CODED BIAS: explores the fallout of MIT Media Lab researcher Joy Buolamwini’s discovery that facial recognition does not see dark-skinned faces accurately, and her journey to push for the first-ever legislation in the U.S. to govern against bias in the ---algorithms that impact us all. Following the screening there will be a debate with an […]
Machine learning (ML) systems have become an essential tool for experts of many domains, data scientists, and researchers, helping them to find answers to many complex business questions starting from raw datasets. Nevertheless, the development of ML systems able to satisfy the stakeholders' needs requires an appropriate amount of knowledge about the ML domain. Over […]
Language technologies such as large language models are increasingly present in our lives. In this talk, I will share some of my thinking that is helping me navigate this moment. I will start by discussing work from fields that have engaged deeply with language and society—e.g., sociolinguistics, linguistic anthropology, and education—illustrating how their insights are […]
In this talk, I intend to discuss ethical problems raised by the implementation of gender-related biases in the design of social robots. Mainly, I argue that considerable moral risks are attached to this design practice, so that great caution is advised. As social robots are increasingly adopted and their interaction skills perfected, it is important […]