An Intensive 5-day Training Course
Data Governance and Privacy in AI Systems
AI x Governance
Course Introduction
The Data Governance and Privacy in AI Systems training course is designed to enhance participants' understanding of AI and its role in today's data-centric world. With the growing integration of AI technologies, businesses face both challenges and opportunities when balancing innovation with privacy protection. This five-day, intensive training course equips senior leaders with the knowledge and tools to navigate the complexities of AI data governance and privacy compliance.
Participants will gain insights into striking the right balance between technological advancements and privacy safeguards, drawing on real-world examples. The training course covers key privacy regulations, including Saudi Arabia's PDPL and other international frameworks, offering a complete view of both global and regional privacy requirements.
Key features of the Data Governance and Privacy in AI Systems training course:
- In-depth understanding of AI privacy regulations and frameworks
- Practical tools for creating privacy-compliant AI systems
- Case studies from leading organizations
- Hands-on experience in privacy impact assessments
- Strategic methods for establishing privacy-focused AI frameworks
Objectives
Upon completion of this Data Governance and Privacy in AI Systems training course, participants will be able to:
- Gain a comprehensive understanding of global and regional AI regulatory landscapes
- Master adaptive governance approaches for AI systems
- Develop practical skills in AI risk assessment and compliance
- Create customized governance frameworks tailored to their organization’s needs
- Apply real-world case studies to address organizational challenges
Training Methodology
This Data Governance and Privacy in AI Systems training course combines interactive lectures, group discussions, case studies, and practical exercises to provide a comprehensive learning experience. Participants will engage in thought-provoking discussions, analyze real-world scenarios, and apply the concepts learned to practical situations. The training course facilitator will draw upon extensive industry experience to share best practices and provide personalized guidance to attendees. Throughout the training course, participants will have ample opportunities to network with peers and develop actionable plans for implementing corporate governance improvements within their organizations.
Organisational Impact
Upon completion of this Data Governance and Privacy in AI Systems training course, your organization will benefit in several ways, including:
- Reduced risks of privacy compliance issues in AI systems
- Strengthened data protection frameworks
- Increased trust among stakeholders in AI projects
- Enhanced preparedness for international data transfers
- Fostered development of a strong privacy culture
- Competitive advantage through improved data governance practices
- Better readiness for privacy audits
- Optimized risk management practices
- Enhanced reputation for safeguarding data
Personal Impact
After attending this Data Governance and Privacy in AI Systems training course, participants will gain:
- Advanced expertise in AI privacy and data governance
- Increased capability to lead privacy-compliant AI projects
- Improved risk management skills in the context of data protection
- Enhanced strategic privacy management competencies
- A deeper understanding of personal responsibility in data protection
- Advanced knowledge of privacy regulations and frameworks
Who Should Attend?
This Oxford Management Centre Data Governance and Privacy in AI Systems training course is suitable for a wide range of professionals who are involved in AI, governance, risk management, compliance, and decision-making processes within their organizations. The course content is designed to benefit participants from various industries, including oil and gas, financial services, manufacturing, and telecommunications, among others.
This training course is suitable to a wide range of professionals but will greatly benefit:
- Legal Directors handling privacy compliance and regulations
- Data Governance Managers overseeing AI data frameworks
- Privacy Program Directors managing organizational privacy
- Information Security Directors responsible for data protection
- Compliance Officers handling data privacy regulations
- AI Project Directors managing data-intensive implementations
- Risk Management Directors overseeing data privacy risks
Course Outline
- Global Privacy Framework
- Regional Focus
- Data Classification Systems
- Data Lifecycle Management
- Data Governance Operating Models
- Privacy Impact Assessments
- Privacy Risk Assessment Models
- Data Protection Impact Assessments
- Data Anonymization Techniques
- Encryption Standards
- Organizational Integration
- Privacy Governance Structure
- Privacy Metrics Development
- Incident Response
- Emerging Topics
- Privacy-Preserving AI Techniques
- Federated Learning
Certificate
Oxford Management Centre Certificate will be provided to delegates who successfully completed the training course.
Accreditation
