103 Read the text about the disadvantages of using AI in healthcare. Some words are missing. Choose the correct answer (A, B, C or D) for each gap (1–8). Put a cross ( ) in the correct box. The first one (0) has been done for you. LANGUAGE IN USE 22 Which of the disadvantages mentioned in the text do you consider to be the most serious? Why? Come up with two questions about the text. Exchange them with a partner and check each other’s answers. Apart from cars and medicine, AI has, of course, also arrived in education. What’s your experience with using AI tools for schoolwork? Talk to a partner about the ideas below. using an AI tool to solve maths problems asking a chatbot to write a text using translation programs READING + SPEAKING 23 a b 24 The robots are coming! Or are they? AI technology has become a hot topic. Although it (0) like a fantastic invention, there are some negative sides to developments in this area. In the past, people joked that robots would (1) over the world and steal people’s jobs, but AI and automation are a very real threat to many sectors. In healthcare, the introduction of AI could (2) that a lot of administrative roles are cut. There are other disadvantages of AI in healthcare. For instance, AI can’t work on its own; humans still need to feed information into it and (3) for mistakes. Also, humans have skills which can’t be replaced by machines yet, such as the ability to empathise with patients and observe their behaviour. This can be crucial to a medical diagnosis and prevent further complications. The human touch in medicine is essential for building trust (4) patients and healthcare providers. Patients are more likely to feel comfortable opening up about their health concerns to a caring human who they feel understands their situation. This is vital for accurate diagnosis and effective treatment. AI systems can be vulnerable to security risks, which is a massive problem for the healthcare industry as patient data must be kept confidential. Cyber-attacks are (5) more intelligent and effective while also proving harder to predict and prevent. As a result, healthcare institutions will need to invest a lot of money to (6) they are protected from cybercriminals. Using AI in medicine can reduce a lot of human error, but it won’t be able to get rid of mistakes completely. Whenever there is a huge amount of data involved, errors are still (7) to happen, and data gaps can also be an issue. This could possibly have (8) consequences in areas like prescription of medicine. It’s clear that AI is not yet sufficiently developed to completely replace humans in the field of healthcare. 0 A may seem B is not C can be D will be 1 A take B get C look D make 2 A see B cause C help D mean 3 A wait B allow C check D care 4 A from B between C beside D upon 5 A appearing B surely C never D becoming 6 A mind B ensure C feel D insist 7 A impossible B definite C likely D hardly 8 A death B positive C serious D minor Nur zu Prüfzwecken – Eigentum des Verlags öbv
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