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Preface and Acknowledgements1 An Overview2 Robots and their Economic Significance3 The impact of Robotization on Production Processes and its Rudimentary Economic Implications 4 Machine Learning and the Economy5 Robotization, the Economy and the Labour Market: A Look at Theoretical and Empirical Studies6 Managing the AI Revolution through Policy: A Nuts-and-Bolts Approach7 The Immediate Future in the Light of Covid and the Bottom LineIndex

Secondary State-level data for India show that neither 'female literacy' or 'percentage of births attended by qualified medical professional' is a significant determinant of maternal mortality when both are included in the regression analysis. However, when one variable is dropped, the other is significant. Moreover, the coefficient of correlation between the two is positive and more than 0.8. If female literacy positively determines 'percentage of births attended by medical professionals' then one can conclude that the latter is more a demand constrained phenomenon rather than a supply constrained one. Indeed it would be a great coincidence if the supply of qualified medical professionals is found to be greater in regions where female literacy is higher, since health continues to be a predominantly public subject, especially in rural areas. Two policy implications can follow: a strategy to increase female literacy so as to reduce maternal mortality, or public action to promote deliveries attended by qualified medical personnel.

As is well known, three measures of the quality of human life and human capabilities-life expectancy, literacy and income, comprise the building blocks of the Human Development Index (HDI). HDI and related statistics are presented here for Indian States. Almost all the States of India showed a monotonie increase in per capita income, literacy and HDI over time, from 1970 to 1998, though the same could not be said of life expectancy. While States with a higher per capita income did not necessarily exhibit higher HDI values, in general, economic development over time was accompanied by an improvement in the HDI. Significantly, inter State disparities in the HDI were found to decrease over time. Per capita income disparities increased, and literacy disparities narrowed down.

Much of the corruption that we encounter in public life is circumstantial. That is, government servants turn corrupt in order to recoup the huge expenses that they have themselves had to incur, due to bribes they had to pay to get government jobs, costs exacted by social evils such as dowry, or corruption that the government servants themselves encountered at the entry points of other markets. A strategic policy for reducing corruption therefore should concentrate on making the entry points clean rather than spending resources thinly on curbing corruption everywhere.

Abstract
Behavioural public policy is increasingly interested in scaling-up experimental insights to deliver systemic changes. Recent evidence shows some forms of individual behaviour change, such as nudging, are limited in scale. We argue that we can scale-up individual behaviour change by accounting for nuanced social complexities in which human responses to behavioural public policies are situated. We introduce the idea of the 'social brain', as a construct to help practitioners and policymakers facilitate a greater social transmission of welfare-improving behaviours. The social brain is a collection of individual human brains, who are connected to other human brains through 'social cues', and who are affected by the material and immaterial properties of the physical environment in which they are situated ('social complex'). Ignoring these cues and the social complex runs the risk of fostering localised behavioural changes, through individual actors, which are neither scalable nor lasting. We identify pathways to facilitate changes in the social brain: either through path dependencies or critical mass shifts in individual behaviours, moderated by the brain's property of social cohesion and multiplicity of situational and dispositional factors. In this way, behavioural changes stimulated in one part of the social brain can reach other parts and evolve dynamically. We recommend designing public policies that engage different parts of the social brain.