Part IV 完形填空

Artificial intelligence (AI) is more present in our lives than ever. With varied uses, AI can 46 what we want to see as we browse social media, 47 helping to solve global challenges like hunger, environmental changes, and epidemics. This technology has countless 48 in the real world. A McKinsey survey illustrates that AI adoption followed a(n) 49 trend in the year 2021 and continues to do so. According to the survey, "56 percent of all respondents 50 AI adoption in at least one function." However, AI technology is not always 51 — AI can violate privacy, AI-generated output cannot always be explained, and AI can be 52. When the data feeding an AI system is not representative of the diversity and plurality of our societies, it can 53 discriminatory outcomes. An often-cited example is facial recognition technology. Used to access mobile phones and bank 54, it's also being increasingly employed by law enforcement authorities. With emerging problems accurately identifying women and darker-skinned people, facial recognition is far from being perfected. This is not surprising when you look at how AI is developed: Only 1 in 10 software developers worldwide are women. 55, developers come overwhelmingly from western countries. Therefore, AI ethics policies should be formulated from the start.

46. A predictB changeC proveD order
47. A as long asB as well asC as far asD as much as
48. A applicationsB drawbacksC concernsD devices
49. A backwardB downwardC outwardD upward
50. A reportB conductC reformD analyze
51. A possibleB beneficialC unusualD random
52. A praisedB updatedC confusedD biased
53. A reviewB reflectC produceD question
54. A accountsB clerksC branchesD interests
55. A OtherwiseB HoweverC FurthermoreD Consequently