Introduction to Generative AI — 추가 읽기 자료 정리

Introduction to Generative AI — 추가 읽기 자료 정리

---

📌 기본 개념

• What is Generative AI? (Google) https://blog.google/inside-google/googlers/ask-a-techspe/what-is-generative-ai/
• What is Generative AI? (McKinsey) https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai

---

📌 Google 연구 / 생태계

• Google Research 2022 & beyond: Generative Models https://ai.googleblog.com/2023/01/google-research-2022-beyond-language.html
• Building the most open and innovative AI ecosystem (Google Cloud)https://cloud.google.com/blog/products/ai-machine-learning/building-an-open-generative-ai-partner-ecosystem

---

📌 사회적 관점 / 윤리

• Generative AI is here. Who Should Control It? (NYT) https://www.nytimes.com/2022/10/21/podcasts/hard-fork-generative-ai

---

📌 Stanford HAI / 학술

• Stanford & Google: Generative Agents → 인간 행동을 모방하는 AI 에이전트 연구https://syncedreview.com/2023/04/12/stanford-u-googles-generative-agents
• Generative AI: Perspectives from Stanford HAI https://hai.stanford.edu/sites/default/files/2023-03/Generative_AI_HAI_Perspectives.pdf

---

📌 실무 / 미래 전망

• Generative AI at Work (NBER 논문) https://www.nber.org/system/files/working_papers/w31161/w31161.pdf
• The future of generative AI is niche, not generalized (MIT Technology Review)https://www.technologyreview.com/2023/04/27/1072102/the-future-of-generative-ai-is-niche-not-generalized/

---

읽기 우선순위 추천

입문용          → Google 블로그 / McKinsey
기술 심화       → Google Research 2022
학술/연구       → Stanford HAI / NBER 논문
미래 트렌드     → MIT Technology Review