Bridging the AI | Data Governance Gap

  • P Schoeman

Student thesis: Master's Thesis

Abstract

This research paper focuses on the bridge between Data and AI Governance. As AI Governance becomes more and more important, this research aims to map to what extent AI Governance can be integrated into Data Governance. This research is done by using the design science method. First, a literature review has been done on Data and AI Governance. Based on the literature review a model is proposed. This model has been validated by doing interviews with different functions in an organization. Based on the interviews a new model is proposed wherein overlap between AI and data governance is being made visible.
Date of Award17 Feb 2023
Original languageEnglish
SupervisorLaury Bollen (Supervisor) & Tim Huygh (Co-assessor)

Keywords

  • AI Governance Framework
  • design science
  • Governance
  • Data Governance
  • Data Governance framework
  • AI Governance

Master's Degree

  • Master Business Process management & IT (BPMIT)

Cite this

Documents

'