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04- Class 4: How Does AI Learn?

Class Summary

In our fourth session on August 24, we explored how AI language models learn, how they derive meaning, and where their knowledge originates. We also examined the social risks these systems might generate, with particular focus on issues of bias and polarization.

Dipositivas Clase 4

During the session, we conducted practical activities using ready-to-use classroom materials – including unplugged (offline) exercises – and demonstrated how to implement them on the EDIA platform.

Worksheet we worked with

Next week, we’ll be sending out an asynchronous activity that serves as both practice and the final assignment.

We’re also opening an optional virtual Q&A session before the next in-person meeting. This space will be available for anyone who needs help with specific questions.

We’re nearing the finish line – we hope you’re enjoying the journey so far!

Featured Learning Resources:

Read an article from El País: “Two Latin American academics – Argentina’s Luciana Benotti and Chile’s Jocelyn Dunstan – explain why Hispanic efforts to expand language models beyond English are crucial.” Read here.

E.D.I.A

¿Puede la inteligencia artificial tener sesgos y estereotipos?

Creemos que sí. Para eso creamos una herramienta para que puedas sin conocimientos técnicos auditarla.

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