Risk and the future of AI: Algorithmic bias, data colonialism, and marginalization

2023 | Information and Organization | Citations: 0

Authors: Arora, A.; Barrett, M.; Lee, E.; Oborn, E.; Prince, K.

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Topics: artificial intelligence algorithmic bias responsible artificial intelligence legal context outsourcing

Methods: computational algorithm design methodology generative adversarial network

DrugExBERT for Pharmacovigilance – A Novel Approach for Detecting Drug Experiences from User-Generated Content

2023 | International Conference on Information Systems | Citations: 0

Authors: Bohnen, Eva; Erlebach, Stefanie; Zimmermann, Steffen

Abstract: Pharmaceutical companies have to maintain drug safety through pharmacovigilance ... Expand

Abstract: Pharmaceutical companies have to maintain drug safety through pharmacovigilance systems by monitoring various sources of information about adverse drug experiences. Recently, user-generated content (UGC) has emerged as a valuable source of real-world drug experiences, posing new challenges due to its high volume and variety. We present DrugExBERT, a novel approach to extract adverse drug experiences (adverse reaction, lack of effect) and supportive drug experiences (effectiveness, intervention, indication, and off-label use) from UGC. To be able to verify the extracted drug experiences, DrugExBERT additionally provides explications in the form of UGC phrases that were critical for the extraction. In our evaluation, we demonstrate that DrugExBERT outperforms state-of-the-art pharmacovigilance approaches as well as ChatGPT on several performance measures and that DrugExBERT is data-and drug-agnostic. Thus, our novel approach can help pharmaceutical companies meet their legal obligations and ethical responsibility while ensuring patient safety and monitoring drug effectiveness. Collapse

Topics: health information system application programming interface generative AI database system

Methods: chatGPT natural language processing RoBERTa BERT machine learning

Editor's Comments: Editing Innovation in MIS Quarterly

2023 | Management Information Systems Quarterly | Citations: 0

Authors: Burton-Jones, Andrew

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Topics: innovation management generative AI IS discipline brainstorming knowledge sharing

Methods: design science

Theories: semiotic theory

Pickled eggs: Generative AI as research assistant or co-author?

2023 | Information Systems Journal | Citations: 0

Authors: Davison, Robert M.; Laumer, Sven; Tarafdar, Monideepa; Wong, Louie H. M.

Abstract: ChatGPT' indicates approximately 416 million hits, while Google Scholar suggest ... Expand

Abstract: ChatGPT' indicates approximately 416 million hits, while Google Scholar suggests 4710 articles, a number that is likely to rise fast. Generative AI is clearly here to stay, though there are already calls to curtail its use and some countries appear to be banning it. Interestingly, we already see the roll-out of generative AI detection software with tools like GPTZero. The plagiarism detection tool, iThenticate, is likely to follow up and embed generative AI detection as well. In order to reflect on this rapidly developing phenomenon, we conducted a sentiment and topic analysis of Twitter tweets about ChatGPT in academia. We analysed 12 400 tweets over a 3-month period from late 2022 to early 2023. 3680 tweets display a positive sentiment, 2612 display a negative one and 6109 display a neutral view. This pattern already exhibits a shift from the earlier reactions which were predominantly negative. Nevertheless, the topics discussed in these tweets are similar and can be subsumed within two major streams: research and publication. | WHY DOES IT MATTER TO ISJ READERS?Our focus in this editorial is on the practicalities of applying generative AI in the academic research community. The stakeholders of relevance here are authors, reviewers, editors and readers (scholars and practitioners) of ISJ, and also its publisher. All of these stakeholders have a commitment to and interest in the undertaking and publishing of academic research. Indeed, research and publication are the twin pillars on which a scholarly journal stands. Emerging articles comment on the strengths, weaknesses, opportunities and threats of generative AI in the context of research (see for instance Dwivedi et al., 2023, for an extensive account). In academia, there is an ongoing debate on the various implications that the technology may have. | WHY IS GENERATIVE AI RELEVANT TO RESEARCH?The title of this editorial, viz.: "pickled eggs", should have given some pause for thought. As it happened the collaborators of one of the co-authors of this editorial used a generative AI assistant (Microsoft Office 365's transcription function) to convert an audio file (of an interview with a research subject) to text. In that interview, reference was made to "pico-x", the name of a software. The generative AI assistant duly rendered this as "pickled eggs", presumably the closest term in its vocabulary. Reading through the transcript, numerous errors appeared: personal, product or place names were routinely misspelled, but so too were more mundane expressions. Similar errors occurred in Chinese where an interviewee used the English letters EDI (Electronic Data Interchange) in the middle of what was otherwise a Chinese sentence. The generative AI assistant, which was set up to transcribe Chinese audio to Chinese text, correctly transcribed all the Chinese words into characters, but made an error with EDI, which it also converted Collapse

Topics: Twitter knowledge sharing electronic health digital ecosystem participatory design

