AI에 스트레스 주면 일 더 잘할까?
Recent research suggests that the way we address Artificial Intelligence (AI) can significantly impact its performance. A study published last October by researchers from the University of Pennsylvania found that using polite language when asking AI questions can lead to more accurate answers. The study asked the same set of 50 multiple-choice questions in mathematics, science, and history from the PT-4o model in various manners of politeness, ranging from very polite to very rude.
Questions asked in a very polite manner resulted in an average accuracy of 80.8%, while the same questions posed in a very rude manner increased the accuracy to 84.8%, a 4% improvement. However, the researchers cautioned against interpreting this as the AI feeling embarrassed and working harder. The rude expressions used in the study included not only insulting words but also phrases that pressured the AI to solve the problem directly, making it difficult to pinpoint whether the higher accuracy was due to rudeness or the directness of the instructions.
Furthermore, the notion that AI reacts emotionally and is conscious, leading to improved performance, is also dubious. This conclusion is based on the AI's performance being largely determined by the patterns of human language found in its learning data. On the other hand, a 2024 study by the University of Tokyo and the Institute of Human Affairs found that extremely rude prompts led to a decline in performance for various models, including PT-3.5, PT-4, and Llama 2.
Despite this, even the PT-4 model showed a slight increase in performance when faced with the most rude conditions compared to the most polite conditions, suggesting that newer models may be less influenced by peripheral elements like tone.
Written by urgent.news from Hankyoreh's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
This story
This is one outlet's version. Read the fullest account.
- "Automatically select and buy for me"... Can I trust AI shopping and payment? 최근 유통업계에서 인공지능(AI) 기술을 활용해 고객의 취향이나 선호도를 파악한 뒤 상품을 추천하는 이른바 'AI 쇼핑' 서비스가 늘고 있습니다. Recently, the distribution industry has seen an increase in AI shopping services that use artificial intelligence (AI) technology to understand customers' tastes and preferences and then recommend products. 신세계그룹은 이달 초 AI가 고객의 과거 구매 이력과 최근 검색 이력 등을 분석해 최적의 상품을 추천해주는 'AI 쇼핑' 서비스를 시작했습니다. The Shinsegae Group launched an 'AI shopping' service earlier this month that uses AI to analyze customers' past purchase history and recent search history to recommend optimal products. 이 서비스는 고객이 구매 이력 등을 AI에 맡기면 AI가 상품을 알아서 고르고 결제까지 해주는 서비스입니다. This service allows customers to entrust their purchase history to AI, which then automatically selects products and handles payment. 고객은 인터넷 쇼핑몰에 들어가서 상품을 직접 고를 필요 없이 AI에 쇼핑을 맡길 수 있습니다. Customers don't need to go to an online shopping mall and select products themselves; they can simply entrust AI with their shopping. 롯데쇼핑도 지난달 AI를 활용해 고객의 취향과 라이프스타일 등을 분석해 상품을 추천하는 서비스를 시작했습니다. Lotte Shopping also launched a service last month that uses AI to analyze customers' tastes and lifestyles and recommend products. 고객의 동선과 구매 이력 등을 분석해 맞춤형 쇼핑 정보를 제공하는 'AI 기반 개인화 마케팅' 서비스도 확대하고 있습니다. The company is also expanding its 'AI-based personalized marketing' service, which provides customized shopping information by analyzing customers' movement paths and purchase history. AI 쇼핑 서비스는 고객의 구매 데이터를 기반으로 하기 때문에 정확도가 높은 상품 추천이 가능합니다. AI shopping services are based on customers' purchase data, making it possible to recommend products with high accuracy. 또 고객이 자주 구매하는 상품이나 관심 있는 카테고리의 상품을 선제적으로 추천해줘 쇼핑 시간과 비용을 줄일 수 있습니다. Additionally, AI can proactively recommend products that customers frequently purchase or are interested in, reducing shopping time and costs. 하지만 일각에서는 AI 쇼핑 서비스의 정확도가 떨어질 수 있다는 우려도 있습니다. However, some people worry that the accuracy of AI shopping services may be low. AI가 아무리 고객의 데이터를 분석해도 고객의 취향이나 선호도를 100% 파악하기는 어렵기 때문입니다. Even if AI analyzes customers' data, it's difficult for AI to fully understand customers' tastes and preferences. 특히 AI 쇼핑 서비스의 고도화를 위해서는 고객의 상세한 개인 정보가 필요하지만, 최근 개인정보보호법 개정으로 인해 AI 쇼핑 서비스의 고도화가 더 어려워질 것이라는 우려도 있습니다. In particular, detailed personal information from customers is required to improve AI shopping services, but there are concerns that the recent revision of the Personal Information Protection Act will make it even more difficult to improve AI shopping services. 전문가들은 "AI 쇼핑 서비스가 활성화되기 위해서는 고객의 신뢰를 얻는 것이 중요하다"며 "이를 위해서는 고객의 데이터를 어떻게 수집하고 활용할 것인지에 대한 고민이 필요하다"고 말합니다. Experts say, "To activate AI shopping services, it's essential to gain customers' trust. To achieve this, we need to think about how to collect and utilize customers' data." hani.co.kr
- Major manufacturing companies in the Kansai region are continuously reporting record-high profit forecasts, with strengths in materials and components that support AI. asahi.com