The capability approach developed by Nobel Laureate Amartya Sen has become an important new paradigm in thinking about development. However, despite its theoretical and philosophical attractiveness, it has been less easy to measure or to translate into policy. This volume addresses these issues in the context of poverty and justice. Part I offers a set of conceptual essays that debate the strength of the often misunderstood individual focus of the capability approach. Part II investigates the techniques by which we can (...) measure and compare capabilities, and how we can integrate them into poverty comparisons and policy advice. Finally, Part III looks at how we can apply the capability approach to different regions and contexts. Written by a team of international scholars, The Capability Approach is a valuable resource for researchers and graduate students concerned with the debate over the value of the capability approach and its potential applications. (shrink)

Among the myriad of technical approaches and abstract guidelines proposed to the topic of AI bias, there has been an urgent call to translate the principle of fairness into the operational AI reality with the involvement of social sciences specialists to analyse the context of specific types of bias, since there is not a generalizable solution. This article offers an interdisciplinary contribution to the topic of AI and societal bias, in particular against the poor, providing a conceptual framework of the (...) issue and a tailor-made model from which meaningful data are obtained using Natural Language Processing word vectors in pretrained Google Word2Vec, Twitter and Wikipedia GloVe word embeddings. The results of the study offer the first set of data that evidences the existence of bias against the poor and suggest that Google Word2vec shows a higher degree of bias when the terms are related to beliefs, whereas bias is higher in Twitter GloVe when the terms express behaviour. This article contributes to the body of work on bias, both from and AI and a social sciences perspective, by providing evidence of a transversal aggravating factor for historical types of discrimination. The evidence of bias against the poor also has important consequences in terms of human development, since it often leads to discrimination, which constitutes an obstacle for the effectiveness of poverty reduction policies. (shrink)

Approaches to well-being have been hotly debated across the social sciences, with most challenging the conventional economic approach which uses income as a key indicator of happiness. This volume compares and contrasts two such approaches, the Capability and Happiness Approach, via a series of interdisciplinary papers from top names in the field.

This paper clarifies why bias cannot be completely mitigated in Machine Learning (ML) and proposes an end-to-end methodology to translate the ethical principle of justice and fairness into the practice of ML development as an ongoing agreement with stakeholders. The pro-ethical iterative process presented in the paper aims to challenge asymmetric power dynamics in the fairness decision making within ML design and support ML development teams to identify, mitigate and monitor bias at each step of ML systems development. The process (...) also provides guidance on how to explain the always imperfect trade-offs in terms of bias to users. (shrink)

For over three decades, the capability approach proposed and developed by Amartya Sen and Martha Nussbaum has had a distinct impact on development theories and approaches because it goes beyond an economic conception of development and engages with the normative aspects of development. This book explores the new frontiers of the capability approach and its links to human development in three main areas. First, it delves into the philosophical foundations of the approach, re-examining its links to concepts of common good, (...) collective agency and epistemic diversity. Secondly, it addresses its 'operational frontier', aiming to give inclusive explanations of some of the most advanced methods available for capability researchers. Thirdly, it offers a wide range of the applications of this approach, as carried out by a mix of renowned capability scholars and researchers from different disciplines. This broad interdisciplinary range includes the areas of human and sustainable development, inequalities, labour markets, education, special needs, cities, urban planning, housing, social capital and happiness studies, among others. (shrink)