Nathaniel Cain

This brief delves into the intricacies of the current Affirmative Action Supreme Court Cases. It evaluates the legal battles of Harvard and UNC and how the Court decided on the fate of race in college admissions. The brief also explains the far-reaching implications of the ruling and how the future of college admissions will change.

AI has grown from a concept to a full-blown field, proving to develop the most in computer science. AI learning is the ability to solve more and more complex scenarios. Recently, we have seen Generative AI like Chat-GPT come into question in education. Students are using AI for good and bad uses, which has brought concern to educators on how they can effectively manage AI in education. This brief evaluates the relatively new role of AI in education and what policies can address questions and concerns in education.

Race-based admissions at universities exemplify the intricate and evolving nature of affirmative action policies, with these universities encountering legal battles to shape the guidelines considering race within admissions. These debates and experiences have far-reaching implications for the future of affirmative action policies by shaping the landscape of diversity and inclusion in higher education.