课时作业（九）必修第二册 Unit 3 The Internet-【学易优】2024年高考英语一轮总复习课时分层突破（人教版）

课时作业 课时作业（九）， 必修第二册 Unit 3 The Internet I.阅读理解 Alphonso proves that devices can listen to A what you say and do.Now,what's to stop devices It's a conneeted world,and nearly every from gathering other data?They can be made to device,appliance,and machine with some sort of look at chat and text messages or your calendar. computer running inside it can be connected to for example.everything about you would be fair others through the Internet of Things (loT).What game.Some popular smart home platforms can control the platforms to fall silent but still remain a great leap forward in this journey we call human active,capturing every word you speak that can civilization!But does this recent advancement potentially land you in some sort of phishing come with a dark secret that can someday turn on 欺诈)trouble..This seems to be the price we have us?Are smart devices spies around us? to pay for the convenience that technology gives Many smart appliances today,particularly us.Privacy seems non-existent.So we should thus smartphones and virtual assistants are equipped take steps to protect ourselves from this eventuality. with voice command capabilities.They can, 1.What can we infer about loT mentioned in therefore,listen to and record your comments and Paragraph 1? conversations even after they've carried out your A.People rely too much on IoT. original command.Concerns about devices turning B.IoT spies are exactly among us. on voice command by themselves and listening C.loT can be a double-edged sword. even when you do not enable the feature have also D.loT merely comes with a dark secret. been raised.The question then is:What actually 2.What is the potential risk associated with smart happens when your smart device is listening?How devices? A.Voice command capabilities much information gets recorded,and where does B.Personal data and identity theft. this eventually end up in? C.Original command recognition. Take a listening app called“Alphonso'”asan D.L.ocation-based tracking