Towards explainable AI (xAI): Determining the factors for firms' adoption and use of xAI in Sub-Saharan Africa

OKA Penu, R Boateng, A Owusu - 2021 - aisel.aisnet.org
AI has been described as a 'black box', suggesting that the internal algorithmic computations
for arriving at the results they provide are very opaque (Rai, 2020). A multifaceted definition …

Exploring the social and technical factors in organisational AI adoption: a systematic literature review

D Smit, S Eybers, A Van der Merwe - 2023 - repository.up.ac.za
Embedding artificial intelligence as part of an organisation's analytics portfolio can lead to
better data-driven business insight, optimised IT systems for greater reliability, and new AI …

Designing a Technical Framework for Enabling Enterprise AI Adoption

D Smit, S Eybers, A van der Merwe… - Science and Information …, 2024 - Springer
Despite the obvious benefits of AI adoption, organisations are often hesitant to pursue these
technologies. Although this hesitation can be attributed to many factors, one of the most …

Do We Need Explainable AI in Companies? Investigation of Challenges, Expectations, and Chances from Employees' Perspective

K Weitz, CT Dang, E André - arXiv preprint arXiv:2210.03527, 2022 - arxiv.org
Companies' adoption of artificial intelligence (AI) is increasingly becoming an essential
element of business success. However, using AI poses new requirements for companies …

Guest editorial for special issue–AI facets and industrial applications (Part 2)

S Walia, P Kautish - foresight, 2023 - emerald.com
Artificial intelligence (AI) is reshaping businesses, economic activities and society as a
whole in the context of the current state of affairs by transforming human interactions with …

The adoption of artificial intelligence by South African banking firms: a Technology, Organisation and Environment (TOE) framework

C Mariemuthu - 2019 - wiredspace.wits.ac.za
Artificial intelligence (AI) is the creation of intelligent machines that have the ability to work
and act like humans and comprises various technologies. AI-powered technology is having …

A conceptual model for implementing explainable ai by design: Results of an empirical study

M Van Den Berg, O Kuiper… - HHAI 2023 …, 2023 - ebooks.iospress.nl
Artificial Intelligence (AI) offers organizations unprecedented opportunities. However, one of
the risks of using AI is that its outcomes and inner workings are not intelligible. In industries …

EXPLAINABLE AI (XAI) AND BUSINESS VALUE–AN ORGANIZATIONAL PERSPECTIVE

DMK Vatn, P Mikalef - 2024 - aisel.aisnet.org
Explainable AI (XAI) has received increased interest in research and practice, driven by
social, ethical and legal pressure for AI techniques that are capable of making decisions …

[PDF][PDF] What to explain when explaining is difficult? An interdisciplinary primer on XAI and meaningful information in automated decision-making

H Asghari, N Birner, A Burchardt, D Dicks, J Faßbender… - 2021 - graphite.page
Automated decision making (ADM) systems have become ubiquitous in our everyday lives,
enabling new business models and intensifying the datafication of our economies. Yet, the …

AI and Security, from an information security and risk manager standpoint

P Shetty - IEEE Access, 2024 - ieeexplore.ieee.org
Fields such as machine learning and artificial intelligence are proven business enablers, we
have several use cases in the field of technology from basic implementations such as …