Ganesh Sankaran

Nov 18, 2024 | mdpi.com | Ganesh Sankaran |Marco Palomino |Martin Knahl |Guido Siestrup

1. IntroductionDespite the rapid advancement of Artificial Intelligence (AI), particularly with generative AI [1], human judgment remains critical in decision-making [2,3,4,5]. From a macroeconomic perspective, AI, as a General-Purpose Technology (GPT), requires complementary structures, processes and systems to maximise its value [6,7]. This transition is gradual, particularly for organisations not born digital, which will blend old and new processes for some time [8].

Oct 24, 2024 | preprints.org | Ganesh Sankaran |Marco Palomino |Martin Knahl |Guido Siestrup

Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 22 October 2024 / Approved: 24 October 2024 / Online: 24 October 2024 (11:48:45 CEST) Sankaran, G.; Palomino, M. A.; Knahl, M.; Siestrup, G. Towards a System Dynamics Framework for Human-ML Decisions: A Case Study on New York Citi Bike. Preprints 2024, 2024101907. https://doi.org/10.20944/preprints202410.1907.v1 Sankaran, G.; Palomino, M. A.; Knahl, M.; Siestrup, G.