Transparent Digital Governance

The Transparent Digital Governance strand takes an enterprise and societal perspective to focus on the lack of multi-stakeholder practice for data governance that can balance the needs of individuals, organisations and societies involved in AI-driven digital engagement. Data governance is a multidisciplinary problem that requires the integration of models spanning data management, information systems, business studies, social science, law, privacy, and ethics concerns.

The overall objective of this Strand is to bring forward data governance models and multi-stakeholder governance practices that reveal and manage the value that organisations seek and the value that societies expect from AI-driven digital engagement. The Strand objective will be achieved by addressing three connected challenges:

  • Value & Risk: The objective of this challenge is to develop practices and contribute to a governance framework to reduce the risk of bias, discrimination, and inadvertent misuse of data by AI while extracting value through predictive behavioural and risk analysis
  • Autonomy & Responsibility: The objective of this challenge is to design new multi-stakeholder governance practices to balance responsibility with stakeholder autonomy of AI-driven Digital Content Technology from the conceptual design stage onwards.
  • Heterogeneity & Interoperability: The objective of this challenge is to develop methods and standards to support transparent, context-aware, quality-controlled, and policy-compliant data integration.