A sociotechnical view of algorithmic fairness
M Dolata, S Feuerriegel… - Information Systems …, 2022 - Wiley Online Library
Algorithmic fairness (AF) has been framed as a newly emerging technology that mitigates
systemic discrimination in automated decision‐making, providing opportunities to improve …
systemic discrimination in automated decision‐making, providing opportunities to improve …
Explainable AI for operational research: A defining framework, methods, applications, and a research agenda
The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …
aiding decision-making, has become a critical requirement for many applications. For …
From artificial intelligence to explainable artificial intelligence in industry 4.0: a survey on what, how, and where
Nowadays, Industry 4.0 can be considered a reality, a paradigm integrating modern
technologies and innovations. Artificial intelligence (AI) can be considered the leading …
technologies and innovations. Artificial intelligence (AI) can be considered the leading …
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 …
Recognizing and utilizing novel research opportunities with artificial intelligence
G von Krogh, Q Roberson, M Gruber - Academy of Management …, 2023 - journals.aom.org
As we are witnessing a fundamental transformation of organizations, societies, and
economies through the rapid growth of data and development of digital technology (George …
economies through the rapid growth of data and development of digital technology (George …
Human-centric artificial intelligence architecture for industry 5.0 applications
JM Rožanec, I Novalija, P Zajec, K Kenda… - … journal of production …, 2023 - Taylor & Francis
Human-centricity is the core value behind the evolution of manufacturing towards Industry
5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and …
5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and …
Bringing artificial intelligence to business management
Artificial intelligence (AI) can support managers by effectively delegating management
decisions to AI. There are, however, many organizational and technical hurdles that need to …
decisions to AI. There are, however, many organizational and technical hurdles that need to …
Designing a feature selection method based on explainable artificial intelligence
J Zacharias, M von Zahn, J Chen, O Hinz - Electronic Markets, 2022 - Springer
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 …
Antecedent configurations toward supply chain resilience: The joint impact of supply chain integration and big data analytics capability
Many antecedents identified as essential to supply chain resilience (SCR) are often studied
independently, without considering their synergistic effects. Based on a case study and …
independently, without considering their synergistic effects. Based on a case study and …
Combining human and artificial intelligence: Hybrid problem-solving in organizations
S Raisch, K Fomina - Academy of Management Review, 2023 - journals.aom.org
Organizations increasingly use artificial intelligence (AI) to solve previously unexplored
problems. While routine tasks can be automated, the intricate nature of exploratory tasks …
problems. While routine tasks can be automated, the intricate nature of exploratory tasks …