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Abstract

Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work... the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these case studies, the authors provide a better understanding of machine fairness and algorithmic transparency. They explain why interventions in algorithmic systems are necessary to ensure that algorithms are not used to control citizens' participation in politics and undercut democracy. This title is also available as Open Access on Cambridge Core

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Content

Section 1 Context and purpose of knowledge architecture -- 1 Making the case for knowledge architecture -- 2 The landscape of knowledge assets -- 3 Knowledge architecture and design -- 4 Knowledge architecture reference model -- 5 Knowledge architecture segments -- Section 2 Designing for availability -- 6 Knowledge object modeling -- 7 Knowledge structures for encoding, formatting, and packaging -- 8 Functional architecture for identification and distinction -- 9 Functional architectures for knowledge asset disposition and destruction -- 10 Functional architecture designs for knowledge preservation and conservation -- Section 3 Designing for accessibility -- 11 Functional architectures for knowledge seeking and discovery -- 12 Functional architecture for knowledge search -- 13 Functional architecture for knowledge categorization -- 14 Functional architectures for indexing and keywording -- 15 Functional architecture for knowledge semantics -- 16 Functional architecture for knowledge abstraction and surrogation -- Section 4 Functional architectures to support knowledge consumption -- 17 Functional architecture for knowledge augmentation, derivation, and synthesis -- 18 Functional architecture to manage risk and harm -- 19 Functional architectures for knowledge authentication and provenance -- 20 Functional architectures for securing knowledge assets -- 21 Functional architectures for authorization and asset management -- Section 5 Pulling it all together - the big picture knowledge architecture -- 22 Functional architecture for knowledge metadata and metainformation -- 23 The whole knowledge architecture - pulling it all together

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Date

22. 6.2023 18:25:18

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Abstract

This comprehensive text is the ideal resource for teaching human information behavior to undergraduate students. The text is organized in a thoughtful way to address all the most important aspects in an easy to digest manner, with the latter part of the book focusing on key areas of study within the information behavior field. The real world examples included in the text will appeal to undergraduate students and help them connect to what information behavior looks like in practice. The authors write in a winningly approachable style that will help students connect with the key concepts. I particularly like the inclusion of Discussion Questions which can be used by instructors as either homework or in class discussion points to foster a rich dialogue about each of the chapters. Applicable research studies are introduced in the text in an approachable way which will facilitate undergraduate engagement with the ongoing work in the discipline. The acronyms list and glossary at the back of the book are two additional, helpful resources for undergraduates to get caught up to speed on the most important topics under the umbrella of human information behavior.-- [Emily Vardell, PhD, assistant professor, School of Library and Information Management, Emporia State University]. Extremely accessible, comprehensive, and useful, Understanding Human Information Behavior: When, How, and Why People Interact with Information discusses the relevance and significance of its subject to our work and everyday life and is well-positioned to empower students to become helpful information and technology professionals.-- [Yan Zhang, associate professor, School of Information, The University of Texas at Austin].