AIS Electronic Library (AISeL)
Not a member yet
72426 research outputs found
Sort by
Make Some Noise for Ground Truthing! Frictional design against epistemic sclerosis in Decision Support Systems
Get PDFThis speculative position paper critically examines ground truthing in medical AI and challenges the dominant assumption in machine learning (ML) that ground truth is singular and objective. By treating disagreement as “noise” instead of an epistemic signal, current ML pipelines obscure the interpretative complexity of medical expertise, reinforcing epistemic sclerosis – a phenomenon where AI systems calcify classification schema and discourage professional scrutiny. In response, we introduce frictional design to ground truthing as a conceptual framework that enables a deliberative, iterative, and multi-perspective process to the ground truthing workflow and use of AI systems. We first examine the literature on design interventions in ground truthing practices that attempt to leverage expert disagreement and uncertainty, before gathering and extending these interventions within a frictional design framework. We propose a structured set of design interventions, including multi-labelling, deliberative annotation workflows, reflexive documentation, and uncertainty-aware AI decision-support systems, to support more adaptive, accountable, and epistemically robust ML pipelines. As a design paradigm, frictional ground truthing can collect and inspire designs that preserve interpretative plurality, resist epistemic sclerosis, and foster more responsible AI decision-making
Identity Categories As Boundary Objects: Conflict And Resistance In Collaboration
Get PDFThe integration of changes into a government information infrastructure involves collaboration between stakeholders with diverse, sometimes competing, interests. Boundary objects can facilitate this by serving as shared, loosely defined tools for collaboration. Little is known, however, about cases where the interpretation of these boundary objects has consequences for wellbeing, as is the case with identity categories that shape rights and recognition. Without systematic knowledge, the use of these categories as boundary objects can adversely shape crucial cross-disciplinary collaboration, risking a breakdown in communication. To address this knowledge gap, this study draws on data from an ethnographic study of India’s transgender category during the introduction of the category into government information infrastructure. It finds a partial breakdown in communication, exhibited as conflict during boundary encounters, and a resistance to the loose definition of the boundary object. The study concludes that identity categories, in their ability to include and exclude people, must be handled and managed carefully if they are to function effectively as boundary objects. The study contributes to boundary object theory by exploring conflict and resistance in the interpretive flexibility and makes recommendations to policy makers and IS practitioners
Enterprise Architecture and Data Management for Digital Transformation - A Higher Education Institute (HEI) Case
Get PDFVidya Vinay Institute (VVI) is a top-ranking management school in India. VVI has well-established processes for the entire student journey and has been a pioneer in efficiently adopting technology to support these processes since 2003. However, there are disparate data sources and a lack of a single data repository, where every department can access student data per their respective needs. While there is an ERP in place, there are also multiple applications in different departments that are not integrated with the ERP. Beginning in 2025, the vision is to scale up and introduce innovative programs to reach underserved market segments. Ganesh, the new IT Head, certified in Enterprise Architecture (EA), has been appointed to strengthen VVI’s information technology function to enable VVI’s vision and fulfillment of the future strategy. He identifies the need to look at VVI as an enterprise and create a blueprint of VVI’s strategy, business, and technology, depicting the current state, the future, and the gaps. He also realizes that he needs to create a robust data management and governance program to ensure a seamless data flow at the Institute. Ganesh believes that this transformation should be viewed through an enterprise-wide architecture lens. Where can he start
A Triadic Collaborative Relationship Perspective on Shared Digital Health Technology Use: Unpacking the Role of Information Systems in Chronic Disease Management by Patients and Providers
Get PDFCollaborative relationships underpin effective chronic disease management (CDM), with patients as change seekers, providers as change agents, and Digital Health Technologies (DHTs) as change mediators. In CDM, patients and providers may engage collaboratively with DHTs, resulting in the patient–provider–DHT triadic collaborative relationship. Although the majority of DHTs for CDM are designed for shared use, defined as both patients and providers independently and concurrently engaging with the same system or platform, the current understanding of the interactions between these three parties is fragmented, often adopting a dyadic lens, limiting a holistic understanding. In this systematic review, we examine the current Information Systems (IS) and Health Informatics (HI) discourse in this area, applying a novel triadic collaborative relationship framework, grounded in the Working Alliance Model (WAM) from psychology and the Persuasive Systems Design (PSD) model from IS. Using evidence synthesised from reviewed studies, we refine the framework to illustrate how PSD principles enable both task-oriented and socio-emotional dimensions within the triad. The refined model further differentiates between agentic and non-agentic DHTs, showing how their functional typologies shape collaborative dynamics. Finally, we identify existing research gaps and propose directions for future inquiry to advance a more holistic understanding of triadic collaborative relationships in CDM
Teaching Information Overload: Learnings from a Student-led Perspective
