Data Conscience

Data Conscience
Author: Brandeis Hill Marshall
Publisher: John Wiley & Sons
Total Pages: 305
Release: 2022-08-19
Genre: Computers
ISBN: 1119821207

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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


Data Conscience
Language: en
Pages: 305
Authors: Brandeis Hill Marshall
Categories: Computers
Type: BOOK - Published: 2022-08-19 - Publisher: John Wiley & Sons

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DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed ‘bystander’ status as we’v
Mitigating Bias in Machine Learning
Language: en
Pages: 249
Authors: Carlotta A. Berry
Categories: Technology & Engineering
Type: BOOK - Published: 2024-10-18 - Publisher: McGraw Hill Professional

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This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors
The Tyranny of Algorithms
Language: en
Pages: 74
Authors: Miguel Benasayag
Categories: Philosophy
Type: BOOK - Published: 2021-05-13 - Publisher: Europa Editions UK

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The impact of the digital world and its algorithms on human beings and society We read all sorts of things about AI, as the promise of a future happiness or as
Data Feminism
Language: en
Pages: 328
Authors: Catherine D'Ignazio
Categories: Social Science
Type: BOOK - Published: 2020-03-31 - Publisher: MIT Press

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A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It ha
The Uninhabitable Earth
Language: en
Pages: 384
Authors: David Wallace-Wells
Categories: Science
Type: BOOK - Published: 2019-02-19 - Publisher: Tim Duggan Books

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#1 NEW YORK TIMES BESTSELLER • “The Uninhabitable Earth hits you like a comet, with an overflow of insanely lyrical prose about our pending Armageddon.”