TY - JOUR A1 - Hofeditz, Lennart A1 - Mirbabaie, Milad A1 - Ortmann, Mara T1 - Ethical challenges for human–agent interaction in virtual collaboration at work JF - International journal of human computer interaction N2 - In virtual collaboration at the workplace, a growing number of teams apply supportive conversational agents (CAs). They take on different work-related tasks for teams and single users such as scheduling meetings or stimulating creativity. Previous research merely focused on these positive aspects of introducing CAs at the workplace, omitting ethical challenges faced by teams using these often artificial intelligence (AI)-enabled technologies. Thus, on the one hand, CAs can present themselves as benevolent teammates, but on the other hand, they can collect user data, reduce worker autonomy, or foster social isolation by their service. In this work, we conducted 15 expert interviews with senior researchers from the fields of ethics, collaboration, and computer science in order to derive ethical guidelines for introducing CAs in virtual team collaboration. We derived 14 guidelines and seven research questions to pave the way for future research on the dark sides of human–agent interaction in organizations. KW - conversational agents KW - human–computer interaction KW - virtual collaboration KW - ethics KW - virtual teams KW - trust Y1 - 2023 U6 - https://doi.org/10.1080/10447318.2023.2279400 SN - 1044-7318 SN - 1532-7590 PB - Taylor & Francis CY - New York, NY ER - TY - CHAP A1 - Clausen, Sünje A1 - Brünker, Felix A1 - Stieglitz, Stefan T1 - Towards responsible augmentation BT - identifying characteristics of AI-based technology with ethical implications for knowledge workers T2 - ACIS 2023 proceedings N2 - 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. KW - artificial intelligence KW - augmentation KW - taxonomy KW - human-AI interaction KW - ethics Y1 - 2023 UR - https://aisel.aisnet.org/acis2023/123/ PB - Australasian Association for Information Systems CY - Wellington ER - TY - JOUR A1 - Adnan, Hassan Sami A1 - Srsic, Amanda A1 - Venticich, Pete Milos A1 - Townend, David M.R. T1 - Using AI for mental health analysis and prediction in school surveys JF - European journal of public health N2 - Background: Childhood and adolescence are critical stages of life for mental health and well-being. Schools are a key setting for mental health promotion and illness prevention. One in five children and adolescents have a mental disorder, about half of mental disorders beginning before the age of 14. Beneficial and explainable artificial intelligence can replace current paper- based and online approaches to school mental health surveys. This can enhance data acquisition, interoperability, data driven analysis, trust and compliance. This paper presents a model for using chatbots for non-obtrusive data collection and supervised machine learning models for data analysis; and discusses ethical considerations pertaining to the use of these models. Methods: For data acquisition, the proposed model uses chatbots which interact with students. The conversation log acts as the source of raw data for the machine learning. Pre-processing of the data is automated by filtering for keywords and phrases. Existing survey results, obtained through current paper-based data collection methods, are evaluated by domain experts (health professionals). These can be used to create a test dataset to validate the machine learning models. Supervised learning can then be deployed to classify specific behaviour and mental health patterns. Results: We present a model that can be used to improve upon current paper-based data collection and manual data analysis methods. An open-source GitHub repository contains necessary tools and components of this model. Privacy is respected through rigorous observance of confidentiality and data protection requirements. Critical reflection on these ethics and law aspects is included in the project. Conclusions: This model strengthens mental health surveillance in schools. The same tools and components could be applied to other public health data. Future extensions of this model could also incorporate unsupervised learning to find clusters and patterns of unknown effects. KW - ethics KW - artificial intelligence KW - adolescent KW - child KW - confidentiality KW - health personnel KW - mental disorders KW - mental health KW - personal satisfaction KW - privacy KW - school (environment) KW - statutes and laws KW - public health medicine KW - surveillance KW - medical KW - prevention KW - datasets KW - machine learning KW - supervised machine learning KW - data analysis Y1 - 2020 U6 - https://doi.org/10.1093/eurpub/ckaa165.336 SN - 1101-1262 SN - 1464-360X VL - 30 SP - V125 EP - V125 PB - Oxford Univ. Press CY - Oxford [u.a.] ER - TY - CHAP A1 - Wiemann, Dirk T1 - Being Taught Something World-Sized BT - 'The Detainee's Tale as Told to Ali Smith and the Work of World Literature T2 - The Work of World Literature N2 - This paper reads ‘The Detainee’s Tale as told to Ali Smith’ (2016) as an exemplary demonstration of the work of world literature. Smith’s story articulates an ethics of reading that is grounded in the recipient’s openness to the singular, unpredictable, and unverifiable text of the other. More specifically, Smith’s account enables the very event that it painstakingly stages: the encounter with alterity and newness, which is both the theme of the narrative and the effect of the text on the reader. At the same time, however, the text urges to move from an ethics of literature understood as the responsible reception of the other by an individual reader to a more explicitly convivial and political ethics of commitment beyond the scene of reading. KW - Ali Smith KW - anagogy KW - ethics KW - Refugee Tales KW - singularity KW - world literature Y1 - 2021 SN - 978-3-96558-011-4 SN - 978-3-96558-012-1 SN - 978-3-96558-013-8 SN - 978-3-96558-022-0 U6 - https://doi.org/10.37050/ci-19_07 SN - 2627-728X SN - 2627-731X VL - 2021 SP - 149 EP - 172 PB - ICI Berlin Press CY - Berlin ER - TY - JOUR A1 - Wiemann, Dirk ED - Robinson, Benjamin Lewis T1 - Being Taught Something World-Sized BT - 'The Detainee's Tale as Told to Ali Smith' and the Work of World Literature JF - The Work of World Literature N2 - This paper reads ‘The Detainee’s Tale as told to Ali Smith’ (2016) as an exemplary demonstration of the work of world literature. Smith’s story articulates an ethics of reading that is grounded in the recipient’s openness to the singular, unpredictable, and unverifiable text of the other. More specifically, Smith’s account enables the very event that it painstakingly stages: the encounter with alterity and newness, which is both the theme of the narrative and the effect of the text on the reader. At the same time, however, the text urges to move from an ethics of literature understood as the responsible reception of the other by an individual reader to a more explicitly convivial and political ethics of commitment beyond the scene of reading. KW - Ali Smith KW - anagogy KW - ethics KW - Refugee Tales KW - singularity KW - world literature Y1 - 2021 U6 - https://doi.org/10.37050/ci-19_07 SN - 2627-728X SN - 2627-731X SP - 149 EP - 172 PB - ICI Press CY - Berlin ER -