Data Conscience (e-bog) af Marshall, Brandeis Hill

Data Conscience e-bog

295,53 DKK (inkl. moms 369,41 DKK)
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 m...
E-bog 295,53 DKK
Forfattere Marshall, Brandeis Hill (forfatter), Gebru, Timnit (introduktion)
Forlag Wiley
Udgivet 15 august 2022
Genrer Computer networking and communications
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781119821199
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