人間の連帯は，真理の哲学的な探求によって可能となるものではない．他者への残酷さに対する感性を想像力によって拡張することで達成されるべき，目標なのだ．

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

世界中で脅かされている「自由」。この貴重な権利を獲得し、繁栄を謳歌した国々が人類史上稀なのはなぜか？　専横国家と無法社会に挟まれた「狭い回廊」に至る道とは？　『国家はなぜ衰退するのか』で注目を浴びた著者らが贈る新たな傑作。

All academics need to write, but many struggle to finish their dissertations, articles, books, or grant proposals. Writing is hard work and can be difficult to wedge into a frenetic academic schedule. How can we write it all while still having a life? In this second edition of his popular guidebook, Paul Silvia offers fresh advice to help you overcome barriers to writing and use your time more productively.

In the late 1850s, a physician in New York City used a syringe and glass tube to inject half a drop of sperm into a woman's uterus, marking the first recorded instance of artificial insemination. From that day forward, doctors and scientists have turned to technology in ever more innovative ways to facilitate conception. Fertility Technology surveys this history in all its medical, practical, and ethical complexity, and offers a look at state-of-the-art fertility technology in various social and political contexts around the world.