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Taming Artificial Intelligence: A Theory of Control-Acountability Alignment among AI Developers and Users
The growing agency of artificial intelligence (AI) systems, more specifically systems based
on machine learning, has raised concerns about the security, safety, and ethical risks of AI …
on machine learning, has raised concerns about the security, safety, and ethical risks of AI …
Human–artificial intelligence collaboration in prediction: A field experiment in the retail industry
This study investigates the role of human intervention in artificial intelligence/machine
learning (AIML)-driven predictions. By doing so, we distinguish between three different types …
learning (AIML)-driven predictions. By doing so, we distinguish between three different types …
Integrating AI in organizations for value creation through Human-AI teaming: A dynamic-capabilities approach
Although the potentialities of artificial intelligence (AI) are motivating its fast integration in
organizations, our knowledge on how to capture organizational value out of these …
organizations, our knowledge on how to capture organizational value out of these …
Interpretable artificial intelligence systems in medical imaging: review and theoretical framework
T ** data science capabilities: an empirical study
N Kazemargi, F Ceci - 2023 - aisel.aisnet.org
Organizations are investing in data science capabilities to gain competitive advantages. Yet
not much is known about how organizational context shapes data science capabilities to …
not much is known about how organizational context shapes data science capabilities to …
Data Science Professionals' Innovation with Big Data Analytics: The Essential Role of Commitment and Organizational Context
M Abouei - 2023 - macsphere.mcmaster.ca
Implementing Big Data Analytics (BDA) has been widely known as a major source of
competitiveness and innovation. While previous research suggests several process models …
competitiveness and innovation. While previous research suggests several process models …