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Artificial intelligence (AI)-based technologies can increasingly perform knowledge work tasks, such as medical diagnosis. Thereby, it is expected that humans will not be replaced by AI but work closely with AI-based technology (“augmentation”). Augmentation has ethical implications for humans (e.g., impact on autonomy, opportunities to flourish through work), thus, developers and managers of AI-based technology have a responsibility to anticipate and mitigate risks to human workers. However, doing so can be difficult as AI encompasses a wide range of technologies, some of which enable fundamentally new forms of interaction. In this research-in-progress paper, we propose the development of a taxonomy to categorize unique characteristics of AI-based technology that influence the interaction and have ethical implications for human workers. The completed taxonomy will support researchers in forming cumulative knowledge on the ethical implications of augmentation and assist practitioners in the ethical design and management of AI-based technology in knowledge work.
Towards a financial perspective on virtual communities : the case of the Berlin Stock Exchange
(2008)
Despite energy efficiency measures, global energy demand has gradually increased due to global economic growth and changes in consumer behavior. Even if people are aware of the problem and want to change their energy consumption, they have difficulty acting on their attitudes. This is called the attitude-behavior gap. To narrow this gap and reduce energy consumption and CO2 emissions, behavioral interventions beyond technological advances must be considered. A promising intervention is nudging, which uses insights from behavioral economics to gently nudge individuals toward more sustainable choices. In this study, we investigate how modifying digital choice architectures with nudges can be used to influence consumer energy conservation behavior in smart home applications (SHAs). We conducted an online experiment with 391 participants to test the effectiveness of the following three digital nudges in an SHA: self-commitment, reminder, and social norm nudge. While the results of a structural equation model indicated no effect on bridging the gap between attitude and behavior, we found the potential to promote energy conservation with two nudge types. Thus, this paper makes substantial contribution to persuasive and information systems-enabled sustainability for a better world in the form of digital nudges for emerging technologies.
The concept of the virtual corporation (VC), which describes a modern form of collaboration among organizations, was introduced in the scientific discussion in the mid 1990th. The practice shows that VCs need new forms of governance because the traditional mechanisms of control, management, and steering are hardly applicable. Until now there is only a few research related to the question how to govern VC. The main problems to govern a VC are to coordinate the communication among dispersed partners and to motivate employees to actively involve themselves into the network. Open source projects are confronted with similar problems. As several governance mechanisms are already analyzed in this context, the authors analyze and adopt governance concepts from open source projects to extract a governance framework for virtual corporations. This new approach leads to innovative insights in governing virtual corporations by using community techniques as an appropriate way for communication and collaboration purposes.
The concept of the virtual corporation (VC), which describes a modern form of collaboration among organizations, was introduced in the scientific discussion in the mid 1990th. The practice shows that VCs need new forms of governance because the traditional mechanisms of control, management, and steering are hardly applicable. Until now there is only a few research related to the question how to govern VC. The main problems to govern a VC are to coordinate the communication among dispersed partners and to motivate employees to actively involve themselves into the network. Open source projects are confronted with similar problems. As several governance mechanisms are already analyzed in this context, the authors analyze and adopt governance concepts from open source projects to extract a governance framework for virtual corporations. This new approach leads to innovative insights in governing virtual corporations by using community techniques as an appropriate way for communication and collaboration purposes.
Virtuelle Communities bezeichnen Gemeinschaften von Individuen, die maßgeblich über das Internet miteinander kommunizieren und kollaborieren. Anders als in Unternehmen, in denen Motivationsstrukturen primär auf finanziellen Anreizen basieren, gilt für Virtuelle Communities, dass die Zuarbeit in diesen in der Regel freiwillig und ohne monetäre Interessen der Mitglieder stattfindet. Unternehmen nutzen Virtuelle Communities für Zwecke des Customer Relationship Management, des Wissensmanagement und des Customer Integration. Universitäten bilden virtuelle Lernnetzwerke, um die Interaktion zwischen Studierenden zu erhöhen und hierdurch Lernerfolge zu steigern. Die Potenziale Virtueller Communities werden jedoch in vielen Fällen nicht vollständig ausgeschöpft. Insbesondere der Frage nach einer systematischen Mitgliedersteuerung kommt aufgrund der vorherrschenden komplexen Motivationsstrukturen der freiwillig partizipierenden Mitglieder eine besondere Bedeutung zu. In bisherigen wissenschaftlichen Arbeiten wurde dieser Aspekt jedoch vernachlässigt. Das Untersuchungsdesign der Arbeit zielt darauf ab, diese Forschungslücke zu schließen und einen Ordnungsrahmen zu gestalten, der einen systematischen Aufbau, Betrieb und insbesondere eine Steuerung Virtueller Communities ermöglicht. Die Identifikation von Steuerungsinstrumenten wurde im Rahmen der Arbeit durch eine Analyse der Strukturen und Funktionsweisen in Open Source-Projekten vorgenommen, anschließend wurden diese auf andere Typen Virtueller Communities übertragen. Im Rahmen zweier Fallstudien wurde der entwickelte Ordnungsrahmen unter realen Bedingungen an einem Expertennetzwerk an der Börse Berlin AG und einem universitären Lernnetzwerk erprobt. Die anschließende Analyse gibt Aufschluss über die Wirkungsweisen wettbewerblicher, kooperativer und hierarchischer Steuerungsinstrumente in Virtuellen Communities.
During the outbreak of the COVID-19 pandemic, many people shared their symptoms across Online Social Networks (OSNs) like Twitter, hoping for others’ advice or moral support. Prior studies have shown that those who disclose health-related information across OSNs often tend to regret it and delete their publications afterwards. Hence, deleted posts containing sensitive data can be seen as manifestations of online regrets. In this work, we present an analysis of deleted content on Twitter during the outbreak of the COVID-19 pandemic. For this, we collected more than 3.67 million tweets describing COVID-19 symptoms (e.g., fever, cough, and fatigue) posted between January and April 2020. We observed that around 24% of the tweets containing personal pronouns were deleted either by their authors or by the platform after one year.
As a practical application of the resulting dataset, we explored its suitability for the automatic classification of regrettable content on Twitter.