Ergebnis für "Arbeiten" in Computer & Technologie

Stell dir vor, es ist Arbeit – und keiner muss hin. Denn deinen Job übernimmt die Künstliche Intelligenz. Schon heute koordiniert KI die Bevorratung im Lager, baut für uns Präsentationen oder diagnostiziert Tumore. Und das ist erst der Anfang. Längst ist klar: Künstliche Intelligenz hat das Potential für sehr große Veränderungen. KI plant nicht nur unsere Reisen und schlägt uns die nächste Serie vor, sondern schmeißt auch unsere Arbeitswelt um. Ein bedeutender und durchaus besorgniserregender Umbruch, aber einer, der genau zum richtigen Zeitpunkt kommt.

From mechanical looms to the combustion engine to the first computers, new technologies have always provoked panic about workers being replaced by machines. For centuries, such fears have been misplaced, and many economists maintain that they remain so today. But as Daniel Susskind demonstrates, this time really is different. Breakthroughs in artificial intelligence mean that all kinds of jobs are increasingly at risk.

With the exception of sleep, humans spend more of their lifetimes on work than any other activity. It is central to our economy, our society, and the family. It underpins our finances and our sense of meaning in life. Given the overriding importance of work, we need to recognize a profound transformation in the nature of work that is significantly altering lives: the incoming tidal wave of shadow work. Shadow work includes all the unpaid tasks we do on behalf of businesses and organizations.

In Programmed Inequality, Marie Hicks explores the story of labor feminization and gendered technocracy that undercut British efforts to computerize. Women were a hidden engine of growth in high technology from World War II to the 1960s. As computing experienced a gender flip, labor problems grew into structural ones, and gender discrimination caused the nation's largest computer user to make decisions that were disastrous for the British computer industry and the nation as a whole.

One in three American workers is now a freelancer. This “gig economy” - one that provides neither the guarantee of steady hours nor benefits - emerged out of the digital era and has revolutionized the way we do business. High-profile tech start-ups such as Uber and Airbnb are constantly making headlines for the disruption they cause to the industries they overturn. But what are the effects of this disruption, from Wall Street down to Main Street? What challenges do employees and job seekers face at every level of professional experience?