1 Artificial intelligence in our lives Listening: Artificial talks You are going to listen to three conversations where different people describe personal experiences with artificial intelligence. First you will have 45 seconds to study the task below, then you will hear the recording twice. While listening, match the beginnings of the sentences (1–8) with the sentence endings (A–K). There are two sentence endings that you should not use. Write your answers in the boxes provided. The first one (0) has been done for you. 0 AI is great at finding illnesses … D✔ A treatments work better and can save lives. 1 Finding sickness early means … B they really want something or if the computer is making them think they do. 2 Dr Mitchell thinks doctors and AI together … C learn a lot about what we like. 3 The interviewee likes her self-driving car … D because it spots sickness early. 4 The woman feels these cars … E primarily on highways. 5 At first, she wasn’t sure, but now she thinks … F might be safer and cause fewer crashes. 6 Online stores using AI to suggest products … G will be big in future medicine. 7 Some people have worries that such shops … H and may influence unplanned purchases. 8 Customers should pay close attention if … I self-driving cars are the future. J might make us buy stuff we didn’t plan to. K because it helps when she’s busy with her kids or needs a break. AI use cases a) The three use cases for AI mentioned in the listening above can be assigned to common AI technologies. Write them into the chart below. It contains six categories, but not all AI technologies there are. 1 02c 2 images analysed by AI in medicine AI-driven recommendations in online shopping self-driving cars Computer vision Robotics Recommendation systems This is like teaching computers to understand pictures and videos. In hospitals, it helps find problems or sicknesses in these pictures. This is about making robots do jobs on their own without people helping. These give ideas on what people might like by looking at what people buy or like to suggest other stuff they might want. self-driving cars Natural language processing Predictive analytics Speech recognition This deals with the interaction between computers and human language, like an automated chatbot. These systems make predictions about future outcomes based on historical data, for example in weather forecasting. These systems can understand and transcribe spoken language. Examples include voice assistants like Siri or Alexa. 16 Digitalisation Nur zu Prüfzwecken – Eigentum des Verlags öbv
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