Purpose Inscrutable machine learning (ML) models are part of increasingly many
information systems. Understanding how these models behave, and what their output is …

Purpose Following the surge of documents laying out organizations' ethical principles for
their use of artificial intelligence (AI), there is a growing demand for translating ethical …

Currently, sustainability is a vital aspect for every nation and organization to accomplish
Sustainable Development Goals (SDGs) by 2030. Environmental, social, and governance …

Governing artificial intelligence (AI) requires cooperation, although the collaboration's form
remains unclear. Technological frames provide a theoretical perspective for understanding …

This systematic literature review synthesizes the conceptualizations of ethical principles in AI
auditing literature and the knowledge contributions to the stakeholders of AI auditing. We …

Innovation in digitalization and low-carbon technologies are leading the way for the
production sector. In the context of the bioeconomy, a path is opening up for the integration …

A number of articles are increasingly raising awareness on the different uses of artificial
intelligence (AI) technologies for customers and businesses. Many authors discuss about …

Artificial intelligence (AI) is a rapidly advancing area of research that encompasses
numerical methods to solve various prediction, optimization, and classification/clustering …

AI and data are key strategic resources and enablers of the digital transition. Artificial
Intelligence (AI) and data are also intimately related to a company's environment, social, and …

Purpose This research aims to determine the influence of environmental, social and
governance (ESG) factors on market performance. The study shows the perspective of ESG …