Normare la vita. Biocontrollo e nuove tecnologie

Questa ricerca, suddivisa in due parti, si concentra sulle problematiche connesse alla normazione della vita e dei corpi delle donne al tempo delle biotecnologie. La Parte I è una genealogia filosofico-politica che ripercorre le tappe analitico-concettuali del dibattito intorno a biopolitica e tecnoscienza, a partire dai contributi teorici di poststrutturalismo e femminismo neomaterialista, e risponde alle domande: Cosa sono diventati i corpi nell’attuale società bio-info-modificata? Qual'è il ruolo delle scienze nelle metamorfosi che interessano soggettività e rapporti di potere? La Parte II è una cartografia dei modi in cui le biotecnologie, riguardanti i corpi delle donne, si sono sviluppate e diffuse. Essa indaga in modo transdisciplinare come in Italia, e più in generale in Europa, sono state normate le tecniche di interruzione volontaria di gravidanza e fecondazione in vitro. Ampio spazio è dedicato ai modi in cui gli attori della bioetica, istituzionale e non, i medici, laici e cattolici, e le case farmaceutiche hanno affrontato questi temi e quello della contraccezione ormonale maschile. Medicina riproduttiva e rigenerativa sono tematizzate sempre in relazione al quadro normativo, per mostrare in che modo esso influenzi l’accesso ai diritti alla salute e all’autodeterminazione delle donne. Il quadro normativo è analizzato, a sua volta, alla luce dei fatti storici più rilevanti e delle culture più diffuse. L’obiettivo della ricerca è duplice: da un lato essa ha il fine di mostrare il modo in cui i corpi delle donne, e la relativa potenza generatrice, siano diventati uno snodo fondamentale nell’articolazione del biocontrollo e nell'apertura dei nuovi mercati legati a medicina riproduttiva e rigenerativa; dall’altro si propone di argomentare come un biodiritto flessibile, a contenuto storico variabile, condiviso e partecipato, sia un’ipotesi praticabile e virtuosa, utile all'eliminazione del gender gap ancora esistente in materia di diritti riproduttivi e sessuali.

Mind the gaps: cognitive-inspired AI for high-level visual sensemaking. Towards abstract concept image classification

The abundance of visual data and the push for robust AI are driving the need for automated visual sensemaking. Computer Vision (CV) faces growing demand for models that can discern not only what images "represent," but also what they "evoke." This is a demand for tools mimicking human perception at a high semantic level, categorizing images based on concepts like freedom, danger, or safety. However, automating this process is challenging due to entropy, scarcity, subjectivity, and ethical considerations. These challenges not only impact performance but also underscore the critical need for interoperability. This dissertation focuses on abstract concept-based (AC) image classification, guided by three technical principles: situated grounding, performance enhancement, and interpretability. We introduce ART-stract, a novel dataset of cultural images annotated with ACs, serving as the foundation for a series of experiments across four key domains: assessing the effectiveness of the end-to-end DL paradigm, exploring cognitive-inspired semantic intermediaries, incorporating cultural and commonsense aspects, and neuro-symbolic integration of sensory-perceptual data with cognitive-based knowledge. Our results demonstrate that integrating CV approaches with semantic technologies yields methods that surpass the current state of the art in AC image classification, outperforming the end-to-end deep vision paradigm. The results emphasize the role semantic technologies can play in developing both effective and interpretable systems, through the capturing, situating, and reasoning over knowledge related to visual data. Furthermore, this dissertation explores the complex interplay between technical and socio-technical factors. By merging technical expertise with an understanding of human and societal aspects, we advocate for responsible labeling and training practices in visual media. These insights and techniques not only advance efforts in CV and explainable artificial intelligence but also propel us toward an era of AI development that harmonizes technical prowess with deep awareness of its human and societal implications.

Escaping the debt trap: peripheral countries in prolonged debt crises and how to exit

This thesis is an interdisciplinary piece of academic research, situated within Critical Theory but engaging with other disciplines, mainly Political Economy and Politics, to tackle the topic at hand; sovereign debt crises. The thesis deals with the Problem of Debt and, more specifically, the Problem of Prolonged Sovereign Debt Crises, which is described in this thesis as the phenomenon of the “Debt Trap”. The specific question that will occupy us in this thesis is why countries appear unable to exit these prolonged debt crises. By exiting a debt crisis, we mean here a state of affairs in which a country has managed to render its debt sustainable, regain its democratic sovereignty, achieve economic recovery and, what is more, mitigate adverse effects of the crisis, especially in what human development, social inequality and poverty rates are concerned. This question is tackled through the use of an interdisciplinary approach that combines critical theory perspectives -which are grouped in two paradigms, the Subjectivity paradigm and the genealogies of Capitalism paradigm- with financialisation literature. The purpose is to form an interdisciplinary intellectual framework that will allow us to analyse with a critical perspective the two case studies of the Greek crisis from 2009 to 2015 and the Argentinean crisis from 1983 to 2005. The aim of the thesis is to develop a theoretical framework that allows us to deconstruct the various ideological approaches to these two particular cases of Debt traps, including neoclassical and neoliberal approaches, Conservative and Keynesian approaches and uncover the political, economic and class relation that underpin the prolonged crises that the two countries have experienced.