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Data Democracy
At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering
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Main description:

Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data? At this point, not you! You do not even have access to most of it. The next best empire of our planet is one who owns and controls the world's best dataset. If you consume or create data, if you are a citizen of the data republic (willingly or grudgingly), and if you are interested in making a decision or finding the truth through data-driven analysis, this book is for you. A group of experts, academics, data science researchers, and industry practitioners gathered to write this manifesto about data democracy.


Contents:

Section I The data republic 1. Data democracy for you and me (bias, truth, and context) 2. Data citizens: rights and responsibilities in a data republic 3. The history and future prospects of open data and open source software 4. Mind mapping in arti?cial intelligence for data democracy 5. Foundations of data imbalance and solutions for a data democracy

Section II Implications of a data democracy 6. Data openness and democratization in healthcare: an evaluation of hospital ranking methods 7. Knowledge formulation in the health domain: a semiotics-powered approach to data analytics and democratization 8. Landsat's past paves the way for data democratization in earth science 9. Data democracy for psychology: how do people use contextual data to solve problems and why is that important for AI systems? 10. The application of arti?cial intelligence in software engineering: a review challenging conventional wisdom


PRODUCT DETAILS

ISBN-13: 9780128183663
Publisher: Elsevier (Academic Press Inc)
Publication date: January, 2020
Pages: 232
Weight: 540g
Availability: Available
Subcategories: Biomedical Engineering

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