Inequality in Augmented Cognition

Addressing access gaps in cognitive enhancement.
Inequality in Augmented Cognition

The inequality in augmented cognition framework examines the risks and implications of access gaps between students who have access to cognitive-sensing devices, AI tutoring resources, and other cognitive augmentation technologies and those who do not, focusing on the potential for these technologies to create or exacerbate educational stratification. As cognitive-sensing devices, AI tutors, and other augmentation technologies become available, there's a risk that unequal access could create two-tier educational systems where students with access to augmentation technologies have significant advantages over those without, potentially widening achievement gaps and creating new forms of educational inequality. This research focuses on understanding these risks, developing strategies to ensure equitable access, and addressing the broader social implications of cognitive augmentation technologies in education.

This framework addresses fundamental questions about equity and access as educational technologies become more powerful and potentially transformative, where unequal access to augmentation technologies could create new forms of educational inequality. By examining these risks and developing strategies for equitable access, these frameworks can help prevent educational technologies from exacerbating inequality. Researchers, policy makers, educational institutions, and equity advocates are exploring these issues, with growing recognition of the need to address access gaps.

The framework is particularly significant as cognitive augmentation technologies become more available and effective, where ensuring equitable access could prevent these technologies from creating new forms of educational stratification. As these technologies advance, developing strategies for equitable access could become essential. However, ensuring affordable access, managing the costs of technology, creating sustainable models for equitable distribution, and addressing broader social inequalities remain challenges. The framework represents an important area of equity research, but requires ongoing attention and policy development to be effective.

TRL
4/9Formative
Impact
5/5
Investment
2/5
Category
Ethics & Security
Cognitive privacy, algorithmic fairness, and human agency safeguards.