Responsible AI for Corporate GovernanceArtificial Intelligence (AI)

In any city around the world 00447455203759 Course Code: g

Course Description

Introduction

AI can improve governance work through faster drafting, better reporting, and stronger insights. However, governance teams must ensure AI is used responsibly—with clear accountability, privacy protection, transparency, and strong controls. This practical program equips governance specialists with simple rules and workflows to adopt AI safely in governance activities such as policy work, board support, reporting, and decision documentation.

Course Objectives

By the end of this course, participants will be able to:

·        Understand responsible AI principles for governance work

·        Protect confidential information in governance documents

·        Set clear human oversight and approval checkpoints

·        Manage risks: errors, bias, and misinformation

·        Create simple AI governance rules and templates

Target Audience

This course is designed for:

·        Governance specialists and coordinators

·        Board/committee secretariat support staff

·        Policy and procedure owners

·        Risk, compliance, and internal control teams

·        Teams preparing governance reports and packs

Course Outlines

Day 1: Responsible AI Basics for Governance

·        Where AI is used in governance

·        Benefits vs risks

·        AI limits and common errors

·        Human accountability and oversight

·        Activity: AI use-case checklist

Day 2: Privacy and Confidentiality

·        Sensitive governance information types

·        What not to share with AI

·        Access control and approvals

·        Safe prompting habits

·        Workshop: Confidentiality rules template

Day 3: Quality, Accuracy, and Bias

·        Fact checking AI outputs

·        Avoiding hallucinations

·        Bias and fairness basics

·        Consistent wording for decisions

·        Activity: Review and correct outputs

Day 4: Controls and Governance Workflow

·        Roles and approvals (RACI)

·        Documentation and audit trails

·        Version control and record retention

·        Third-party tool risk basics

·        Case study: AI error in board pack

Day 5: Adoption and Operating Rhythm

·        Prompt libraries and templates

·        Training and change adoption

·        Simple metrics for safe use

·        Continuous improvement loop

·        Final project: Responsible AI governance playbook