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Form new AI and Data Advisory Bodies

Companies are advised by UN's FWOW division to set up AI and Data Governance Councils. These councils should consist of executives and shop floor workers, aiming to ensure responsible and ethical use of AI and data.

Form Responsibilities for Artificial Intelligence and Data Governance
Form Responsibilities for Artificial Intelligence and Data Governance

Form new AI and Data Advisory Bodies

Establishing AI & Data Governance Councils: A Key Step Towards Responsible AI Deployment

In an era where the ethical use of Artificial Intelligence (AI) and data is increasingly important, many organizations are turning to AI & Data Governance Councils to ensure their AI practices are transparent, ethical, and compliant.

The Role of AI & Data Governance Councils

These councils are mandated to oversee, govern, and check the organization's use of data, algorithms, and semi-automated processes. Their functions may contribute to the organization's ethical, transparent, and responsible use of data and AI.

The establishment of such councils is a response to growing concerns about the ethical use of AI and data in organizations. They are expected to eliminate mistrust within the organization, promote fairness and equity, and foster a mechanism for collective decision-making and accountability in the organization's use of AI and data.

Benefits of AI & Data Governance Councils

Risk mitigation and compliance are key benefits of these councils. They oversee adherence to evolving regulations, proactively managing risks such as bias, security breaches, and data privacy issues through continuous monitoring and governance frameworks.

Improved decision-making and transparency are also significant advantages. Governance ensures transparency of AI processes and data lineage, enabling clear understanding and audit of data sources, algorithms, and AI outcomes. This boosts accountability and trust.

Best Practices for AI & Data Governance Councils

Defining clear roles and responsibilities, adopting a risk-based governance framework, integrating ongoing monitoring and feedback, maintaining documentation and transparency, and leveraging technology for automation are recommended best practices for establishing and operating AI & Data Governance Councils.

Composition of AI & Data Governance Councils

An effective council is typically cross-functional and senior-level, featuring representatives such as senior business leadership, Chief Information Officer (CIO) or IT leadership, legal and compliance officers, data governance experts, risk management professionals, domain/business unit leaders, ethics officers or committees, and management representatives and shop stewards/worker representatives.

Roles and Responsibilities of AI & Data Governance Councils

The roles and responsibilities of these councils include policy development and enforcement, use case evaluation and approval, risk management, oversight and monitoring, training and awareness, audit and reporting, and examining internal complaints and whistleblowing claims.

In sum, AI & Data Governance Councils are essential for trustworthy and responsible AI deployment. Their combination of diverse expertise, risk-focused oversight, policy enforcement, and ongoing monitoring maximizes AI’s benefits while minimizing potential harms in complex operational environments. The FWOW division of UN is urging companies to establish AI & Data Governance Councils to promote a culture of accountability and transparency within organizations.

The AI & Data Governance Councils play a crucial role in overseeing the organization's use of artificial intelligence and data, ensuring their practices are transparent, ethical, and compliant. These councils also contribute to risk mitigation and compliance by adhering to evolving regulations and proactively managing risks associated with AI and data.

Governance frameworks implemented by AI & Data Governance Councils improve decision-making and transparency by ensuring transparency of AI processes and data lineage, promoting accountability and trust within the organization.

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