How to explain AI systems to end users: a systematic literature review and research agenda

S Laato, M Tiainen, AKM Najmul Islam… - Internet …, 2022 - emerald.com
Purpose Inscrutable machine learning (ML) models are part of increasingly many
information systems. Understanding how these models behave, and what their output is …

Artificial intelligence (AI) for user experience (UX) design: a systematic literature review and future research agenda

Å Stige, ED Zamani, P Mikalef, Y Zhu - Information Technology & …, 2023 - emerald.com
Purpose The aim of this article is to map the use of AI in the user experience (UX) design
process. Disrupting the UX process by introducing novel digital tools such as artificial …

Understanding the user satisfaction and loyalty of customer service chatbots

CL Hsu, JCC Lin - Journal of Retailing and Consumer Services, 2023 - Elsevier
The artificial intelligence (AI) chatbot is emerging as a significant corporate customer-facing
application, potentially increasin customer service efficiency while reducing costs. However …

Sociotechnical envelopment of artificial intelligence: An approach to organizational deployment of inscrutable artificial intelligence systems

A Asatiani, P Malo, PR Nagbøl, E Penttinen… - Journal of the …, 2021 - research.aalto.fi
The paper presents an approach for implementing inscrutable (ie, nonexplainable) artificial
intelligence (AI) such as neural networks in an accountable and safe manner in …

[HTML][HTML] Ethical management of human-AI interaction: Theory development review

T Heyder, N Passlack, O Posegga - The Journal of Strategic Information …, 2023 - Elsevier
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 …

The lifecycle of algorithmic decision-making systems: Organizational choices and ethical challenges

M Marabelli, S Newell, V Handunge - The Journal of Strategic Information …, 2021 - Elsevier
In this viewpoint article we discuss algorithmic decision-making systems (ADMS), which we
view as organizational sociotechnical systems with their use in practice having …

Artificial intelligence and adaptive response to market changes: A strategy to enhance firm performance and innovation

Y Sullivan, SF Wamba - Journal of Business Research, 2024 - Elsevier
This research examines how AI-powered capabilities can bring value to organizations by
enhancing their Adaptive Response to Market Changes (ARMC). Utilizing insights from …

Algorithmic decision-making and system destructiveness: A case of automatic debt recovery

T Rinta-Kahila, I Someh, N Gillespie… - European Journal of …, 2022 - Taylor & Francis
Governments are increasingly relying on algorithmic decision-making (ADM) to deliver
public services. Recent information systems literature has raised concerns regarding ADM's …

How should the results of artificial intelligence be explained to users?-Research on consumer preferences in user-centered explainable artificial intelligence

D Kim, Y Song, S Kim, S Lee, Y Wu, J Shin… - … Forecasting and Social …, 2023 - Elsevier
Artificial intelligence (AI) has become part of our everyday lives, and its presence and
influence are expected to grow exponentially. Regardless of its expanding impact, the …

[HTML][HTML] Explainable digital forensics AI: Towards mitigating distrust in AI-based digital forensics analysis using interpretable models

AA Solanke - Forensic science international: digital investigation, 2022 - Elsevier
The present level of skepticism expressed by courts, legal practitioners, and the general
public over Artificial Intelligence (AI) based digital evidence extraction techniques has been …