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 […]
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 […]
With pretrained language models and generative AI systems, machine learning is being embedded into the social fabric at an ever-increasing pace. However, how such socio-technical objects come to engage with society remains less understood. In this talk, I will explore the phrenological heritage of machine learning, how the distributional hypothesis affords creating fictions of humanity, […]
Why is feminism relevant for research in AI, and how can the two be combined? This workshop is providing a (short) theoretical introduction to the topic, followed by a research ideation task where participants can use the acquired knowledge to generate new ideas, and reflect on the relation between their own research and feminism. It […]
Presentazione e dibattito su pregiudizi sociali e algoritmici, con particolare attenzione alla prospettiva linguistica. L'evento si terrà in italiano, ed è organizzato assieme a Fuori Genere L'Aquila. Round-table discussing the topic of Bias in AI, with particular emphasis on linguistics bias. This event will be held in Italian since it is meant as a dissemination […]
Social networks are complex by nature, and the position of individuals in them is consequential for a variety of decision-making processes. Connections between individuals are driven by different tie formation mechanisms that can explain the various structures embedded in social networks. These driving mechanisms are often the key ingredients of social and algorithmic processes, which […]
Gender bias in education has gained considerable attention in recent years, as it carries profound implications for the academic community. However, while the problem has been tackled from a student perspective, research is still lacking from an academic point of view. This presentation aims to bridge this research gap by shedding light on the complex […]
The study aims at reinterpreting some sociolinguistic phenomena according to queer and non-binary paradigms, with the help of cyberfeminism and posthuman theories. This theoretical approach is based on the question posed by feminist theorists such as Rosi Braidotti and Donna Haraway whether posthumanism could be a possible mean for escaping the binary gender system. The […]