B Marshall
Data Conscience - Algorithmic Siege on Our Humanity
Data Conscience - Algorithmic Siege on Our Humanity
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Excellent- More about Data Conscience - Algorithmic Siege on Our Humanity
Data has played a bystander role in the digitization of responsibility and morality in tech, leading to racist,gendered,classist, and oppressive practices. Data Conscience: Algorithmic Siege on our Humanity calls for rebel tech leaders to address the limitations of software development and provides algorithms to address discrimination, transparency, computational thinking, accountability, and double-edged data visualization.
Format: Paperback / softback
Length: 352 pages
Publication date: 17 October 2022
Publisher: John Wiley & Sons Inc
DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY
Explore how data structures can help or hinder social equality.
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. Its 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 'cant-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.
Weight: 516g
Dimension: 186 x 237 x 20 (mm)
ISBN-13: 9781119821182
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