[고1] 2025년 10월 모의고사 41~42번 - 요약 및 원문비교 (with mp3)

[고1] 25년 10월 - 41~42번: 창의성 분야에서 AI에 대한 과도한 의존의 위험성

Creativity is the ability to generate novel and valuable ideas. It involves divergent thinking, imagination, and a willingness to experiment and take risks. While AI can be a powerful tool for creative efforts, it also carries the risk of limiting originality and innovation. AI algorithms are trained on existing datasets, often identifying patterns and trends in past creations. While this can be useful for generating new content in similar styles or formats, it can also lead to derivative works that lack genuine originality. If artists and designers rely too heavily on AI for inspiration and content generation, they may find themselves trapped in a cycle of imitation, unable to break free from the constraints of the AI's training data. Moreover, the ease with which AI can generate content can discourage the kind of struggle and experimentation that often leads to breakthroughs. The creative process is often messy and repetitive, involving numerous failures and setbacks. It is through these challenges that we refine our skills, develop our unique perspectives, and push the boundaries of what is possible. If AI provides instant solutions, it can bypass this essential process of learning through trial and error, ultimately inhibiting the development of true creative talent.

 

 

 

[핵심요약 & 그래픽요약]

Notion 핵심요약 전체 바로가기 - https://d.pr/mYFxcz

 

 

[원문 비교]

1	Creativity is the ability to generate novel and valuable ideas.	Creativity is the ability to generate novel and valuable ideas.
2	It involves divergent thinking, imagination, and a willingness to experiment and take risks.	It involves divergent thinking, imagination, and a willingness to experiment and take risks.
3	While AI can be a powerful tool for creative efforts, it also carries the risk of limiting originality and innovation.	While AI can be a powerful tool for creative endeavors, it also carries the risk of stifling originality and innovation.
4	AI algorithms are trained on existing datasets, often identifying patterns and trends in past creations.	AI algorithms are trained on existing datasets, often identifying patterns and trends in past creations.
5	While this can be useful for generating new content in similar styles or formats, it can also lead to derivative works that lack genuine originality.	While this can be useful for generating new content in similar styles or formats, it can also lead to derivative works that lack genuine originality.
6	If artists and designers rely too heavily on AI for inspiration and content generation, they may find themselves trapped in a cycle of imitation, unable to break free from the constraints of the AI's training data.	If artists and designers rely too heavily on AI for inspiration and content generation, they may find themselves trapped in a cycle of imitation, unable to break free from the constraints of the AI's training data.
7	Moreover, the ease with which AI can generate content can discourage the kind of struggle and experimentation that often leads to breakthroughs.	Moreover, the ease with which AI can generate content can discourage the kind of struggle and experimentation that often leads to breakthroughs.
8	The creative process is often messy and repetitive, involving numerous failures and setbacks.	The creative process is often messy and iterative, involving numerous failures and setbacks.
9	It is through these challenges that we refine our skills, develop our unique perspectives, and push the boundaries of what is possible.	It is through these challenges that we hone our skills, develop our unique perspectives, and push the boundaries of what is possible.
10	If AI provides instant solutions, it can bypass this essential process of learning through trial and error, ultimately inhibiting the development of true creative talent.	If AI provides instant solutions, it can bypass this essential process of learning through trial and error, ultimately hindering the development of true creative talent.

 

* 원문 참고 어휘

• endeavor 노력, 시도 (= effort)
• stifle 억누르다, 질식시키다 (= limit)
• iterative 반복적인, 되풀이되는 (= repetitive)
• hone 연마하다, 갈고닦다 (= refine)
• hinder 방해하다 (= inhibit)

 

 

 

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