商品描述
Confessions of an AI Brain, Second Edition invites readers to not only to understand how AI works, but to imagine, question, and actively shape the kind of AI-enabled future they want to build. By framing AI as a narrator, the book ventures inside the mind of MIRANDA, a fictional yet technically grounded AI brain that narrates its own coming-of-age in a world saturated with algorithms, data, and digital infrastructure. Blending clear explanations with an engaging first-person voice, the book demystifies how modern AI systems are built, trained, deployed, and governed--without assuming any mathematical or programming background. Along the way, MIRANDA reflects on topics such as learning from data, bias and fairness, neurosymbolic reasoning, agentic AI, foundation models, digital twins, and the infrastructure that makes intelligent services possible. Rather than treating AI as a black box or distant threat, the narrative frames it as a partner in a shared human-machine ecosystem, exploring how artificial and biological minds co-evolve at home, in industry, in cities, and in our creative lives. Through concrete examples -- from baby steps in safe sandboxes and "data diets" to multi-agent systems, climate-aware optimization, and AI-assisted art, music, and writing -- the book shows how AI can be designed to support sustainability, inclusiveness, and human flourishing. Readers gain an intuitive grasp of core concepts like machine learning styles, attention and transformers, trustworthy and explainable AI, and the role of regulation and ethics, all framed through MIRANDA's candid "confessions" about its capabilities and limitations. Aimed at curious general readers as well as professionals and students who want a concept-focused overview, Confessions of an AI Brain bridges technical insight and societal reflection in an accessible, story-driven format. It is also a useful companion for engineers, business leaders, policymakers, creatives, and anyone adopting AI in their work and want to ask better questions about data quality, safety, bias, responsibility, and long-term impact.
商品描述(中文翻譯)
《Confessions of an AI Brain, Second Edition》邀請讀者不僅了解 AI 的運作方式，也想像、質疑，並主動形塑自己想要打造的 AI 未來。全書將 AI 設定為敘事者，帶領讀者深入 MIRANDA 的心智世界。MIRANDA 是一個虛構但以技術為根基的 AI 大腦，在充斥著演算法、資料與數位基礎架構的世界中，講述自己的成長歷程。本書以清晰易懂的說明，搭配引人入勝的第一人稱敘事，揭開現代 AI 系統如何建構、訓練、部署與治理的神秘面紗，而且不預設讀者具備任何數學或程式設計背景。在這段旅程中，MIRANDA 將探討從資料中學習、偏見與公平性、神經符號推理、代理型 AI、基礎模型、數位孿生，以及讓智慧服務得以實現的基礎架構等主題。
本書不把 AI 視為黑箱或遙不可及的威脅，而是將其描繪為人機共存生態系中的夥伴，探索人工心智與生物心智如何在家庭、產業、城市，以及我們的創意生活中共同演化。透過具體範例——從安全沙盒中的初步嘗試與「資料飲食」，到多代理系統、氣候感知最佳化，以及 AI 輔助的藝術、音樂與寫作——本書展示如何設計 AI，使其支持永續性、包容性與人類福祉。讀者將以直觀的方式掌握機器學習類型、注意力機制與 transformers、值得信賴且可解釋的 AI，以及法規與倫理所扮演的角色；而這些內容都透過 MIRANDA 坦率分享自身能力與限制的「自白」來呈現。
《Confessions of an AI Brain》適合對 AI 抱持好奇的一般讀者，也適合希望取得以概念為核心之概觀的專業人士與學生。本書以易於理解、由故事引導的形式，串聯技術洞見與社會反思。對工程師、企業領導者、政策制定者、創意工作者，以及任何在工作中採用 AI、並希望更深入思考資料品質、安全性、偏見、責任與長期影響的人而言，本書也是一本實用的參考讀物。
作者簡介
Elena Fersman is a Vice President, Head of AI Innovation and Incubation and Head of Ericsson Silicon Valley Site at Ericsson. Elena is a docent in Cyber-Physical Systems specialized in Automation at the Royal Institute of Technology in Stockholm, holds a PhD in Computer Science from Uppsala University, and did a postdoc at the University Paris-Saclay. At Ericsson, she had various positions ranging from product management to research leadership. Elena is a fellow of the Royal Swedish Academy of Engineering Sciences. Elena has co-authored over fifty patent families. Paul Pettersson is Vice-President and Professor at Mälardalen University, Sweden. He has a PhD in Computer Systems and has been appointed Docent in Computer Science at Uppsala University, Sweden. Prof. Pettersson has co-authored over 100 scientific papers, articles, and book chapters in Computer Science. During his career, he has held various leadership positions in academia, including six years as President (Vice-Chancellor) of Mälardalen University. Athanasios Karapantelakis is a research engineer with seventeed years of experience in the telecommunications and software industries. His research focuses on automated planning and reasoning and their integration with machine learning. He has held diverse engineering roles spanning software design, cloud technologies, and AI research. Athanasios holds a PhD from KTH Royal Institute of Technology, Stockholm, Sweden. Christina Chaccour is a Senior Strategy and Product Manager at Ericsson working on AI for networks and emerging wireless technologies. Her background spans telecommunications systems, AI, and microelectronics, with roles across research, technical pre-sales, network architecture, and business strategy. She holds a PhD in Electrical Engineering from Virginia Tech, represents Ericsson in key industry forums and on editorial boards, and is a co-founder of an award-winning technology startup.
作者簡介(中文翻譯)
Elena Fersman 是 Ericsson 的副總裁、AI Innovation and Incubation 部門主管，以及 Ericsson Silicon Valley Site 負責人。Elena 是斯德哥爾摩 Royal Institute of Technology 專攻自動化的 Cyber-Physical Systems 領域 docent，擁有 Uppsala University 的 Computer Science 博士學位，並曾於 University Paris-Saclay 從事博士後研究。在 Ericsson 任職期間，她曾擔任從產品管理到研究領導等不同職務。Elena 是 Royal Swedish Academy of Engineering Sciences 院士，並共同持有超過 50 個專利家族。
Paul Pettersson 是瑞典 Mälardalen University 的副校長兼教授。他擁有 Computer Systems 博士學位，並獲 Uppsala University（瑞典）聘任為 Computer Science 領域的 Docent。Pettersson 教授共同發表了超過 100 篇 Computer Science 領域的科學論文、文章與書籍章節。在其職業生涯中，他曾於學術界擔任多項領導職務，其中包括擔任 Mälardalen University 校長（Vice-Chancellor）六年。
Athanasios Karapantelakis 是一名研究工程師，擁有 17 年電信與軟體產業經驗。他的研究重點是自動化規劃與推理，以及將兩者與機器學習整合。他曾擔任各類工程職務，涉獵軟體設計、雲端技術與 AI 研究。Athanasios 擁有瑞典斯德哥爾摩 KTH Royal Institute of Technology 的博士學位。
Christina Chaccour 是 Ericsson 的資深策略與產品經理，負責網路 AI 與新興無線技術。她的專業背景涵蓋電信系統、AI 與微電子，曾從事研究、技術售前、網路架構及商業策略等工作。她擁有 Virginia Tech 的 Electrical Engineering 博士學位，代表 Ericsson 參與重要產業論壇並擔任編輯委員會成員，同時也是一家屢獲殊榮之科技新創公司的共同創辦人。
