Digital Labour Rights and Data Protection Training Course

Digital Labour Rights and Data Protection Training Course

Introduction 

In the rapidly evolving digital economy, Digital Labour Rights and Data Protection have become critical pillars for ensuring fair, ethical, and legally compliant work environments. As organizations increasingly rely on remote work platforms, gig economy systems, artificial intelligence, and data-driven decision-making, workers face new challenges related to surveillance, algorithmic management, data misuse, and lack of transparency. Digital Labour Rights and Data Protection Training Course is designed to equip participants with advanced knowledge of digital workplace rights, GDPR-aligned data protection principles, cybersecurity awareness, algorithmic accountability, and ethical data governance.

The course provides a comprehensive framework for understanding how labour law, human rights, and data privacy regulations intersect in digital ecosystems. Participants will explore global standards such as GDPR compliance, AI governance frameworks, platform worker protection policies, and data ethics principles. By combining legal insights, practical case studies, and applied digital tools, the program empowers professionals, policymakers, HR practitioners, and digital platform operators to build safer, fairer, and more transparent digital work environments.

Course Duration

5 Days

Course Objectives

1. Understand Digital Labour Rights frameworks in the global gig economy 
2. Analyze Data Protection laws (GDPR, Data Privacy Acts) and compliance requirements 
3. Apply Cybersecurity best practices in digital workplaces 
4. Evaluate Algorithmic management and worker surveillance systems
5. Strengthen knowledge of AI ethics and responsible AI governance
6. Develop skills in Data breach prevention and incident response
7. Promote Digital worker dignity and fair compensation systems
8. Assess Platform economy labour exploitation risks
9. Implement Privacy-by-design and security-by-design principles
10. Understand Cross-border data transfer regulations
11. Build capacity in Digital HR compliance and workforce monitoring ethics
12. Enhance awareness of Data subject rights and consent management
13. Strengthen advocacy for Sustainable digital labour ecosystems

Target Audience

1. HR managers and talent acquisition professionals 
2. Legal practitioners and labour law consultants 
3. Data protection officers (DPOs) 
4. Government regulators and policymakers 
5. Gig economy platform operators (Uber-like, freelance platforms) 
6. Trade union representatives and labour rights activists 
7. IT, cybersecurity, and data governance professionals 
8. University researchers and postgraduate students in law/technology 

8 Training Modules

Module 1: Foundations of Digital Labour Rights

• Overview of digital labour ecosystems 
• Rights of gig and remote workers 
• Labour exploitation in platform economies 
• Global labour standards (ILO frameworks) 
• Case Study: Uber driver classification disputes in global markets 

Module 2: Data Protection & Privacy Fundamentals

• Principles of data protection laws 
• GDPR and global compliance standards 
• Personal data vs sensitive data 
• Data subject rights 
• Case Study: Facebook-Cambridge Analytica data scandal 

Module 3: Algorithmic Management & Workplace Surveillance

• AI-driven employee monitoring systems 
• Productivity tracking tools risks 
• Bias in algorithmic decision-making 
• Transparency in automated HR systems 
• Case Study: Amazon warehouse surveillance systems 

Module 4: Cybersecurity in Digital Workspaces

• Threat landscape in remote work 
• Phishing, ransomware, and insider threats 
• Secure communication tools 
• Incident response planning 
• Case Study: Twitter internal account breach 

Module 5: AI Ethics & Digital Governance

• Ethical AI frameworks 
• Bias mitigation in AI systems 
• Responsible automation in HR 
• Human oversight mechanisms 
• Case Study: COMPAS algorithm bias in criminal risk scoring 

Module 6: Cross-Border Data & Compliance

• International data transfer laws 
• Data localization requirements 
• Cloud computing risks 
• Multi-jurisdiction compliance strategies 
• Case Study: Schrems II ruling impact on EU–US data transfers 

Module 7: Worker Data Rights & Digital Identity

• Employee data ownership rights 
• Consent management systems 
• Digital identity protection 
• Workplace monitoring ethics 
• Case Study: Gig worker data profiling controversies 

Module 8: Building Ethical Digital Workplaces

• Corporate digital responsibility 
• Inclusive digital labour policies 
• ESG and digital rights integration 
• Whistleblowing and accountability systems 
• Case Study: Microsoft responsible AI and workplace ethics initiatives 

Training Methodology

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.