책 이미지
책 정보
· 분류 : 국내도서 > 경제경영 > 트렌드/미래전망 > 트렌드/미래전망 일반
· ISBN : 9791124073018
· 쪽수 : 224쪽
· 출판일 : 2025-10-29
책 소개
목차
Preface 004
Ten Keywords
Human-in-the-Loop 017
Oh, my feelings! The Feelconomy 037
Results on Demand: Zero-click 057
Self-Directed Preparation: Ready-core 075
Efficient Organizations through AI Transformation 095
Pixelated Life 121
Observant Consumers: Price Decoding 139
Widen your Health Intelligence 161
Everyone Is an Island: the 1.5 Household 179
Returning to the Fundamentals 199
Authors 218
저자소개
책속에서
Once confined to limited functions, AI now intrudes even into marital disputes, raising the fear: “Soon, there will be no work left for humans.”
But is this really true? At least for the foreseeable future, we don’ need to worry. AI’ results remain imperfect and can cause serious side effects, which is why human involvement is essential. This idea is called “human-in-the-loop” (HITL). Here, “loop” refers to the full process of a task, and HITL is the commitment that humans must intervene at some stage to enhance accuracy, add context, and inject ethical or creative judgment. It is not a passive notion of control but an active collaborative system where humans and AI combine strengths to achieve optimal results.
This leads to the concept of “centaur talent,”a hybrid human-AI archetype. Inspired by chess champion Garry Kasparov, a centaur combines the uniquely human upper body – creativity, critical thinking, ethical judgment, empathy, and communication – with AI’s powerful lower body – fast, large-scale data processing, pattern recognition, and idea generation. The upper human defines “what to do” and “why,” while the lower horse handles “how to execute.”
Food delivery is following the same trend. According to a Baedal Minjok survey, 32% of users open delivery apps without knowing what they want to eat, mirroring the “Netflix syndrome” where viewers endlessly scroll without choosing. To address this, Baedal Minjok launched a ChatGPT-based recommendation service in March 2024. By analyzing user reviews, it suggests menus that fit particular moods or situations. For instance, if many users write: “I was stressed at work, so I ordered spicy tteokbokki on my way home,” the system learns this pattern and recommends spicy tteokbokki to others in similarly stressed-out situations.



















