The paper Equity and Artificial Intelligence in Education: Will “AIEd” Amplify or Alleviate Inequities in Education? addresses a critical point of debate concerning the impact of AI in the realm of education. The authors, Kenneth Holstein and Shayan Doroudi, explore how the noble intentions to employ AI to advance educational equity face real-world challenges that may, paradoxically, exacerbate existing disparities.

Key perspectives discussed in this chapter include:

• The lofty goal of educational AI (AIEd) systems to scale one-on-one tutoring benefits to a wider audience.
• The risks of AIEd systems potentially amplifying the achievement gaps they aim to close.
• The utilization of four analytical lenses to examine why and how these risks may manifest.
• The proposal of pathways towards a more equitable AIEd future while considering the ongoing debates in the field.

In my view, this paper is an important contribution to the conversation on AI in education because it pushes for a nuanced understanding of technology’s impact on equity. The insights provided serve as a foundation for:

• Further investigation into the ethical design and deployment of AI in educational settings.
• Creating frameworks for inclusivity and fairness in AIEd systems.

Future research could explore the practical application of their proposed lenses in diverse educational environments, which could lead to the development of more equitable AI-driven educational tools.