Artificial intelligence, or AI, is everywhere these days, from self-driving cars and voice-activated software like Siri and Alexa. It's being used in fields from criminal justice to finance. So this year in All Tech Considered, we're going to spend some time exploring AI. Its leadership wants to dominate the tech world. It's one way China can beat possible competitors and adversaries.
Scientists have developed a computer model that breaks through a key test used to tell a human from a bot. Text-based CAPTCHAs, a rough acronym for Completely Automated Public Turing Test To Tell Computers and Humans Apart, are groups of jumbled characters along with squiggly lines and other background noise.
He's sitting inside a dimly lit reading room, looking at digital images from the CT scan of a patient's chest, trying to figure out why he's short of breath. Health care companies like vRad, which has radiologists analyzing 7 million scans a year, provide data to partners that develop medical algorithms. Chief Medical Officer Eldad Elnekave says computers can detect diseases from images better than humans because they can multitask -- say, look for appendicitis while also checking for low bone density. Radiologist John Mongan is researching ways to use artificial intelligence in radiology.
The Gambian team's robot, a cube-shaped device about the size of a large microwave, is designed to separate balls that represent water particles and balls that represent water contaminants and deliver them to different places. Fatoumata Ceesay of team Gambia displays her country's flag at the First Global Challenge. Fatoumata Ceesay of team Gambia displays her country's flag at the First Global Challenge. Gassama hopes she and Ceesay will inspire other Gambian girls to become interested in technology -- and look for solutions to some of Gambia's problems such as getting access to clean water for everyone.
Good teachers meet their students where they are, and they adapt their methods accordingly. Tutoring systems, language learning apps, and educational games are all designed to change our mental abilities. It's when we consider what it takes to change mental abilities or behaviors that things start to get interesting. It isn't just that people adapt to technology, and that technology adapts to people.
The big problem AI faces is not the intelligence part, really. Finally, at the end of the day, even the smartest computers are tools, our tools -- and their intentions are our intentions. We'd be thrown back into the 19th century, as Dennett says. We first find ourselves in the archaeological record precisely there where we see a great exposition of tools, technologies, art-making and also linguistic practices.
A search program that has a word embedding algorithm plugged into it can bring resumes that contain more of these related words up to the top of the search pile, hopefully helping you to find the most qualified candidates without having to read through every single document. Word embeddings do similar work in computer programs that we interact with every day -- programs that target ads at us, decide what we see on social media, or work to improve Internet search results. But here's the problem: These word embeddings learn the relationships between words by studying human writing -- like the hundreds of thousands of articles on Wikipedia or Google News. For Kalai, the problem is not that people sometimes use word embedding algorithms that differentiate between gender or race, or even algorithms that reflect human bias.