Full program description
Identify unethical practices and mitigate business risks through ethical controls
Learners will identify unethical practices throughout the data supply chain and mitigate business
risks through controls.
Who Should Attend
1. Data Protection Officers
2. Staff who formulate and review data protection policies
3. Staff who develop data protection management programmes
2 Days/16 hours
Personal Data Protection Act and the key obligations under the Data Protection Provision
Ethical considerations for the following obligations:
- Purpose Limitation
- Access and Correction
- Retention Limitation
- Transfer Limitation
- Openness Obligation
Accountability approach for handling of personal data in different stages of data lifecycle
Data Governance or ethical guidelines in the Infocomm Technology industry
- Clear roles and responsibilities for the ethical deployment of AI
- Ethical principles
o Human Centricity and Well-being
o Responsibility, accountability and transparency
o Human rights
o Robustness and security
Understand risk involved in the deployment of data-driven initiatives
- Internal Governance Structures and Measures
- Determining AI Decision-Making Model
- Operations Management
- Customer Relationship Management
- Guide to Data Sharing
- Guide to Accountability
- Guide to Development of a Data
Protection Management Programme
Mode of Assessment
Learners will be required to undergo assessment, consisting of a written test and oral
questioning. Both will be conducted in the classroom
Learners have knowledge of the following:
- Personal Data Protection Act (PDPA) and the key obligations under the Data Protection Provision.
- Accountability approach for handling of personal data in different stages of data lifecycle.
- AI/Data Governance or ethical guidelines in the Infocomm Technology (ICT) industry.
- Understand risk involved in the deployment of data-driven/AI initiatives (e.g. minimising and mitigating biasness, inaccurate and non-representative datasets.
Learners will be able to perform the following:
- Review internal code of ethics to improve transparency, accountability and auditability for stakeholders
- Implement a set of ethical principles for organisations data driven/AI initiatiatives that will build consume trust and confidence
- Provide guidance to business units on ethical principles when implementing data-drive solutions
- Put in place a mechanism to ensure that quality and selection of data are in place during development and maintenance of data solutions
- Integrate ethical principles with organisations corporate values and risk management framework when embarking on data driven solutions
- Support the setting up of appropriate structure such as ethics review board with clear roles and responsibilities for ethical deployment of data driven systems
- Advise how adoption of ethical principles may
impact organisations compliance to local data protection
regulations and mitigate business risks.
1. Learner has attended and is competent for module titled Fundamentals of Personal Data Protection Act or its equivalent
2. Learners are assumed to be able to:
- Understand relevant organisational strategies, objectives, culture, policies, processes and products / services;
- Have information gathering skills to gather and collate necessary data;
- Have analytical skills to assess policies and procedures;
- Have business writing skills to prepare management report;
- Have interpersonal and communication skills to interact with relevant stakeholders;
- Have facilitation skills to ask the right questions to elicit necessary information; and
- Be aware of compliance
requirements of organisation.
Price to be advised.