Autorin

Katharina Zweig

Jahr

2023

Zusammenfassung

Dass Algorithmen über Menschen und deren Zukunft entscheiden, scheint unausweichlich zu sein – wir alle sind längst den Urteilen von Künstlicher Intelligenz ausgesetzt: Immer mehr Firmen lassen Bewerbungen automatisiert bewerten, und immer mehr Menschen bekommen Bescheide oder Auskünfte, die durch Maschinen vorbereitet wurden. Doch nicht alle diese algorithmisch getroffenen Entscheidungen sind korrekt, es gibt immer wieder Fälle, in denen KI diskriminiert, Unschuldige eines Verbrechens beschuldigt oder gar Leben gefährdet. Katharina Zweig, vielfach ausgezeichnete Informatikprofessorin, erklärt unterhaltsam und anhand spannender aktueller Fälle, wie wir falsche Entscheidungen erkennen und uns dagegen wehren können. Denn wir sollten wissen, worauf wir achten müssen, damit Algorithmen nach unseren Regeln spielen und nicht nach ihren eigenen.

Wissenswertes

Spiegel Bestseller

Autorin

Katharina Zweig

Jahr

2022

Zusammenfassung

Before we know it, artificial intelligence (AI) will work its way into every corner of our lives, making decisions about, with, and for us. Is this a good thing? There’s a tendency to think that machines can be more “objective” than humans—can make better decisions about job applicants, for example, or risk assessments. In Awkward Intelligence, AI expert Katharina Zweig offers readers the inside story, explaining how many levers computer and data scientists must pull for AI’s supposedly objective decision making. She presents the good and the bad: AI is good at processing vast quantities of data that humans cannot—but it’s bad at making judgments about people.

Autorin

Katharina Zweig, Tobias Krafft, Anita Klingel, Enno Park

Jahr

2021

Zusammenfassung

"Sozioinformatik" bietet eine Einführung in die Modellierung und Analyse von digitalen Technologien und eine neue Methodik zur Technikfolgenabschätzung anhand von realen gesellschaftlichen Beispielen.

Wissenswertes

Das Buch ist das Lehrbuch des Kurses "Einführung in die Sozioinformatik", s. hier.

Autorin

Katharina Zweig

Jahr

2019

Zusammenfassung

Künstliche Intelligenz und Algorithmen erleichtern in Form von Navis, Rechtschreibprogrammen, Suchergänzungen oder Kaufempfehlungen schon lange unseren Alltag. Aber sie hinterlassen oft auch ein mulmiges Gefühl, weil wir nicht so recht verstehen, was da passiert. Katharina Zweig, IT-Expertin für Sozioinformatik und vielfach ausgezeichnete Informatikprofessorin, erklärt mit Witz und anhand einfacher Beispiele und Illustrationen, was Algorithmen eigentlich genau sind, wie sie funktionieren, welche völlig harmlos sind und welche uns tatsächlich Sorgen bereiten sollten. Damit wir wissen, worauf wir achten müssen, wo wir uns einmischen und Politik und Wirtschaft genauer auf die Finger schauen müssen, wenn wir diese Technik in menschlicher Hand behalten, ihre positiven Eigenschaften nutzen und die negativen kontrollieren wollen.

Wissenswertes

Dieses Buch stand für 11 Wochen in der Spiegel-Bestsellerliste Paperback Sachbuch.

Autorin

Katharina Zweig

Jahr

2016

Zusammenfassung

This book presents a perspective of network analysis as a tool to find and quantify significant structures in the interaction patterns between different types of entities. Moreover, network analysis provides the basic means to relate these structures to properties of the entities. It has proven itself to be useful for the analysis of biological and social networks, but also for networks describing complex systems in economy, psychology, geography, and various other fields. Today, network analysis packages in the open-source platform R and other open-source software projects enable scientists from all fields to quickly apply network analytic methods to their data sets. Altogether, these applications offer such a wealth of network analytic methods that it can be overwhelming for someone just entering this field. This book provides a road map through this jungle of network analytic methods, offers advice on how to pick the best method for a given network analytic project, and how to avoid common pitfalls. It introduces the methods which are most often used to analyze complex networks, e.g., different global network measures, types of random graph models, centrality indices, and networks motifs. In addition to introducing these methods, the central focus is on network analysis literacy – the competence to decide when to use which of these methods for which type of question. Furthermore, the book intends to increase the reader's competence to read original literature on network analysis by providing a glossary and intensive translation of formal notation and mathematical symbols in everyday speech. Different aspects of network analysis literacy – understanding formal definitions, programming tasks, or the analysis of structural measures and their interpretation – are deepened in various exercises with provided solutions. This text is an excellent, if not the best starting point for all scientists who want to harness the power of network analysis for their field of expertise.

Herausgeber

Ralf Dörner, Stefan Göbel, Michael Kickmeier-Rust, Maic Masuch, Katharina Zweig

Jahr

2015

Zusammenfassung

The aim of this book is to collect and to cluster research areas in the field of serious games and entertainment computing. It provides an introduction and gives guidance for the next generation of researchers in this field. The 18 papers presented in this volume, together with an introduction, are the outcome of a GI-Dagstuhl seminar which was held at Schloß Dagstuhl in July 2015.

Herausgeber

Jürgen Lerner, Dorothea Wagner, Katharina Zweig

Jahr

2009

Zusammenfassung

Networks play a central role in today’s society, since many sectors employing information technology, such as communication, mobility, and transport - even social interactions and political activities - are based on and rely on networks. In these times of globalization and the current global financial crisis with its complex and nearly incomprehensible entanglements of various structures and its huge effect on seemingly unrelated institutions and organizations, the need to understand large networks, their complex structures, and the processes governing them is becoming more and more important.
This state-of-the-art survey reports on the progress made in selected areas of this important and growing field, thus helping to analyze existing large and complex networks and to design new and more efficient algorithms for solving various problems on these networks since many of them have become so large and complex that classical algorithms are not sufficient anymore. This volume emerged from a research program funded by the German Research Foundation (DFG) consisting of projects focusing on the design of new discrete algorithms for large and complex networks. The 18 papers included in the volume present the results of projects realized within the program and survey related work. They have been grouped into four parts: network algorithms, traffic networks, communication networks, and network analysis and simulation.