Skip to content

Research

Research

Research is the connective tissue between my AI practice, visual work and digital building — defining questions, testing evidence, checking sources and deciding what should remain human-led.

01

Creative AI & speculative archives

AI Creative Practice / Speculative Archive uses generative systems to investigate memory, archival form and events that were never recorded.

The emphasis is on what computational interpretation can and cannot legitimately reconstruct — the boundary between plausible image and evidential claim.

Speculative Archive case study

02

AI research & decision systems

The AI Career Intelligence System is the working example: criteria design and structured comparison of emerging AI roles, with verification rather than accepting AI suggestions at face value.

  • Remote-work potential
  • Accessibility
  • Technical requirements
  • Creative / research fit
  • Portfolio evidence
  • Professional viability

AI Career Intelligence System case study

03

Human–AI workflow research

  1. Question
  2. Frame
  3. AI assistance
  4. Verify
  5. Reject / refine
  6. Human decision
  7. Output
  8. Reflect

The cycle is used to make authorship, verification and judgement visible, rather than treating AI output as the finished answer.

Human–AI Workflow Experiment

04

Historical & archival research

MA Jewish Studies & Holocaust History — University of Southampton — 2018–2020

Archival and historical research methods inform the visual work, including Inherited Trauma.

Ethical interpretation, testimony, memory and source evaluation are directly relevant to the way the current AI work is approached.

Deeper evidence

Research archive

Long-form notes, project documentation, certificates, assignments and process evidence are kept separately so the public portfolio stays selective.