Research Centre

Humanizing the Algorithm: A Global Research Initiative on AI-Driven Work & Well-Being

The Challenge

As Artificial Intelligence (AI) becomes deeply embedded in hybrid and asynchronous work, the corporate world faces a critical contention: will these tools foster "human flourishing" or become new instruments of digital control?. Current transitions are often uneven, leaving a significant gap in management literature regarding how to intentionally structure AI-enhanced models to improve organizational happiness while remaining ethically and legally aligned.

Learn More

Our Research Mission

Led by the Education Beyond Science (EBS) Centre, this project moves "beyond science" to synthesize technology, law, business and psychology. Using the Job Demands–Resources (JD-R) model and Self-Determination Theory (SDT), we are empirically testing how AI can be transformed from a source of "algorithmic anxiety" into a supportive resource for employee agency.

The Multi-Pillar Framework

We invite contributors to engage with our four-pillar model for sustainable digital management:

AI-Enhanced Flexibility: Evaluating intelligent scheduling and task automation.
Legal & Ethical Safeguards: Examining the "Right to Disconnect" and algorithmic transparency as buffers against burnout.
Organisational Dynamics: Shifting management from surveillance to trust-based psychological safety.
Human Outcomes: Measuring the ultimate success of AI through stress reduction and organizational happiness.

Our Methodology & Data

This study leverages the world's most comprehensive longitudinal datasets to ensure global validity:

EWCS: Tracking job autonomy and digital tool usage.
OECD: Mapping country-level governance and employment quality.
Gallup World Poll: Measuring the engagement and thriving of the global workforce.

Join the Education Beyond Science Mission

We are actively seeking researchers, policymakers, and organizational leaders to collaborate on this ongoing empirical validation. Whether through data sharing, policy analysis, or pilot implementations, your expertise can help define the next generation of human-centred work models.

Get Involved

Explore the SAP: Review our Statistical Analysis Plan, including Multilevel Modelling (HLM) and Structural Equation Modelling (SEM) pathways.
Collaborate: Partner with us to ensure technological advancement serves the goal of societal progress.