References
- Agrawal, A., J. Gans, and A. Goldfarb. 2022. Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence. Boston: Harvard Business Press.
- Alkire, S., J. M. Roche, P. Ballon, J. Foster, M. E. Santos, and S. Seth. 2015. Multidimensional Poverty Measurement and Analysis. Oxford: Oxford University Press.
- Anand, P. Forthcoming. How to Create Impact. London: Sage.
- Anand, P., G. Hunter, and R. Smith. 2005. “Capabilities and Well-Being: Evidence Based on the Sen–Nussbaum Approach to Welfare.” Social Indicators Research 74 (1): 9–55. https://doi.org/10.1007/s11205-005-6518-z.
- Dollar, D., and R. Gatti. 1999. Gender Inequality, Income, and Growth: Are Good Times Good for Women? Vol. 1. Washington, DC: Development Research Group, The World Bank.
- Floridi, L., J. Cowls, M. Beltrametti, R. Chatila, P. Chazerand, V. Dignum, C. Luetge, et al. 2018. “AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations.” Minds and Machines 28 (4): 689–707. https://doi.org/10.1007/s11023-018-9482-5.
- Robeyns, I. 2005. “The Capability Approach: A Theoretical Survey.” Journal of Human Development 6 (1): 93–117. https://doi.org/10.1080/146498805200034266.
- Sen, A. 1999. Development as Freedom. New York: Alfred Knopf.