The inside story of the groundbreaking experiment that captured what people think about the life-and-death dilemmas posed by driverless cars. Human drivers don't find themselves facing such moral dilemmas as "should I sacrifice myself by driving off a cliff if that could save the life of a little girl on the road?" Human brains aren't fast enough to make that kind of calculation; the car is over the cliff in a nanosecond. A self-driving car, on the other hand, can compute fast enough to make such a decision--to do whatever humans have programmed it to do. But what should that be? This book investigates how people want driverless cars to decide matters of life and death. In The Car That Knew Too Much, psychologist Jean-François Bonnefon reports on a groundbreaking experiment that captured what people think cars should do in situations where not everyone can be saved. Sacrifice the passengers for pedestrians? Save children rather than adults? Kill one person so many can live? Bonnefon and his collaborators Iyad Rahwan and Azim Shariff designed the largest experiment in moral psychology ever: the Moral Machine, an interactive website that has allowed people --eventually, millions of them, from 233 countries and territories--to make choices within detailed accident scenarios. Bonnefon discusses the responses (reporting, among other things, that babies, children, and pregnant women were most likely to be saved), the media frenzy over news of the experiment, and scholarly responses to it. Boosters for driverless cars argue that they will be in fewer accidents than human-driven cars. It's up to humans to decide how many fatal accidents we will allow these cars to have.

The inside story of the groundbreaking experiment that captured what people think about the life-and-death dilemmas posed by driverless cars. Human drivers don't find themselves facing such moral dilemmas as "should I sacrifice myself by driving off a cliff if that could save the life of a little girl on the road?" Human brains aren't fast enough to make that kind of calculation; the car is over the cliff in a nanosecond. A self-driving car, on the other hand, can compute fast enough to make such a decision--to do whatever humans have programmed it to do. But what should that be? This book investigates how people want driverless cars to decide matters of life and death. In The Car That Knew Too Much, psychologist Jean-François Bonnefon reports on a groundbreaking experiment that captured what people think cars should do in situations where not everyone can be saved. Sacrifice the passengers for pedestrians? Save children rather than adults? Kill one person so many can live? Bonnefon and his collaborators Iyad Rahwan and Azim Shariff designed the largest experiment in moral psychology ever: the Moral Machine, an interactive website that has allowed people --eventually, millions of them, from 233 countries and territories--to make choices within detailed accident scenarios. Bonnefon discusses the responses (reporting, among other things, that babies, children, and pregnant women were most likely to be saved), the media frenzy over news of the experiment, and scholarly responses to it. Boosters for driverless cars argue that they will be in fewer accidents than human-driven cars. It's up to humans to decide how many fatal accidents we will allow these cars to have.

The inside story of the groundbreaking experiment that captured what people think about the life-and-death dilemmas posed by driverless cars. Human drivers don't find themselves facing such moral dilemmas as "should I sacrifice myself by driving off a cliff if that could save the life of a little girl on the road?" Human brains aren't fast enough to make that kind of calculation; the car is over the cliff in a nanosecond. A self-driving car, on the other hand, can compute fast enough to make such a decision--to do whatever humans have programmed it to do. But what should that be? This book investigates how people want driverless cars to decide matters of life and death. In The Car That Knew Too Much, psychologist Jean-François Bonnefon reports on a groundbreaking experiment that captured what people think cars should do in situations where not everyone can be saved. Sacrifice the passengers for pedestrians? Save children rather than adults? Kill one person so many can live? Bonnefon and his collaborators Iyad Rahwan and Azim Shariff designed the largest experiment in moral psychology ever: the Moral Machine, an interactive website that has allowed people --eventually, millions of them, from 233 countries and territories--to make choices within detailed accident scenarios. Bonnefon discusses the responses (reporting, among other things, that babies, children, and pregnant women were most likely to be saved), the media frenzy over news of the experiment, and scholarly responses to it. Boosters for driverless cars argue that they will be in fewer accidents than human-driven cars. It's up to humans to decide how many fatal accidents we will allow these cars to have.

In 1930s California, glamour and seduction spawn a multitude of sins in this New York Times bestseller from the author of Tightrope. At the exclusive Burning Cove Hotel on the coast of California, rookie reporter Irene Glasson finds herself staring down at a beautiful actress at the bottom of a pool.... The dead woman had something Irene wanted: a red-hot secret about an up-and-coming leading man—a scoop that may have gotten her killed. As Irene searches for the truth about the drowning, she’s drawn to a master of deception. Once a world-famous magician whose career was mysteriously cut short, Oliver Ward is now the owner of the Burning Cove Hotel. He can’t let scandal threaten his livelihood, even if it means trusting Irene, a woman who seems to have appeared in Los Angeles out of nowhere four months ago. With Oliver’s help, Irene soon learns that the glamorous paradise of Burning Cove hides dark and dangerous secrets. And that the past—always just out of sight—could drag them both under....

Food blogger Hope Early takes on a cold case that's heating up fast . . . Building on her recipe for success with her food blog, Hope at Home, Hope is teaching her first blogging class at the local library in Jefferson, Connecticut. She’s also learning about podcasts, including a true-crime one called Search for the Missing, hosted by Hope's childhood friend, Devon Markham. Twenty years ago on Valentine's Day, right here in Jefferson, Devon's mom disappeared and was never found. Finally Devon has returned to solve the mystery of what happened to her mother—and she asks Hope to help. The next day Hope discovers Devon's apartment has been ransacked. Her laptop with the research on her mother's cold case is missing, and Devon is nowhere to be found. When her friend's body is later discovered in a car wreck, Hope is convinced it's no accident. Clearly, Devon was too close to the truth, and the cold-blooded killer is still at large in Jefferson. Now it's up to Hope to find the guilty party—before the food blogger herself becomes the next subject of another true-crime podcast . . . Includes Recipes from Hope’s Kitchen!

This is a powerful and inspirational story about a young baseball prodigy who, at the age of two, began sharing vivid memories of being a baseball player in the 1920s and 30s. Christian Haupt described historical facts about Lou Gehrig that he could not have possibly known at the time. Distraught by their son's uncanny revelations, his parents embarked on a sacred journey of discovery that shook their beliefs to the core and forever changed their views on life and death.

A "skillful and literate" (New York Times Book Review) biography of the persecuted genius who helped create the modern computer. To solve one of the great mathematical problems of his day, Alan Turing proposed an imaginary computer. Then, attempting to break a Nazi code during World War II, he successfully designed and built one, thus ensuring the Allied victory. Turing became a champion of artificial intelligence, but his work was cut short. As an openly gay man at a time when homosexuality was illegal in England, he was convicted and forced to undergo a humiliating "treatment" that may have led to his suicide. With a novelist's sensitivity, David Leavitt portrays Turing in all his humanity—his eccentricities, his brilliance, his fatal candor—and elegantly explains his work and its implications.