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Machine learning, explained

close share links Machine learning is behind chatbots and predictive text, language translation apps, the shows Netflix suggests to you, and how your social media feeds are presented. It powers autonomous vehicles and machines that can diagnose medical conditions based on images.ย  When companies today deploy artificial intelligence programs, they are most likely using machine learning โ€”ย so much so that the terms are often used interchangeably, and sometimes ambiguously. Machine learning is ...
Boris Katz Arthur Samuel Joan Larovere Daniela Rus Robert Laubacher Aleksander Madry
Source: mit.edu

Should we let algorithms make life-and-death decisions?

Dec 16, 2020 ZURICH/LUGANO, Switzerland โ€“ Our geological epoch, the Anthropocene, in which mankind is shaping the fate of the planet, is characterized by existential threats. Some are addressed in action plans such as the U.N.โ€™s Sustainable Development Goals. But we seem to be caught between knowing that we should change our behavior and our entrenched habits. In an overpopulated world, many have asked, โ€œWhat is the value of human life?โ€ The COVID-19 pandemic has raised this is...
Frank Schatzing Roy Scranton Un Sustainable Development Goals Moral Machine Computational Social Science Business Ethics

DW DocFilm September 26, 2019 05:52:00

An accident film from a car a clipped with emergency brake assist. the sequence of events can be assessed in slow motion. the read be hit go ahead overlooks the upcoming traffic jam the brake lights appear but the distance sensor in this car registers to jam brakes and prevents a further collision. but which principles should guide decisions made by technology in an accident situation. in recent years mits media lab has been addressing the ethical questions raised by artificial intelligence. wha...
Emergency Brake Assist Car Registers Traffic Jam Brake Lights Read Be Hit Go Accident Situation

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