Language teaching, AI and the Hispano-Lusophone Global South
(Roundtable)Marcelino Issa da Cunha (Universidade Federal do Rio Grande do Sul)
Dauda Ansu Cassamá (Universidade Federal de Santa Maria)
The era of Generative Artificial Intelligence (AI) imposes new challenges and opportunities for language teaching. Often, AI tools are trained predominantly on data from the Global North, which can reproduce colonial biases, standardize dialects, and prioritize hegemonic linguistic norms. In line with NeMLA 2027's theme, "Empowering Communities," this roundtable invites researchers, educators, and activists to reflect on how decolonial approaches and translanguaging pedagogies can subvert these algorithmic logics within Hispanic and Lusophone studies.
We seek proposals that investigate practices in and from the Global South that use, adapt, or critically question AI tools in language classrooms, regardless of the target language. What methodological strategies can we adopt to ensure that technologies act as allies in valuing linguistic plurality, rather than agents of cultural erasure?
We welcome proposals for short presentations that address topics such as, but not limited to:
· Critical AI literacy in language teaching and learning environments.
· Active methodologies that interconnect AI tools with translanguaging practices.
· Epistemological resistance and the identification/mitigation of algorithmic biases.
· The development of decolonial curricula or teaching materials supported by (or in opposition to) emerging technologies.