This chapter examines the impact of Covid-19 on residents of nursing homes and other long-term care institutions, how ageism and other factors shape that impact, and what this suggests for regulatory approaches to ensuring high-quality, long-term care. The paper shows that weak regulatory enforcement mechanisms, a failure to mandate minimum staffing requirements, and a willingness to tolerate inhumane conditions for older adults has led to a situation in which systemic neglect is the norm in nursing homes. It will then outline what an alternative, humane, and pandemic-resilient system for providing long-term care could look like going forward, and the regulatory changes needed to achieve this alternative approach.

This book is about how the technological advances in automation and artificial intelligence (AI) that have fundamentally changed the nature of the US markets for futures contracts and other derivatives are necessitating, in some areas, changes to the legal and regulatory framework for these markets. To arrive at policy solutions to address the ways that AI systems are altering the markets, this book examines how algorithmic robots – algo bots, for short – have largely taken over trading in the futures markets, analyzes how regulators have responded to these changes thus far, and explores what steps policy makers should take in the future. But before diving into any of those topics, allow me to put the societal impact of these advances in computer science technologies in a broader context, beyond finance and derivatives.