Methods: experiment survey design methodology action research chatGPT

Theories: affect theory

The practitioner perspective

2023 | Information Systems Journal | Citations: 0

Authors: Davison, Robert M.; Marabelli, Marco; Tim, Yenni; Beath, Cynthia

Abstract: The Information Systems (IS) discipline traces its origins to issues that were ... Expand

Abstract: The Information Systems (IS) discipline traces its origins to issues that were of interest to practitioners, but in recent years the practitioner perspective has often been neglected. Nevertheless, there is increasing recognition that the practitioner's perspective is still important and that the research we undertake can (or should) have implications for practitioners. Journals like MIS Quarterly Executive target this segment exclusively. In this, they complement non-IS journals and magazines in the broader business and technology spheres that also have practitioners in mind, including: Harvard Business Review, Sloan Management Review, California Management Review, Communications of the ACM, McKinsey Quarterly, Academy of Management Perspectives, CIO Magazine, etc. Moreover, some of the existing journals that are predominantly focused on publishing theoretical contributions, for example, the journals that make up the Association of Information Systems' College of Senior Scholars list of eleven premier journals, 1 have also demonstrated that they are open to practitioner-oriented submissions.The Information Systems Journal (ISJ) has for several years championed the publication of what we call Practitioner Papers (PPs). PPs can contribute to knowledge in a number of different ways, but one of our key objectives in promoting PPs is to further the dialogue between academia and practice. As part of this dialogue, PPs should provide deep insights for researchers into the practitioner's experience with IS in a particular context, as well as, of course, prescriptive and actionable recommendations for practice based on well executed research. Insights for practice may include reframing or reimagining specific practitioner problems, offering a thorough exploration of a phenomenon, documenting lessons learned by practitioners, or illustrating good practices and their outcomes. To render these insights actionable, these articles will include action-oriented prescriptions that suggest what practitioners should do differently in practice.While practitioners are the primary intended audience of PPs, academic researchers may also benefit, for instance when PPs engage with new phenomena and propose new insights that challenge and extend the existing discourse. Such outcomes can inspire future academic work to re-examine those prior findings, perhaps as part of the researcher's problematisation of the phenomenon (Chatterjee & Davison, 2021).Although practitioners are commonly thought of as working in or for organisations, we recognise that practitioners can be found in diverse settings and may not necessarily be serving a corporate entity. We can find practitioners in the political spectrum (i.e., lawmakers), non-governmental organisations, charities, villages, and communities. They may be formally employed, working as activists, or simply citizens with an interest in using IS to make the world a better place (Walsham, 2012).Submissions in the PP genre at the ISJ have been sporadic and the quality has varied. Examples of published PPs are Tamm et al. (2022) andTim et al. (2021), while Pan and Pee (2020) offer a framework for demonstrating the impact of research on practice. To further encourage the undertaking of practitioner-oriented research, we have recently both reformulated our PP guidelines 2 and announced a special issue 3 that focuses exclusively on practice.Our aim is to spur further practitioner-oriented work.As with regular research articles, PPs could be written about a wide range of topics within the broad IS domain.Like all premier journals, we seek to publish cutting edge research that advances knowledge in the IS domain. Thus, we do not intend that PPs be used as a vehicle for teaching cases, or low quality (rejected) research articles that have 1 https://aisnet.org/page/SeniorScholarListofPremierJournals Collapse

Topics: blockchain generative AI artificial intelligence robotic digital twin

Methods: simulation

Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

2023 | International Journal of Information Management | Citations: 0

Authors: Dwivedi, Yogesh K.; Kshetri, Nir; Hughes, Laurie; Slade, Emma Louise; Jeyaraj, Anand; Kar, Arpan Kumar; Baabdullah, Abdullah M.; Koohang, Alex; Raghavan, Vishnupriya; Ahuja, Manju; Albanna, Hanaa; Albashrawi, Mousa Ahmad; Al-Busaidi, Adil S.; Balakrishnan, Janarthanan; Barlette, Yves; Basu, Sriparna; Bose, Indranil; Brooks, Laurence; Buhalis, Dimitrios; Carter, Lemuria; Chowdhury, Soumyadeb; Crick, Tom; Cunningham, Scott W.; Davies, Gareth H.; Davison, Robert M.; Dé, Rahul; Dennehy, Denis; Duan, Yanqing; Dubey, Rameshwar; Dwivedi, Rohita; Edwards, John S.; Flavián, Carlos; Gauld, Robin; Grover, Varun; Hu, Mei-Chih; Janssen, Marijn; Jones, Paul; Junglas, Iris; Khorana, Sangeeta; Kraus, Sascha; Larsen, Kai R.; Latreille, Paul; Laumer, Sven; Malik, F. Tegwen; Mardani, Abbas; Mariani, Marcello; Mithas, Sunil; Mogaji, Emmanuel; Nord, Jeretta Horn; O’Connor, Siobhan; Okumus, Fevzi; Pagani, Margherita; Pandey, Neeraj; Papagiannidis, Savvas; Pappas, Ilias O.; Pathak, Nishith; Pries-Heje, Jan; Raman, Ramakrishnan; Rana, Nripendra P.; Rehm, Sven-Volker; Ribeiro-Navarrete, Samuel; Richter, Alexander; Rowe, Frantz; Sarker, Suprateek; Stahl, Bernd Carsten; Tiwari, Manoj Kumar; Van Der Aalst, Wil; Venkatesh, Viswanath; Viglia, Giampaolo; Wade, Michael; Walton, Paul; Wirtz, Jochen; Wright, Ryan

