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Establishment of Data & AI Governance Structure

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  • Establishment of Data & AI Governance Structure

We have newly established the Subcommittee on Data & AI Governance under the Risk Management Committee as our governance structure to ensure the safe, secure, and responsible use of data and AI while fulfilling our social responsibilities.

Background and Objectives

With the recent rapid innovation in AI technology and its growing adoption in business activities, the importance of data, which determines the value of AI, has become higher than ever. Conversely, appropriate risk management, including security and privacy considerations, is indispensable when utilizing data and AI. To build authentic, substantive data and AI governance that earns the trust of all stakeholders, we have established this subcommittee under the Risk Management Committee.

Overview of the Governance Structure

This subcommittee is composed of division heads and/or executive officers from Risk Management, Corporate Planning, Business Planning Promotion, and Legal, deliberating on policies and supervising data and AI utilization. The secretariat is jointly operated by three departments: Data AI Lab, the Risk Management Department, and the Corporate Planning Department.

MemberRoleMeeting FrequencyReporting To
Executive Officers and Department Heads: Risk, Security, Legal, AI & DataDeliberation and Supervision for Data and AI UtilizationQuarterly
* ad hoc as needed
President and CEO,
Board of Directors

Review and Reporting Process

To ensure robust governance, we have established the following review process.

Review and Reporting Process of the Data and AI Governance Subcommittee
  • Reviewing departments refer or report key issues regarding data and AI utilization to the Subcommittee on Data & AI Governance.
  • The Subcommittee on Data & AI Governance is obligated to submit or report these initiatives to the President and CEO and the Board of Directors, ensuring appropriate oversight that encompasses executive management.

Key Issues Addressed by the Subcommittee:

  1. 1.

    Maintaining data quality to consistently deliver highly reliable services

  2. 2.

    Developing internal regulations and audit frameworks to securely protect user personal information in AI and data utilization

  3. 3.

    Promptly adapting to the latest laws, regulations, and industry standards regarding data and AI to reliably safeguard user rights

  4. 4.

    Ensuring transparent information disclosure and effective communication with users

  5. 5.

    Promoting ethical data utilization aligned with societal expectations to maintain trust

  6. 6.

    Formulating risk assessment processes for the development and evaluation of safe, value-driven data products

Our Data Utilization and Future Outlook

As we actively pursue future data and AI utilization, we will progressively deliberate and discuss the following rule formulation and infrastructure developments through this subcommittee:

  • Formulating internal education and training programs
  • Exploring permanent organizational structures dedicated to overseeing data and AI

In accordance with market environments and progress, decided matters will be sequentially disclosed and updated on this corporate page.