The AI Conundrum: Harnessing the Power of AI for Your Organization--Profitably and Safely
暫譯: AI難題：為您的組織安全且獲利地利用AI的力量
Briggs, Caleb, Briggs, Rex
- 出版商: MIT
- 出版日期: 2024-08-06
- 售價: $1,370
- 貴賓價: 9.5 折 $1,302
- 語言: 英文
- 頁數: 264
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 026204899X
- ISBN-13: 9780262048996
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相關分類:
GAN 生成對抗網絡、人工智慧
海外代購書籍(需單獨結帳)
商品描述
A timely, practical guide to AI--its strengths, weaknesses, and real-world applications--for business professionals and policymakers.
Artificial intelligence, or AI, can recognize a pattern from any set of data it is given, which is what makes it such an extraordinarily powerful tool. But because not all patterns are authentic or reliable, AI's pattern-finding superpower can lead to spurious patterns--and to disastrous results for business and government entities that rely on them. Hence the conundrum at the heart of AI: its greatest strength can also be its greatest weakness. Targeting the businessperson who needs to know how to use AI profitably and responsibly, Caleb Briggs and Rex Briggs offer in this book a foundational understanding of AI that is easy to grasp yet thorough enough to be used effectively. The AI Conundrum
- Draws on the authors' diverse expertise--in pure math, computer science, marketing, data science, and business--to make AI concepts and applications approachable for readers of all tech levels.
- Provides a framework for comparing AI to the next best alternative, and for gauging where AI is likely be successful--or to pose greater risk than benefits.
- Includes dozens of real-world case studies highlighting the successes and failures of AI applications across various industries.
- Offers actionable insights for responsible implementation and risk mitigation.
- Provides a worksheet for identifying potential problem areas, a cost-benefit analysis, and a companion website.
The AI Conundrum is an invaluable resource for professionals and students seeking a full understanding of AI--its applications, limitations, and ethical considerations--as we enter a brave new era.
Artificial intelligence, or AI, can recognize a pattern from any set of data it is given, which is what makes it such an extraordinarily powerful tool. But because not all patterns are authentic or reliable, AI's pattern-finding superpower can lead to spurious patterns--and to disastrous results for business and government entities that rely on them. Hence the conundrum at the heart of AI: its greatest strength can also be its greatest weakness. Targeting the businessperson who needs to know how to use AI profitably and responsibly, Caleb Briggs and Rex Briggs offer in this book a foundational understanding of AI that is easy to grasp yet thorough enough to be used effectively. The AI Conundrum
- Draws on the authors' diverse expertise--in pure math, computer science, marketing, data science, and business--to make AI concepts and applications approachable for readers of all tech levels.
- Provides a framework for comparing AI to the next best alternative, and for gauging where AI is likely be successful--or to pose greater risk than benefits.
- Includes dozens of real-world case studies highlighting the successes and failures of AI applications across various industries.
- Offers actionable insights for responsible implementation and risk mitigation.
- Provides a worksheet for identifying potential problem areas, a cost-benefit analysis, and a companion website.
The AI Conundrum is an invaluable resource for professionals and students seeking a full understanding of AI--its applications, limitations, and ethical considerations--as we enter a brave new era.
商品描述(中文翻譯)
一本及時且實用的人工智慧指南——其優勢、劣勢及實際應用——針對商業專業人士和政策制定者。
人工智慧（Artificial Intelligence，簡稱 AI）能夠從任何給定的數據集中識別模式，這使其成為一個極其強大的工具。然而，並非所有模式都是真實或可靠的，因此 AI 的模式識別超能力可能會導致虛假的模式，並對依賴這些模式的商業和政府機構造成災難性的後果。因此，AI 的核心難題在於：其最大的優勢也可能是其最大的劣勢。本書針對需要了解如何以有利可圖且負責任的方式使用 AI 的商業人士，Caleb Briggs 和 Rex Briggs 提供了一個易於理解但又足夠全面的 AI 基礎知識，以便有效使用。AI 的難題- 利用作者在純數學、計算機科學、市場營銷、數據科學和商業等多方面的專業知識，使 AI 概念和應用對各種技術水平的讀者都能夠接觸。
- 提供一個框架，用於將 AI 與下一個最佳替代方案進行比較，並評估 AI 可能成功的地方，或是帶來的風險大於收益的情況。
- 包含數十個真實案例研究，突顯 AI 應用在各行各業中的成功與失敗。
- 提供可行的見解，以便負責任地實施和降低風險。
- 提供一個工作表，用於識別潛在問題區域、成本效益分析以及一個伴隨網站。
AI 的難題 是專業人士和學生尋求全面理解 AI——其應用、限制和倫理考量——在我們進入一個勇敢的新時代時的寶貴資源。
作者簡介
Caleb Briggs began coding at 10 and developing AI at 14. He has created several AI applications from scratch, building experience in genetic algorithms, machine vision, natural language, and more. Caleb is currently studying pure math and computer science at Reed College in Portland, Oregon. Rex Briggs is an award-winning AI and data expert who holds five patents and has helped build multiple AI businesses. He currently serves as subject matter expert in AI for the marketing trade association MMA Global. He is the coauthor of What Sticks and the author of SIRFs-Up.
作者簡介(中文翻譯)
卡勒布·布里格斯（Caleb Briggs）在10歲時開始編程，14歲時開始開發人工智慧（AI）。他從零開始創建了幾個AI應用程式，積累了在遺傳算法、機器視覺、自然語言等方面的經驗。卡勒布目前在俄勒岡州波特蘭的里德學院（Reed College）學習純數學和計算機科學。
雷克斯·布里格斯（Rex Briggs）是一位獲獎的AI和數據專家，擁有五項專利，並幫助建立了多個AI企業。他目前擔任市場貿易協會MMA Global的AI主題專家。他是《What Sticks》的共同作者，也是《SIRFs-Up》的作者。
