AI in Business and Society

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Paper Number

1778

Paper Type

short

Description

Artificial intelligence (AI) has an impact on business and society at large while posing challenges and risks. For AI adoption, trustworthiness is paramount, yet there appears to be a gap between theory and practice. Organizations need guidance in quantitatively assessing and improving the trustworthiness of AI systems. To address such challenges, maturity models have shown to be a valuable instrument. However, recent AI maturity models address trustworthiness only at the maturest level. As a response, we propose a model to integrate the concept of trustworthiness across the AI lifecycle management. In doing so, we follow Design Science Research to develop a holistic model highlighting the importance of trustworthiness throughout the AI adoption journey to realize the real value potential. This research-in-progress contributes to the emerging research on human-AI systems and managing AI. Our objective is to use the model for assessing, evaluating, and improving trustworthy AI on an organizational level.

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Dec 11th, 12:00 AM

Measuring Trustworthiness of AI Systems: A Holistic Maturity Model

Artificial intelligence (AI) has an impact on business and society at large while posing challenges and risks. For AI adoption, trustworthiness is paramount, yet there appears to be a gap between theory and practice. Organizations need guidance in quantitatively assessing and improving the trustworthiness of AI systems. To address such challenges, maturity models have shown to be a valuable instrument. However, recent AI maturity models address trustworthiness only at the maturest level. As a response, we propose a model to integrate the concept of trustworthiness across the AI lifecycle management. In doing so, we follow Design Science Research to develop a holistic model highlighting the importance of trustworthiness throughout the AI adoption journey to realize the real value potential. This research-in-progress contributes to the emerging research on human-AI systems and managing AI. Our objective is to use the model for assessing, evaluating, and improving trustworthy AI on an organizational level.

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