Context

A futures-focused design and strategy collective working with companies and organisations across 22+ industries. Built around the question of how emerging technologies should be adopted in ways that hold cultural, ethical, and emotional dimensions, not only technical ones.

Work

As co-founder, leading creative strategy, vision building, and speculative prototyping with clients. Developing public frameworks and narratives that propose alternatives to dominant tech adoption patterns. Facilitating cross-sector workshops, foresight labs, and the SocAIety multi-agent AI research initiative.

Outcome

An operating cooperative with a network of 22 partner companies. Public frameworks and methods used in client engagements and shared back to the field. Ongoing research output, including the SocAIety project on coordinated AI agents.

Context

Two AI-driven learning platforms were already in use — Reaktor’s Elements of AI and Rockway. The question was whether learners trusted what these systems recommended, and on what basis.

Work

As research lead on AI ethics:

• —Designed the trust research across both platforms
• —Ran studies with over 1,500 users
• —Focused on transparency in recommendation systems

Outcome

Findings that fed into the work that followed:

• —A clearer picture of how learners read trust and transparency
• —Inputs into the next iteration of both platforms
• —Continued use of the work in education-AI policy discussions

Context

A consortium of 22 companies wanted to understand whether teams of AI agents — working together rather than as single assistants — could meaningfully extend what their organisations offer.

Work

As research lead, with Haaga-Helia students:

• —Designed the research across the 22 companies
• —Oversaw structured interviews with founders and practitioners
• —Mapped how agents work together in real contexts

Outcome

What the research produced:

• —A governance framework for human-in-the-loop oversight
• —Strategic recommendations for adopting coordinated agent systems
• —A clearer view of where the limits sit

Context

Children’s rights to data, voice, and attention are increasingly shaped by AI systems they did not choose and cannot meaningfully consent to. Rights frameworks exist on paper but rarely arrive in the rooms where the actual systems get built — design teams, regulatory drafts, product decisions.