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 […]
Discrimination due to the automated processes of artificial intelligence systems is more than a hypothesis; it is a fact. The autonomy and opacity that characterise this technology give a particular dimension to the phenomenon, requiring new formulas in order to ensure adequate protection of the right to equality as an inalienable human and fundamental principle. […]
In the era of the fourth industrial revolution, AI, machine learning, and blockchain have reshaped human behavior and interactions, prompting organizations to adapt to changing market demands. While technology offers new opportunities, it also poses challenges, reflecting our values and biases. AI serves as a mirror, revealing truths about society and individuals, calling for responsibility […]
a project with Laura State and Atoosa Kasirzadeh Explainable Artificial Intelligence (XAI) is a rapidly growing research field that has received a lot of attention during the last years. An important goal of the field is to use methods to detect (social) bias and discrimination. Despite these positive intentions, aspects of XAI can be in […]