DEVELOPMENT OF AI GOVERNANCE MODEL IN ENTERPRISES BASED ON CMMI MODEL STRUCTURE (STUDY CASE: HEALTHCARE DOMAIN)
The adoption of Artificial Intelligence (AI) in enterprises often poses new challenges in the enterprise and society. To deal with these challenges, we need an AI governance that can control and direct AI in the enterprise well. However, there is no existing AI governance model that has a number...
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| Format: | Theses |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/79483 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The adoption of Artificial Intelligence (AI) in enterprises often poses new
challenges in the enterprise and society. To deal with these challenges, we need an
AI governance that can control and direct AI in the enterprise well. However, there
is no existing AI governance model that has a number of measurable practices to
properly control and direct AI in enterprises.
Capability Maturity Model Integration (CMMI) can be used as a reference to
develop an AI governance model with a structure that has a number of measurable
practices. As for the content of this AI governance model, a number of examples of
AI governance practices in the healthcare domain will be identified. Thus, this study
will discuss the development of AI governance model in enterprises based on the
CMMI model structure, with a focus on model content in the healthcare domain.
This AI governance model from now on will be called Model Tata Kelola AI
Terukur (MTAIT). The MTAIT model design phase produces a model structure
consisting of layer, capability area, practice area, practice level, and practice, and
produces the basic content of the model consisting of data layer, technology layer,
ethics & social layer, and legal layer. The MTAIT model development phase
produces model content that is fully broken down from the layer level down to the
practice level, as well as a way of measuring the practices by determining the
capability level at the practice area level and maturity level at the capability area,
layer, and up to the enterprise level. Based on the evaluation results on the MTAIT
model, it can be concluded that the MTAIT model is in accordance with the
specified AI governance model specifications, can be used to a practical level and
be measured, and can help to control and direct AI in the enterprise, but not yet
fully in accordance with the needs of AI governance practices in healthcare. |
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