Fifteen projects. Human agency at work.
How can organisations use AI while sustaining human agency? EMANAIRE approaches this question through four connected themes: leadership and governance; work practices and workflows; social dynamics and collaboration; and skills and careers.
Leadership & governance
How do organisational ambitions for AI translate into everyday decisions?
We examine how leadership and governance shape its use, where rules meet practical judgement, and how people share responsibility for the decisions that follow.
Top-down and Bottom-up Rulemaking around AI: From Policy to Practice
How do organisations turn AI policies into rules that people can use in everyday work?
Stockholm, SwedenDC02
Leadership and Work Design for Meaningfulness in the Age of AI
AI can change the tasks people perform without preserving the purpose, dignity and identity they find in their work.
Ljubljana, SloveniaDC03
Leader Legitimacy in Augmented Leadership
When AI takes on decisions, coordination and oversight, what makes a human leader a legitimate source of authority?
Oslo, NorwayDC04
AI Companions and Caregiver Workflows in Inclusive Care
People are increasingly turning to AI companions for comfort, help and support, including in situations of vulnerability and mental ill health.
Munich, Germany
Work practices & workflows
How does AI change the work people actually do?
We examine how workers adapt tasks, roles and routines, and how organisations can support individual initiative while maintaining dependable coordination and a good experience of work.
Human-AI Co-existence and Role Changes in High-Trust Workplaces
As AI enters workplaces built on professional trust, it can change who does what and who is responsible for the result.
Stockholm, SwedenDC06
AI Co-Creation, Morality, and the Inner Good in Creative Industries
What happens to the value and purpose of creative work when people create alongside AI?
Helsinki, FinlandDC07
Human Agency in Distributed, Fragmented, and AI-Mediated Workflows
Work is increasingly divided across people, teams, AI copilots and autonomous agents, often across systems and time zones.
Ljubljana, SloveniaDC08
Balancing Individual AI-Augmentation with Organisational Stability
Employees are building personalised AI workflows, sometimes outside formal organisational systems.
Applications open · 10 October deadlineZurich, Switzerland
Skills & careers
What do today's choices about AI mean for tomorrow's expertise?
We examine how adoption affects learning, skills and career opportunities over time, and how organisations can pursue immediate improvements while sustaining people's capacity to develop.
AI and Workplace Inclusion
AI is increasingly involved in recruitment, evaluation, communication, coordination, learning and career development.
Aarhus, DenmarkDC13
Measuring Skills for Human–AI Collaboration among Young Professionals
What capabilities help young professionals collaborate effectively and responsibly with AI?
Munich, GermanyDC14
Futureproofing Employee Careers in the Age of Generative AI
AI can create new career possibilities while also making existing skills and roles feel less secure.
Oslo, NorwayDC15
Knowledge Creation and Sharing in Augmented Organisations
This project studies how generative AI reshapes the social fabric of early-career work: who people turn to for help, how they learn from colleagues, how expertise develops, and how responsibility for decisions and outcomes is negotiated.
Amsterdam, Netherlands
Social dynamics & collaboration
Who benefits when AI becomes part of a team?
We examine how access to AI and its use in communication reshape trust, relationships and interdependence, and what helps people retain a voice in shared work.
Managing Team Communication in AI-Augmented Teams
When teams delegate drafting, analysis and coordination to AI, the way colleagues communicate can change.
Oslo, Norway↗DC10
AI-mediated Communication and Collaboration Norms at Work
How do colleagues negotiate trust and authenticity when AI takes part in their communication?
Helsinki, Finland↗DC11
Human-Machine Communication in Hybrid Knowledge-Intensive Work
Working with AI involves more than asking a system a question.
Munich, Germany↗