Data Conscience: Algorithmic Siege on Our Humanity
暫譯: 數據良知:算法對人性的圍攻

Gebru, Timnit, Marshall, Brandeis Hill

  • 出版商: Wiley
  • 出版日期: 2022-09-21
  • 定價: $1,400
  • 售價: 9.5$1,330
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1119821185
  • ISBN-13: 9781119821182
  • 相關分類: Algorithms-data-structures
  • 立即出貨 (庫存 < 3)

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商品描述

DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY

EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY

Data has enjoyed 'bystander' status as we've attempted to digitize responsibility and morality in tech. In fact, data's importance should earn it a spot at the center of our thinking and strategy around building a better, more ethical world. It's use--and misuse--lies at the heart of many of the racist, gendered, classist, and otherwise oppressive practices of modern tech.

In Data Conscience: Algorithmic Siege on our Humanity, computer science and data inclusivity thought leader Dr. Brandeis Hill Marshall delivers a call to action for rebel tech leaders, who acknowledge and are prepared to address the current limitations of software development. In the book, Dr. Brandeis Hill Marshall discusses how the philosophy of "move fast and break things" is, itself, broken, and requires change.

You'll learn about the ways that discrimination rears its ugly head in the digital data space and how to address them with several known algorithms, including social network analysis, and linear regression

A can't-miss resource for junior-level to senior-level software developers who have gotten their hands dirty with at least a handful of significant software development projects, Data Conscience also provides readers with:

  • Discussions of the importance of transparency
  • Explorations of computational thinking in practice
  • Strategies for encouraging accountability in tech
  • Ways to avoid double-edged data visualization
  • Schemes for governing data structures with law and algorithms

商品描述(中文翻譯)

**數據良知:對人性的算法圍攻**

**探索數據結構如何幫助或妨礙社會公平**

數據在我們試圖將責任和道德數位化的過程中,一直扮演著「旁觀者」的角色。事實上,數據的重要性應該使其成為我們思考和制定策略以建立更好、更具倫理世界的核心。數據的使用——以及誤用——正是現代科技中許多種族歧視、性別歧視、階級歧視及其他壓迫性實踐的根源。

在《數據良知:對人性的算法圍攻》一書中,計算機科學和數據包容性思想領袖 Dr. Brandeis Hill Marshall 向叛逆的科技領袖發出行動呼籲,這些領袖承認並準備解決當前軟體開發的限制。在書中,Dr. Brandeis Hill Marshall 討論了「快速行動並打破事物」的哲學本身是破碎的,並需要改變。

您將了解歧視如何在數位數據空間中抬頭,以及如何利用幾個已知的算法來解決這些問題,包括社交網絡分析和線性回歸。

《數據良知》是初級到高級軟體開發人員不可錯過的資源,這些開發人員至少參與過幾個重要的軟體開發專案,書中還為讀者提供了:

- **透明度重要性的討論**
- **計算思維在實踐中的探索**
- **促進科技責任的策略**
- **避免雙刃數據視覺化的方法**
- **用法律和算法治理數據結構的方案**

作者簡介

DR. BRANDEIS HILL MARSHALL, PhD, is a computer scientist, tech educator, and data equity consultant. She is a thought leader in broadening participating in data science and puts inclusivity and equity at the center of her work. She obtained her doctorate in Computer Science from Rensselaer Polytechnic Institute.

作者簡介(中文翻譯)

布蘭德斯·希爾·馬歇爾博士 (Dr. Brandeis Hill Marshall, PhD) 是一位計算機科學家、技術教育者和數據公平顧問。她是推動數據科學參與的思想領袖,並將包容性和公平性置於她工作的核心。她在倫斯勒理工學院 (Rensselaer Polytechnic Institute) 獲得計算機科學博士學位。