Professional Standards for Photojournalism After the AI Turn
Abstract
The proliferation of artificial intelligence and synthetic media has fundamentally altered the conditions under which photographic images are produced, circulated, and evaluated. As traditional assumptions of indexical trust have eroded, journalism, human rights documentation, and accountability processes face an urgent need to reconstruct the foundations of visual credibility. The crisis of visual evidence has revealed the inadequacy of appearance-based trust and purely technical verification as guarantors of authenticity.
This research article proposes a professional and institutional response to the post-AI visual environment by articulating a framework for reconstructing visual trust. Drawing on interdisciplinary scholarship in journalism studies, media ethics, visual communication, and evidence theory, the study synthesizes prior analyses of visual testimony, ethical risk, quasi-legal standards, and AI-driven disruption. It advances a set of professional standards centered on procedural trust, transparency, and accountability.
The article argues that visual trust can be restored not through the elimination of uncertainty, but through resilient professional practices that integrate provenance, verification literacy, institutional oversight, and ethical reflexivity. By framing trust as an outcome of governed processes rather than visual realism, the study offers a forward-looking model for sustaining the evidentiary and social role of photojournalism after the AI turn.
Keywords:
visual trust; photojournalism standards; artificial intelligence; visual evidence; media ethics; professional accountability
Author: Mykola Khokhotva
ORCID: 0009-0007-4365-875X
Reviewers:
- Myroslav Ivanovych Dochynets
ORCID: 0009-0007-2018-0132 - Oleh Tytarenko
ORCID: 0009-0008-9343-0427
DOI: pending
Full Text (PDF)
Reconstructing-Visual-TrustReferences
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