Buch

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Übersicht

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Verlag	:	Springer International Publishing
Buchreihe	:	Studies in Big Data (Bd. 32)
Sprache	:	Englisch
Erschienen	:	28. 07. 2018
Seiten	:	215
Einband	:	Kartoniert
Höhe	:	235 mm
Breite	:	155 mm
Gewicht	:	367 g
ISBN	:	9783319852997
Sprache	:	Englisch

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Inhaltsverzeichnis

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Part I: Transparent Mining.- Chapter 1: The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good.- Chapter 2: Enabling Accountability of Algorithmic Media: Transparency as a Constructive and Critical Lens.- Chapter 3: The Princeton Web Transparency and Accountability Project.- Part II: Algorithmic solutions.- Chapter 4: Algorithmic Transparency via Quantitative Input Influence.- Chapter 5.- Learning Interpretable Classification Rules with Boolean Compressed Sensing.- Chapter 6: Visualizations of Deep Neural Networks in Computer Vision: A Survey.- Part III: Regulatory solutions.- Chapter 7: Beyond the EULA: Improving Consent for Data Mining.- Chapter 8: Regulating Algorithms Regulation? First Ethico-legal Principles, Problems and Opportunities of Algorithms.- Chapter 9: Algorithm Watch: What Role Can a Watchdog Organization Play in Ensuring AlgorithmicAccountability?

Deine Buchhandlung

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