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Jul 2024
41m 2s

Carl Öhman, "The Afterlife of Data: What...

NEW BOOKS NETWORK
About this episode

A short, thought-provoking book about what happens to our online identities after we die.

These days, so much of our lives takes place online—but what about our afterlives? Thanks to the digital trails that we leave behind, our identities can now be reconstructed after our death. In fact, AI technology is already enabling us to “interact” with the departed. Sooner than we think, the dead will outnumber the living on Facebook. In this thought-provoking book, Carl Öhman explores the increasingly urgent question of what we should do with all this data and whether our digital afterlives are really our own—and if not, who should have the right to decide what happens to our data.

The stakes could hardly be higher. In the next thirty years alone, about two billion people will die. Those of us who remain will inherit the digital remains of an entire generation of humanity—the first digital citizens. Whoever ends up controlling these archives will also effectively control future access to our collective digital past, and this power will have vast political consequences. The fate of our digital remains should be of concern to everyone—past, present, and future. Rising to these challenges, Öhman explains, will require a collective reshaping of our economic and technical systems to reflect more than just the monetary value of digital remains.

As we stand before a period of deep civilizational change, The Afterlife of Data: What Happens to Your Information When You Die and Why You Should Care (U Chicago Press, 2024) will be an essential guide to understanding why and how we as a human race must gain control of our collective digital past—before it is too late.

Jake Chanenson is a computer science Ph.D. student and law student at the University of Chicago. Broadly, Jake is interested in topics relating to HCI, privacy, and tech policy. Jake’s work has been published in top venues such as ACM’s CHI Conference on Human Factors in Computing Systems.

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