Get PDFInformation overload is a common phenomenon experienced by IS professionals. An important and complex challenge for educators is building graduate capacity for dealing with information overload. This paper presents a five-week teaching program that tailors content and assessments for students to experience information overload and reflect on their coping strategies. Insights from an analysis of 109 student reflections confirmed this teaching program helps students develop and improve their information overload management skills. The paper concludes with a teaching and assessment guide for creating a similar teaching program that uniquely integrates the explicit instruction of stress-coping strategies
Students’ Perceptions of Educational Tool Use in a Blended Learning Environment: An Activity Theory Perspective
Get PDFThis exploration of students’ perceptions of educational tools within blended learning environments is framed by the third generation of Activity Theory (AT), which highlights systemic contradictions. This study explores the manifestation of these contradictions in the effectiveness and integration of educational tools. Drawing on qualitative data from interviews and observations in a tertiary education setting, the analysis identifies fundamental contradictions between student engagement and tool use, the alignment of educational tools with student needs, and the congruence between lecturer expectations and student performance. Findings underscore the necessity for adaptable educational tools that can meet diverse student needs, as well as the critical role of lecturer engagement on digital platforms to enhance student interaction. This research enriches the theoretical application of AT in educational settings and provides practical insights for enhancing blended learning environments
Understanding the Ethics of Generative AI: Established and New Ethical Principles
Get PDFThis scoping review develops a conceptual synthesis of the ethics principles of generative artificial intelligence (GenAI) and large language models (LLMs). In regard to the emerging literature on GenAI, we explore 1) how established AI ethics principles are presented and 2) what new ethical principles have surfaced. The results indicate that established ethical principles continue to be relevant for GenAI systems but their salience and interpretation may shift, and that there is a need to recognize new principles in these systems. We identify six GenAI ethics principles: 1) respect for intellectual property, 2) truthfulness, 3) robustness, 4) recognition of malicious uses, 5) sociocultural responsibility, and 6) human-centric design. Addressing the challenge of satisfying multiple principles simultaneously, we suggest three meta-principles: categorizing and ranking principles to distinguish fundamental from supporting ones, mapping contradictions between principle pairs to understand their nature, and implementing continuous monitoring of fundamental principles due to the evolving nature of GenAI systems and their applications. To conclude, we suggest increased research emphasis on complementary ethics approaches to principlism, ethical tensions between different ethical viewpoints, end-user perspectives on the explainability and understanding of GenAI, and the salience of ethics principles to various GenAI stakeholders
Experience Curves in Reward-Based Crowdfunding: An Empirical Study of Serial Creators
Get PDFPrevious studies have reported a linear relationship between creator experience and crowdfunding success. However, creator experience does not guarantee a high likelihood of crowdfunding success. Drawing from experience curve theory and entrepreneurial learning research, this study investigates experience curves in reward-based crowdfunding by focusing on the characteristics of creators’ prior campaign experience. We argue that the positive experience-performance relationship applies only to veteran serial creators, while novice serial creators cannot effectively apply their experiential knowledge to new projects. We further posit that two cross-project characteristics (interproject diversity and interproject interval) moderate the shape of the experience curve. Using a dataset of 6,469 projects initiated by 2,452 serial creators from Indiegogo, we found that creator experience has a U-shaped relationship with crowdfunding success and that this curve is flattened by interproject diversity and interproject interval. Our work provides both theoretical and practical implications for crowdfunding
FashionTech: How AI Addresses “Bracketing” Purchase Behaviour
Get PDFThe fashion industry is characterised by rapidly evolving consumer preferences and complex practices. One of the most pressing challenges in this sector is managing product returns, in particular due to consumers\u27 bracketing behaviour, with nearly one-third of all clothing purchases being sent back—often leading to waste rather than resale. This teaching case explores how artificial intelligence (AI) is being leveraged to address this issue, drawing on real-world examples from both fashion technology providers and brand suppliers. By examining AI-driven solutions in fashion retail, students will gain insights into industry practices and develop business analytical skills to assess the impact of AI on operational efficiency, sustainability, and consumer experience
When AI Praises a Product: The Effects of AI Anthropomorphism on Risk Perception
No full textCompanies increasingly use anthropomorphic AI, such as digital humans, primarily to deliver product information and enhance customer service experiences. Despite their growing prevalence, a significant gap exists in understanding how these AI agents, which function as marketing agents, influence consumer risk perceptions. This study aims to bridge this gap by employing social presence theory and mind perception theory to investigate consumer risk perception of anthropomorphic AI agents that deliver product information of varying valences. The research findings will offer practical guidance for companies on optimizing the deployment of AI agents. Furthermore, the study will enhance our understanding of AI anthropomorphism by detailing how consumers attribute intentions to AI, which can inform future AI design and ethical guidelines