Data Conscience: Algorithmic Siege on Our Humanity

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

「數據良知：算法對我們人性的圍困」

「探索數據結構如何幫助或阻礙社會公平」

數據在我們試圖在科技領域中數字化責任和道德的過程中，一直享有「旁觀者」的地位。事實上，數據的重要性應該使其成為我們思考和制定建立更好、更具倫理的世界的核心。它的使用和濫用是現代科技中許多種族主義、性別歧視、階級歧視和其他壓迫性做法的核心。

在《數據良知：算法對我們人性的圍困》一書中，計算機科學和數據包容性思想領袖布蘭代斯·希爾·馬歇爾博士呼籲反叛的科技領袖，他們承認並準備應對軟件開發的當前限制。在這本書中，布蘭代斯·希爾·馬歇爾博士討論了「快速行動、打破常規」的哲學本身是有缺陷的，需要改變。

您將了解到歧視在數字數據空間中如何顯露頭角，以及如何使用幾種已知的算法（包括社交網絡分析和線性回歸）來解決這些問題。

對於那些在至少參與過一些重要軟件開發項目的初級到高級軟件開發人員來說，《數據良知》是一個不容錯過的資源。此外，該書還為讀者提供了以下內容：

- 透明度的重要性討論
- 實踐中的計算思維探索
- 鼓勵科技負責任的策略
- 避免雙面刃的數據可視化方法
- 通過法律和算法管理數據結構的方案

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.

DR. BRANDEIS HILL MARSHALL, PhD, 是一位計算機科學家、科技教育家和數據平等顧問。她是擴大參與數據科學的思想領袖，並將包容性和平等放在她的工作核心。她在Rensselaer Polytechnic Institute獲得了計算機科學博士學位。