Introduction

Artificial Intelligence (AI) is rapidly transforming global workplaces, reshaping employment structures, decision-making systems, productivity models, and labor relations. As organizations adopt AI-driven automation, algorithmic management, and data-centric workforce analytics, urgent questions emerge around ethical AI governance, labor protection, digital surveillance, bias mitigation, transparency, accountability, and workers’ rights in the algorithmic economy. AI Governance and Workers’ Rights Training Course equips participants with practical and policy-level understanding of how AI intersects with labor rights, ensuring compliance with emerging global frameworks such as EU AI Act standards, ILO labor principles, data protection regulations, and responsible AI governance frameworks.

The course focuses on building capacity among policymakers, HR professionals, union leaders, compliance officers, and tech practitioners to navigate the evolving landscape of AI ethics, workplace automation risks, algorithmic discrimination, gig economy regulation, and digital labor rights protection. Participants will explore real-world case studies of AI misuse and success in workforce management, while developing actionable governance strategies that balance innovation with fairness, accountability, and human dignity in the workplace.

Programme Curriculum

AI Governance and Workers’ Rights Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand AI governance frameworks in modern workplaces
Analyze algorithmic bias and workplace discrimination risks
Evaluate AI-driven employee surveillance systems
Apply ethical AI compliance standards (EU AI Act, OECD AI principles)
Strengthen workers’ digital rights protection mechanisms
Assess risks in automated HR decision-making systems
Promote transparent algorithmic accountability models
Integrate data privacy and GDPR-aligned workforce policies
Identify challenges in gig economy algorithmic labor platforms
Develop strategies for responsible AI deployment in HR tech
Enhance understanding of human-in-the-loop AI systems
Address impacts of workplace automation and job displacement
Build capacity for ethical digital transformation governance

Target Audience

HR managers and HR analytics professionals
Policy makers and government labor regulators
Trade union leaders and worker representatives
Corporate compliance and legal officers
AI developers and data scientists
Organizational development consultants
ESG and sustainability officers
Academic researchers and graduate students in labor studies or AI ethics

Course Modules

Module 1: Foundations of AI Governance in Workplaces

Core principles of AI governance
Ethical frameworks and accountability systems
AI lifecycle governance models
Stakeholder roles in AI oversight
Regulatory landscape overview
Case Study: Amazon warehouse algorithmic scheduling controversies

Module 2: Algorithmic Bias and Workplace Fairness

Bias detection in AI systems
Discrimination in recruitment algorithms
Fairness metrics in machine learning
Mitigation strategies for biased datasets
Audit frameworks for HR algorithms
Case Study: LinkedIn gender bias in job recommendations

Module 3: AI Surveillance and Employee Monitoring

Workplace tracking technologies
Productivity scoring systems
Ethical boundaries of surveillance
Psychological impacts of monitoring
Transparency and consent frameworks
Case Study: Uber driver performance algorithm monitoring

Module 4: Digital Labor Rights in the Gig Economy

Platform work governance challenges
Algorithmic task allocation systems
Income fairness and transparency
Worker classification issues
Legal protection gaps
Case Study: Uber and Deliveroo worker classification lawsuits

Module 5: Data Privacy and Workforce Analytics

Employee data protection laws
GDPR and workplace compliance
Data minimization principles
Consent in workplace analytics
Secure HR data governance systems
Case Study: Microsoft workplace productivity analytics debate

Module 6: Ethical AI in Recruitment and Performance Management

AI-based hiring systems
Resume screening algorithms
Performance prediction models
Risk of exclusion and bias
Human-in-the-loop hiring systems
Case Study: Amazon AI recruiting tool failure case

Module 7: Automation, Job Displacement and Workforce Transition

AI-driven job transformation
Skills disruption forecasting
Reskilling and upskilling frameworks
Social protection systems
Future of work policies
Case Study: IBM workforce automation restructuring program

Module 8: Responsible AI Policy Design and Implementation

AI ethics governance boards
Corporate AI compliance structures
Multi-stakeholder policy design
Risk assessment frameworks
Continuous monitoring systems
Case Study: EU AI Act implementation across industries

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

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@fineskilltrainingcenter.org or call +254769199797

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 Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you

Skills & Software Covered

AI policy literacy data privacy awareness algorithmic accountability digital rights advocacy

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000

AI Governance and Workers' Rights Training Course

Introduction

Programme Curriculum

Training Methodology

Skills & Software Covered

Available Sessions