How to explain AI systems to end users: a systematic literature review and research agenda
Purpose Inscrutable machine learning (ML) models are part of increasingly many
information systems. Understanding how these models behave, and what their output is …
information systems. Understanding how these models behave, and what their output is …
[HTML][HTML] A sociotechnical perspective for responsible AI maturity models: Findings from a mixed-method literature review
P Akbarighatar, I Pappas, P Vassilakopoulou - International Journal of …, 2023 - Elsevier
As artificial intelligence (AI) is increasingly used in various industries, it becomes crucial for
organizations to enhance their capabilities and maturity in adopting AI responsibly. This …
organizations to enhance their capabilities and maturity in adopting AI responsibly. This …
Generative ai
Tom Freston is credited with saying ''Innovation is taking two things that exist and putting
them together in a new way''. For a long time in history, it has been the prevailing …
them together in a new way''. For a long time in history, it has been the prevailing …
Artificial intelligence (AI) student assistants in the classroom: Designing chatbots to support student success
Y Chen, S Jensen, LJ Albert, S Gupta, T Lee - Information Systems …, 2023 - Springer
In higher education, low teacher-student ratios can make it difficult for students to receive
immediate and interactive help. Chatbots, increasingly used in various scenarios such as …
immediate and interactive help. Chatbots, increasingly used in various scenarios such as …
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
Abstract Machine learning algorithms enable advanced decision making in contemporary
intelligent systems. Research indicates that there is a tradeoff between their model …
intelligent systems. Research indicates that there is a tradeoff between their model …
[PDF][PDF] Managing artificial intelligence.
Managing artificial intelligence (AI) marks the dawn of a new age of information technology
management. Managing AI involves communicating, leading, coordinating, and controlling …
management. Managing AI involves communicating, leading, coordinating, and controlling …
[HTML][HTML] International Business, digital technologies and sustainable development: Connecting the dots
Building on emerging debates on the 'dark'and 'bright'side of digital globalization, and calls
for considering its environmental and social implications in more detail, this perspective …
for considering its environmental and social implications in more detail, this perspective …
Designing a feature selection method based on explainable artificial intelligence
Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …
Organizational capabilities for ai implementation—co** with inscrutability and data dependency in ai
Artificial Intelligence (AI) implementation incorporates challenges that are unique to the
context of AI, such as dealing with probabilistic outputs. To address these challenges, recent …
context of AI, such as dealing with probabilistic outputs. To address these challenges, recent …
Explainable artificial intelligence in information systems: A review of the status quo and future research directions
The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …
phenomenon of global interest for academia, business, and society and brought about the …