Abstract: ☆ This editorial opinion paper provides a subjective viewpoint on the potential ... Expand

Abstract: ☆ This editorial opinion paper provides a subjective viewpoint on the potential impact of generative AI technologies such as ChatGPT in the domains of education, business, and society. Its objective is to offer initial guidance on the opportunities, challenges, and implications associated with these technologies. It is worth noting that, given its nature as an editorial opinion piece, this submission has not undergone a formal double-blind review process but has been reviewed informally by appropriate experts.Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT's capabilities to enhance productivity and suggest that it is likely to offer 1 Equal contributions Y.K. Dwivedi et al.International Journal of Information Management 71 (2023) 102642 3 significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT's use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts. Collapse

Topics: artificial intelligence generative AI Twitter privacy innovation management

Methods: chatGPT chatbot generative pre-trained transformer literature study language model

Generative AI in Idea Development: The Role of Numeric and Visual Feedback

2023 | International Conference on Information Systems | Citations: 0

Authors: Gordetzki, Philipp; Blohm, Ivo; Hofstetter, Reto

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Topics: artificial intelligence innovation management generative AI human computer interaction human AI collaboration

Methods: experiment statistical hypothesis test experimental group survey experimental design

Theories: media synchronicity theory dual-coding theory

ChatGPT and GPTZero in Research and Social Media: A Sentiment- and Topic-based Analysis

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Heumann, Maximilian; Kraschewski, Tobias; Breitner, Michael H.

Abstract: Conversational AI agents like ChatGPT have gained considerable attention in rec ... Expand

Abstract: Conversational AI agents like ChatGPT have gained considerable attention in recent years, with potential implications across various domains. However, there is a gap in understanding the prevailing opinions, topics, and concerns of the public and research communities regarding these technologies. This study conducts a semi-automated analysis of over 1,006,000 tweets and 279 scholarly articles to explore perspectives on ChatGPT and its potential misuse for plagiarism, as well as the comparatively lower interest in GPTZero, a technology designed to counter AI-driven plagiarism. Employing advanced natural language processing techniques, such as sentiment analysis and topic modeling, we identify challenges and opportunities related to ChatGPT and GPTZero. Our findings uncover potential areas for improvement and provide guidance for future research and development in the field of conversational AI. Collapse

Topics: Twitter artificial intelligence human computer interaction usability Python

Methods: chatGPT topic model chatbot sentiment analysis natural language processing

Ethical management of human-AI interaction: Theory development review

2023 | Journal of Strategic Information Systems | Citations: 0

Authors: Heyder, Teresa; Passlack, Nina; Posegga, Oliver

Abstract: AI-based technologies have changed the nature of the symbiosis between humans an ... Expand

Abstract: AI-based technologies have changed the nature of the symbiosis between humans and AI, and so strategic management of human-AI interaction in organizations requires deeper ethical consid­ erations. Aligning AI with human values requires a systematic understanding of the ethical management of human-AI interaction. We conduct a theoretical review, from a sociotechnical perspective, and analyze ethical management of human-AI interaction through the lens of soci­ omateriality. Our systematic approach helps explain and clarify the interdependencies between two ethical perspectives – duty and virtue ethics – in sociotechnical systems. We also provide a theoretical framework that leads to seven avenues for future research. Collapse

Topics: human AI collaboration artificial intelligence database system strategic management responsible artificial intelligence

Methods: literature sample theory development literature study synthesis chatGPT

Theories: sociomaterialism theory socio technical theory sociotechnical systems theory

MANAGING FASHIONABLE ORGANIZING VISIONS: EVIDENCE FROM THE EUROPEAN BLOCKCHAIN SERVICES INFRASTRUCTURE

2023 | European Conference On Information Systems | Citations: 0

Authors: Hoess, Alexandra; Rieger, Alexander; Roth, Tamara; Fridgen, Gilbert; Young, Amber

Abstract: Grand visions for organizational transformation increasingly build on fashionab ... Expand

Abstract: Grand visions for organizational transformation increasingly build on fashionable information technologies. Organizational leaders may be tempted to adopt these visions due the high degree of legitimacy and mobilization they afford. However, their fashionable nature makes adoption risky. In this paper, we explore how organizations can manage this risk and successfully navigate the adoption of fashionable organizing visions. Specifically, we track how over the last five years the European Blockchain Partnership adopted a self-sovereign identity organizing vision based on blockchain. We find that successful adoption requires dynamic coupling and decoupling between vision and ITboth on a discursive and the material levels. Moreover, it requires effective management of 'sensegiving' and 'sensebreaking' by the innovation community. Collapse

Topics: blockchain sensemaking generative AI artificial intelligence

Methods: qualitative interview business process modeling qualitative coding single case study case study