TY - GEN
T1 - A Hybrid Intelligent Change Management Approach to Generative AI Adoption
AU - Sherson, Jacob
N1 - Publisher Copyright:
© 2024 The Authors.
PY - 2024/6
Y1 - 2024/6
N2 - The emergence of no-code AI platforms presents a revolutionary opportunity for democratizing AI, making it accessible for non-technical users to engage in AI-driven innovation [1]. This democratization is particularly evident in the realm of Generative AI (GenAI), which holds substantial promise for creative and problem-solving applications [2]. Despite the wealth of frameworks addressing IT development and adoption [3, 4], the integration of generative AI's disruptive capabilities into existing paradigms remains underexplored, often relegated to the insights of private consultancy reports [5].This paper aims to address this gap in academic literature within the interdisciplinary concept of Hybrid Intelligence (HI), [6, 7], synthesizing insights from human-centered AI interface development [8], organizational upskilling [9], and the significance of a psychologically safe environment for collaborative innovation [10,11]. Here, we propose a comprehensive framework for integrating generative AI within organizational change management. This framework, highlighting common challenges and opportunities for innovation in GenAI adoption, is informed by product development workshops and training sessions with hundreds of industry leaders in Northern Europe over the past year.
AB - The emergence of no-code AI platforms presents a revolutionary opportunity for democratizing AI, making it accessible for non-technical users to engage in AI-driven innovation [1]. This democratization is particularly evident in the realm of Generative AI (GenAI), which holds substantial promise for creative and problem-solving applications [2]. Despite the wealth of frameworks addressing IT development and adoption [3, 4], the integration of generative AI's disruptive capabilities into existing paradigms remains underexplored, often relegated to the insights of private consultancy reports [5].This paper aims to address this gap in academic literature within the interdisciplinary concept of Hybrid Intelligence (HI), [6, 7], synthesizing insights from human-centered AI interface development [8], organizational upskilling [9], and the significance of a psychologically safe environment for collaborative innovation [10,11]. Here, we propose a comprehensive framework for integrating generative AI within organizational change management. This framework, highlighting common challenges and opportunities for innovation in GenAI adoption, is informed by product development workshops and training sessions with hundreds of industry leaders in Northern Europe over the past year.
KW - change management
KW - Generative AI
KW - Human-Centered AI
KW - Hybrid Intelligence
KW - organizational learning
UR - http://www.scopus.com/inward/record.url?scp=85198698572&partnerID=8YFLogxK
U2 - 10.3233/FAIA240228
DO - 10.3233/FAIA240228
M3 - Article in proceedings
AN - SCOPUS:85198698572
T3 - Frontiers in Artificial Intelligence and Applications
SP - 472
EP - 474
BT - HHAI 2024
A2 - Lorig, Fabian
A2 - Tucker, Jason
A2 - Lindstrom, Adam Dahlgren
A2 - Dignum, Frank
A2 - Murukannaiah, Pradeep
A2 - Theodorou, Andreas
A2 - Yolum, Pinar
PB - IOS Press BV
T2 - 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024
Y2 - 10 June 2024 through 14 June 2024
ER -