It Governance Presentation Outline

Here’s a draft of a 10-slide deck based on the essay topics you provided, summarizing the key points from the essay:

IT Governance: Managing Emerging Risks with Generative AI (GenAI)

Set of rules, practices, and processes for directing and controlling an organization
Ensures alignment of business strategy with stakeholder interests
Core principles: Transparency, accountability, fairness, responsibility
Involves oversight of management, financial performance, risk management, and compliance

IT governance ensures that IT initiatives support broader business objectives
Manages risks that arise from the use of technology in the organization
IT governance enables strategic use of technology to enhance business performance
Supports corporate governance principles like accountability, compliance, and risk management

IT Risk Governance: Identifies and mitigates IT-related risks (cybersecurity, system failures)
Data Governance: Ensures data security, privacy, and compliance with regulations
Information Security Governance: Protects the confidentiality, integrity, and availability of information
IT Resource Governance: Optimizes management of IT assets and personnel
Compliance Governance: Ensures compliance with laws (e.g., GDPR, HIPAA) in IT operations

COBIT: Comprehensive framework for aligning IT with business goals and managing IT risks
Focuses on strategic alignment, risk management, performance measurement
ITIL: Framework for IT Service Management (ITSM)
Ensures efficient, reliable IT service delivery
Focuses on processes like incident management, change management, and service-level agreements (SLAs)

Online Models:
Risks of data privacy, security breaches, and compliance violations
Dependency on third-party vendors
Limited control over model behavior and updates
Local Models:
Vulnerabilities include model exploitation, bias in outputs, and resource strains
Risks of data poisoning, model theft, or misuse by authorized personnel

Data Governance: Enforce data anonymization and privacy policies
Access Controls: Limit access to GenAI tools and models to authorized personnel
Model Monitoring: Continuously monitor GenAI performance and bias
Compliance Checks: Ensure AI usage complies with data privacy laws and regulations
Employee Training: Train staff on responsible AI use and risk awareness

Risk Identification and Assessment:
COBIT guides the identification of risks like data breaches and model bias
Risk prioritization based on severity and business impact
Risk Mitigation:
COBIT recommends implementing controls such as encryption, access management, and monitoring tools
Performance Monitoring with KPIs:
Key metrics: Data breach incidents, model bias detection rates, compliance audit success rates
Regular audits and continuous improvement cycles

IT governance is essential for aligning IT initiatives with corporate governance goals
GenAI introduces specific risks that require careful management
Frameworks like COBIT provide structure for monitoring, assessing, and mitigating IT risks
Operational measures like data governance, access control, and compliance monitoring are key to managing GenAI risks