Why pre-screen digital art curators before the interview
Machine-assisted work brings questions a painting show never raised: who made this, what was it trained on, and did the artists in that training set agree. A curator who waves those away exposes an institution to an argument it will lose publicly. Curators worth hiring have a clear position and have applied it to a specific work. A short screen asks how they handled a disputed attribution.
What actually matters when screening Digital Art Curator candidates
- 01
Body of work
Ask for specific exhibitions they curated: venue or platform (gallery, Feral File, Bright Moments, museum media wall), artist list, works acquired, attendance or mint figures.
- 02
Craft and technique
Probe fluency with generative and AI practice: diffusion versus GAN lineage, prompt provenance, on-chain minting, colour calibration, projection mapping, TouchDesigner or Unreal playback rigs.
- 03
Reliability and process
Test how they run install: condition reports for code-based works, artist contracts, loan agreements, hardware failover plans, timelines with fabricators and AV technicians.
- 04
Presence with an audience
Judge how they write and speak about the work: wall labels, catalogue essays, artist talks, panel moderation, defending AI-authorship questions to sceptical collectors or press.
Pre-screening questions to ask Digital Art Curator candidates
12 questions grouped by what they test. Ask the same set in every screen and score answers on a consistent scale, or send them as an async video screen and compare answers side by side.
Exhibitions delivered
3 questions01Can you describe a project where you curated digital or machine-assisted work?
Listen forA delivered exhibition or programme with their own curatorial role and the selection rationale described.
Proposals and concepts only, or involvement limited to producing an exhibition someone else curated.
02How would you approach curating an exhibition focused on this kind of work?
Listen forA curatorial argument stated first, with works selected to make it rather than assembled by theme.
Exhibitions organised around technology, or a proposal with no argument beyond showing the medium.
03Can you describe your experience with interactive or installation work?
Listen forPractical delivery experience including technical failure during a run, and how it was handled.
No experience of a work failing mid-exhibition, or technical support treated as somebody else's job.
Curatorial judgement
3 questions04What criteria do you use to select artists and works for an exhibition?
Listen forSelection on what a work says and how well it says it, with technical novelty explicitly not sufficient.
Selection driven by novelty or audience numbers, or no work they rejected on curatorial grounds.
05How do you evaluate the originality and quality of machine-assisted artworks?
Listen forThe artist's actual contribution understood, distinguishing considered practice from lightly prompted output.
Output quality treated as the whole judgement, or no interest in the process behind a work.
06How do you balance established curatorial methods with new technology?
Listen forCuratorial standards applied consistently, with the medium not exempting work from ordinary judgement.
New media treated as requiring different standards, or established practice dismissed as irrelevant.
Attribution taken seriously
2 questions07How do you handle the ethical questions around machine-generated work?
Listen forTraining data provenance and artist consent raised directly, with a clear position applied to real works.
Provenance treated as unknowable, or consent questions dismissed as impractical to answer.
08How do you collaborate with artists and technologists in this field?
Listen forContributions of each party credited accurately, with attribution agreed in writing before exhibition.
Technical collaborators uncredited, or attribution decided by the curator after the fact.
Preserved and documented
4 questions09How do you document and archive digital and machine-assisted works?
Listen forThe work's dependencies documented alongside the output, including software versions and models used.
Only the visual output archived, or no record of what the work actually requires to run.
10How do you ensure the preservation and longevity of digital works?
Listen forObsolescence planned for, with emulation or migration discussed with the artist while they are available.
Preservation treated as file storage, or artist intent for future migration never established.
11What strategies do you use to engage an audience with this work?
Listen forInterpretation that helps visitors understand the process, without either mystifying or dismissing it.
Interpretation that overstates autonomy, or technical process left entirely unexplained.
12How do you measure the success of an exhibition?
Listen forCritical response and audience engagement both considered, with visitor numbers not treated as the measure.
Success measured by attendance alone, or no reflection on whether the argument landed.
How to score responses
Score every candidate on the same four criteria immediately after the screen. At this stage you are shortlisting for panel interviews, not making the final call.
Body of work
35%5Names dated shows with artist rosters, curatorial premise, budget scale, and outcomes such as sales, press, or institutional acquisition.
Craft and technique
25%5Discusses model lineage, training data ethics, and file or display formats with the accuracy of someone who has installed the work.
Reliability and process
25%5Describes concrete install schedules, contingency for crashed screens or expired dependencies, and archival plans for software-dependent pieces.
Presence with an audience
15%5Explains contested AI-authorship issues clearly to lay audiences, with published essays, recorded talks, or moderated panels as evidence.
Who made this, what was it trained on, and did those artists agree. A one-way video screen asks how they answer that.
Try it on HirevireScreening FAQ
Process basics
How long should a pre-screening round for this role take?
Fifteen minutes across eight to ten questions, answered async. Enough to establish the exhibitions they delivered, test their selection judgement, and check their attribution and preservation practice.
What should I ask for alongside the screen?
Exhibitions they delivered with their own role stated, and the selection rationale for one of them. A list of shows tells you little without knowing what they chose and why.
Evaluating answers
What is the strongest signal when screening this role?
A clear position on attribution and training data, applied to a real work. Curators who have thought about it can describe a case. Anyone who treats it as settled has not faced the argument.
How do I judge their curatorial judgement?
Ask what they rejected and why. Real answers describe work that was technically impressive but had nothing to say. Anyone who selects on novelty is programming a technology showcase.
Go deeper on this role
Sanat has been hiring since 2012 and watching the recruitment industry change up close ever since, and turned that screening process into Hirevire's video screening platform. LinkedIn
