Building Trust with AI Governance and Responsible AI

Why Choose Garranto Academy for Building Trust with AI?

Garranto Academy provides executive-focused, practical AI governance training that helps leaders make responsible AI decisions, manage risks, strengthen accountability, and build organizational trust through realistic scenarios and hands-on activities.

Course Overview:

This one-day executive workshop helps senior leaders build confidence in governing artificial intelligence responsibly. Rather than focusing on technical implementation, it addresses leadership decisions about approving AI use cases, accepting risk, assigning accountability, and communicating with boards, regulators, and customers. Participants explore responsible AI principles and relevant Malaysian and global frameworks, including NGAIGE, PDPA, the EU AI Act, ISO/IEC 42001, and the NIST AI Risk Management Framework. Through realistic scenarios, interactive discussions, and three hands-on labs, learners classify AI risks, design governance structures, practise incident response, and define reporting measures. The workshop concludes with a board-level AI dashboard and a prioritized 90-day roadmap, supported by practical templates participants can adapt to their organizations. No technical or coding background is required.

What You'll Learn in Our Building Trust with AI Governance and Responsible AI Course?

Course Objectives:

Upon successful completion of this course, learners will be able to:

• ✓Explain AI governance as leadership responsibility.

• ✓Apply responsible AI principles in decisions.

• ✓Classify AI use cases by risk.

• ✓Design governance roles policies and escalation.

• ✓Practise effective response to AI incidents.

• ✓Define board reporting metrics and accountability.

• ✓Develop prioritized organizational AI action plans.

Prerequisites

• ✓Senior management role experience

• ✓Business decision-making role experience

• ✓No coding background needed

Course Outlines:

Session 1: AI Governance for Leaders

• ✓Topics: AI governance as a strategic and business-continuity issue; Malaysian and global governance landscape; NGAIGE, PDPA amendments, EU AI Act, ISO/IEC 42001 and NIST AI Risk Management Framework; regulator and customer expectations.

• ✓Activity: Discuss leadership responsibilities and complete an AI maturity baseline poll.

Session 2: Principles of Responsible AI in Practice

• ✓Topics: Fairness, reliability and safety, privacy and security, inclusiveness, transparency, accountability and human benefit.

• ✓Activity: Use Case Gallery Walk to identify key principles, risks, benefits and affected stakeholders across realistic AI scenarios.

Session 3: Risk Classification and Impact Assessment

• ✓Topics: AI risk tiers, red lines, impact assessment fundamentals, risk scoring based on impact, data sensitivity, autonomy, scale and reversibility.

• ✓Activity: Conduct AI Use Case Risk Triage, classify use cases as prohibited, high, limited or low risk, and identify controls and approvers.

Session 4: Governance Operating Model

• ✓Topics: Board and committee responsibilities, three lines of defence, AI governance committee, decision rights, RACI, policy stack, vendor and third-party AI, shadow AI, intake-to-approval workflow.

• ✓Activity: Design an AI governance model and create a one-page governance blueprint with a RACI chart.

Session 5: Lessons from Failure and AI Incident Tabletop

• ✓Topics: AI failure case studies, incident containment, notification, communication, remediation, human oversight and regulatory duties.

• ✓Activity: Participate in an executive crisis simulation and develop a first-draft AI incident response checklist.

Session 6: Responsible AI Reporting and Accountability

• ✓Topics: Board-level AI reporting, governance metrics, disclosure, risk-tier visibility, incidents, bias and performance testing, third-party AI exposure, training coverage and audit findings.

• ✓Activity: Build a Board AI Dashboard and prioritized 90-Day Roadmap with assigned owners.

Wrap-up: Team Presentations and Commitments

• ✓Topics: Review of workshop outputs, knowledge check, commitments, questions and feedback.

• ✓Activity: Present team recommendations and confirm organizational next steps.

Course Outcomes:

Upon completing the Building Trust with AI Governance and Responsible AI course, participants will:

• ✓Explain why AI governance matters for business continuity.

• ✓Navigate Malaysian and global AI governance frameworks confidently.

• ✓Classify AI use cases by risk and controls.

• ✓Define governance roles decision rights and escalation paths.

• ✓Respond to AI incidents using tested playbooks effectively.

• ✓Specify responsible AI reporting for boards and regulators.

• ✓Build board AI dashboards with meaningful governance indicators.

• ✓Commit to a prioritized organizational 90-day action plan.

Key Benefits of Building Trust with AI Governance and Responsible AI:

Strengthen executive oversight by establishing risk-based AI decisions, clear accountability, responsible practices, incident readiness, and transparent reporting that supports organizational trust.

How Responsible AI Governance Supports Organizations?

Responsible AI governance helps organizations evaluate AI use cases, establish proportionate controls, clarify decision rights, respond to incidents, and communicate risks and performance to boards, regulators, customers, and other stakeholders.