@techreport{ZerfassStieglitzClausenetal.2023, author = {Zerfaß, Ansgar and Stieglitz, Stefan and Clausen, S{\"u}nje and Ziegele, Daniel and Berger, Karen}, title = {Communications trend radar 2023}, series = {Communication insights}, volume = {17}, journal = {Communication insights}, publisher = {Academic Society for Management \& Communication}, address = {Leipzig}, issn = {2749-893X}, doi = {10419/270993}, pages = {35}, year = {2023}, abstract = {How do social changes, new technologies or new management trends affect communication work? A team of researchers at Leipzig University and the University of Potsdam (Germany) observed new developments in related disciplines. As a result, the five most important trends for corporate communications are identified annually and published in the Communications Trend Radar. Thus, Communications managers can identify challenges and opportunities at an early stage, take a position, address issues and make decisions. For 2023, the Communications Trend Radar identifies five key trends for corporate communications: State Revival, Scarcity Management, Unimagination, Parallel Worlds, Augemented Workflows.}, language = {en} } @inproceedings{KocurClausenHofeditzetal.2023, author = {Kocur, Alexander and Clausen, S{\"u}nje and Hofeditz, Lennart and Br{\"u}nker, Felix and Fromm, Jennifer and Stieglitz, Stefan}, title = {Fighting false information}, series = {ECIS 2023 research-in-progress papers}, booktitle = {ECIS 2023 research-in-progress papers}, publisher = {AIS Electronic Library (AISeL)}, address = {[Erscheinungsort nicht ermittelbar]}, pages = {12}, year = {2023}, abstract = {The digital transformation poses challenges for public sector organizations (PSOs) such as the dissemination of false information in social media which can cause uncertainty among citizens and decrease trust in the public sector. Some PSOs already successfully deploy conversational agents (CAs) to communicate with citizens and support digital service delivery. In this paper, we used design science research (DSR) to examine how CAs could be designed to assist PSOs in fighting false information online. We conducted a workshop with the municipality of Kristiansand, Norway to define objectives that a CA would have to meet for addressing the identified false information challenges. A prototypical CA was developed and evaluated in two iterations with the municipality and students from Norway. This research-in-progress paper presents findings and next steps of the DSR process. This research contributes to advancing the digital transformation of the public sector in combating false information problems.}, language = {en} } @inproceedings{ClausenBruenkerStieglitz2023, author = {Clausen, S{\"u}nje and Br{\"u}nker, Felix and Stieglitz, Stefan}, title = {Towards responsible augmentation}, series = {ACIS 2023 proceedings}, booktitle = {ACIS 2023 proceedings}, publisher = {Australasian Association for Information Systems}, address = {Wellington}, pages = {9}, year = {2023}, abstract = {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.}, language = {en} }