Artificial intelligence (AI) has shown competence across various fields, but matching human creativity remains hard to achieve. However, companies like StoryFit are using AI in a much novel way, particularly in the film industry, where it is changing greatly how scripts are developed, and stories are told.
Initially, Monica Landers, founder and CEO of StoryFit, used AI technology to aid publishers in narrowing down their “slush piles”(未处理的文稿) to a shortlist of promising books. However, StoryFit found the publishing industry’s growth potential insufficient and targeted the film industry instead. Consequently, it has become the force behind several successful films in recent years.
Primarily, StoryFit analyzes a script’s marketability(市场潜力), assessing where a story fits with the audience and how each storytelling element connects with audiences. The film industry is high-risk, with considerable investments required before generating returns. StoryFit provides data on whether those risks are likely to be fruitful. StoryFit’s AI technology checks character qualities to evaluate audience responses, determining how heroic or relatable a main character might be. This information allows creative professionals to identify potential character imbalances.
Beyond marketability, StoryFit also analyzes audience connections to the storyline, offering insights into aspects such as the audience’s emotional journey throughout an episode or the impact of a favorite character’s departure. The company also reports on plot inconsistencies, such as characters behaving consistently with their established qualities or disappearing from the storyline. Nevertheless, Landers emphasizes that their role is to draw inspiration from the data rather than comment on the script. She stated, “You have people whose whole careers are based on making those decisions. But we can be a technology voice that helps them to shine a light on what’s happening or not happening in the script.”
Using AI technology like StoryFit in the film industry shows artificial intelligence’s potential to enhance storytelling. As the technology advances, its impact on the film industry will only grow, paving the way for more engaging and emotional cinematic experiences.
()12. What caused StoryFit to shift its focus from publishing to films?
A. The financial difficulties of publishing.
B. The limited future of publishing.
C. The decreasing customer base of publishing.
D. The lack of AI competence in publishing.
()13. According to Landers, what is StoryFit’s role in script analysis?
A. A data-driven advisor.
B. A decision-maker.
C. A marketing specialist.
D. A content developer.
()14. What is the author’s attitude toward the application of AI in the film industry?
A. Unclear.
B. Supportive.
C. Objective.
D. Negative.
()15. What is the best title for the passage?
A. AI’s Failure to Match Human Creativity
B. StoryFit: A Great Company Leading the Film Industry
C. AI Transforms Script Development in Film
D. The Challenges of AI in High-Risk Industries

12.B 13.A 14.B 15.C
【语篇解读】本文是一篇说明文。文章主要讲述了AI在电影行业改变剧本开发及故事讲述方式。
12. B 解析:细节理解题。根据第二段中“However, StoryFit found the publishing industry's growth potential limited and targeted the film industry instead.”可知，StoryFit将重心从出版业转向电影业的原因是出版业增长前景有限。故选B。
13. A 解析:细节理解题。根据第四段中“Nevertheless, Landers emphasizes that... or not happening in the script.'(然而，Landers强调，他们的作用是从数据中提取见解，而不是对剧本进行评价。她表示：‘有些人的整个职业生涯都基于做出这些决定。但我们可以成为一种技术声音，帮助他们了解剧本中存在的问题或不足之处’)”可知，兰德斯认为StoryFit在剧本分析中的角色是数据驱动的顾问。故选A。
14. B 解析:观点态度题。根据最后一段的内容“在电影行业使用像StoryFit这样的人工智能技术，展示了人工智能提升叙事的潜力。随着技术的进步，它对电影行业的影响只会越来越大，为更具吸引力和共鸣感的电影体验铺平道路”可推知，作者对AI在电影行业的应用持支持态度。故选B。
15. C 解析:标题归纳题。通读全文可知，文章介绍了StoryFit公司从出版业转向电影业的原因，以及其在剧本分析中的具体作用和优势，同时强调了人工智能在增强故事讲述潜力方面的作用，并展望了其在电影行业的未来发展。由此可知，C选项“AI Transforms Script Development in Film(人工智能改变了电影剧本的开发)”最符合文章标题。故选C。