusion. AI is meant to remove human bias. However, algorithms and databases are compiled using data created by society which is wrought with biases. Moreover, the question should be addressed if this is the issue of why there is an AI adoption gap or if how these AI databases are constructed is not entirely inclusive. In either case, it would be dismissive not to investigate this aspect of Information Literacy in order to adopt and adapt AI in an ethical and inclusive way to benefit all learners.

Proposal

AI is increasingly integrating into our lives and educational settings by opening communication doors and providing limitless options for creativity. However, students, faculty, and staff of diverse backgrounds and access may vary in their adoption and application of AI technologies. Existing research has identified disparities in AI adoption. For example, a Pew Research survey indicated that men are more likely to use ChatGPT, with 29% versus 19% of women (PRC, 2023). Why is this?

Additionally, many AI programs have been shown to sometimes have racial disparities built into their algorithms. ChatGPT demonstrated that the software “was more likely to associate European American names with pleasant words such as “gift” or “happy,” while African American names were more commonly associated with unpleasant words” (Guardian, 2017). Furthermore, there is evidence to suggest there are inequities ranging from issues with economic access with many premium AI features behind paywalls to concerns that people with disabilities have, which has dissuaded some people from adopting AI (APA, 2023). This presentation will explore the concerns and dynamics of adopting artificial intelligence (AI) in our lives and educational settings. We will engage and discuss these concerns and dynamics with attendees looking at issues with diversity, inclusion, and accessibility. Ultimately, this presentation seeks to foster an environment where all individuals can positively engage and feel included and empowerd by artificial intelligence in shaping the future of learning.

Short Description

Bridging the Divide: Examining Gender and Ethnic Disparities in AI Adoption within Educational Contexts uncovers the gaps in AI usage, racial biases embedded in algorithms, economic disparities hindering access, and concerns for people with disabilities. Engage in a dynamic discussion on fostering inclusivity, diversity, and accessibility in AI, aiming to empower every individual in shaping the future of learning.

Keywords

Artificial Intelligence (AI), Integration in Education, Communication, AI Technologies. Diverse Backgrounds, Access Disparities, AI Adoption Disparities, Gender Disparities, ChatGPT Usage, Racial Disparities in Algorithms, Bias in AI Programs, Economic Access, Inequities in AI Adoption, Issues with Diversity Inclusion, Accessibility, Inclusion, Empowerment

Publication Type and Release Option

Presentation (Open Access)

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Apr 19th, 12:45 PM Apr 19th, 1:30 PM

Bridging the Divide: Addressing the Resistance to AI Adoption Among the Underrepresented

AI is increasingly integrating into our lives and educational settings by opening communication doors and providing limitless options for creativity. However, students, faculty, and staff of diverse backgrounds and access may vary in their adoption and application of AI technologies. Existing research has identified disparities in AI adoption. For example, a Pew Research survey indicated that men are more likely to use ChatGPT, with 29% versus 19% of women (PRC, 2023). Why is this?

Additionally, many AI programs have been shown to sometimes have racial disparities built into their algorithms. ChatGPT demonstrated that the software “was more likely to associate European American names with pleasant words such as “gift” or “happy,” while African American names were more commonly associated with unpleasant words” (Guardian, 2017). Furthermore, there is evidence to suggest there are inequities ranging from issues with economic access with many premium AI features behind paywalls to concerns that people with disabilities have, which has dissuaded some people from adopting AI (APA, 2023). This presentation will explore the concerns and dynamics of adopting artificial intelligence (AI) in our lives and educational settings. We will engage and discuss these concerns and dynamics with attendees looking at issues with diversity, inclusion, and accessibility. Ultimately, this presentation seeks to foster an environment where all individuals can positively engage and feel included and empowerd by artificial intelligence in shaping the future of learning.