Fairpicture and the fight for ethical visual storytelling in the age of AI

Fairpicture and the fight for ethical visual storytelling in the age of AI | Photo: Land O'Lakes, Inc.

Published on 25 March 2026 at 04:32 GMT

By Editorial Team SDG9

Ethical visual storytelling is becoming a central public interest issue as charities, newsrooms and campaign groups confront both poverty and the spread of AI generated imagery. In that debate, Fairpicture, a non-profit focused on ethical visual production, has emerged as an important reference point for organisations trying to document hardship without reducing people to symbols of suffering. Its work speaks to a wider reckoning across the humanitarian, development and media sectors, where questions once treated as communications details are now understood as questions of power, consent and public trust.

The phrase poverty porn remains uncomfortable, but its meaning is widely recognised. It describes the use of images that strip people of complexity and agency in order to provoke pity, outrage or donor response. The result is often a familiar visual grammar, the distressed child, the anonymous mother, the damaged settlement, the body marked only by lack. Such imagery may raise attention in the short term, but it can also leave a lasting impression that whole communities exist only as passive victims awaiting rescue. Fairpicture has positioned itself against that model, arguing that storytelling should not separate impact from dignity.

At the heart of Fairpicture’s approach is the argument that dignity is not an aesthetic preference, but part of truthful reporting. That distinction matters because visual storytelling does more than illustrate a report or accompany a campaign. It shapes how distant crises are imagined, how policy urgency is understood and how entire regions are framed in the public mind. When communities are shown only through deprivation, the image becomes a political shortcut. It can narrow public understanding of structural inequality and reinforce the idea that poverty is a permanent identity rather than a condition shaped by history, policy, conflict, exclusion or climate stress.

This is one reason Fairpicture has drawn attention beyond the non-profit sector itself. Its model is based on commissioning local photographers and filmmakers, strengthening informed consent and building editorial checks around context, safeguarding and non-stereotypical portrayal. The emphasis on local authorship is significant. For decades, much international visual storytelling has been shaped by institutions based far from the places they represent, with editorial decisions often made in wealthy countries and the visual record filtered through external assumptions about what audiences will respond to. A more locally rooted model does not solve every problem, but it does challenge the hierarchy embedded in traditional image making.

Fairpicture’s emphasis on local creators and informed consent reflects a wider shift away from extractive storytelling in the aid and development sector. In practice, that means asking not only whether an image is legally usable, but whether the person depicted has meaningfully understood how it may travel, how long it may remain online and what risks may follow from exposure. Those questions have become more urgent in a digital environment where a single image can be copied, translated, reframed and circulated far beyond its original purpose. What begins as campaign material may later appear in unrelated contexts, stripped of explanation and detached from the life of the person represented.

The arrival of generative AI has intensified these concerns. The rise of AI generated imagery has made ethical visual storytelling more urgent, because organisations can now produce emotionally powerful scenes of hardship without any relationship to the people supposedly represented. A synthetic image may appear to solve some practical problems. It may avoid revealing a vulnerable person’s identity, reduce production costs or help communications teams illustrate an issue where photography is difficult or unsafe. Yet it introduces a new set of risks. A fake but realistic image of poverty can still reproduce racialised stereotypes, flatten local realities and encourage viewers to consume hardship as an abstract visual category rather than a lived condition.

For organisations such as Fairpicture, the problem is not only whether an image is artificial, but whether it inherits the same exploitative logic that has long shaped parts of humanitarian communication. If a machine generated child in a refugee camp is used to trigger sympathy, urgency or donations, the absence of a real subject does not automatically remove ethical harm. The image may still train audiences to recognise crisis only through a narrow, decontextualised and emotionally manipulative lens. In that sense, AI has not replaced the poverty porn debate, it has expanded it.

The danger of poverty porn lies not only in sensationalism, but in how it trains audiences to see communities through helplessness rather than agency. That is why older guidance from civil society networks remains relevant. Organisations such as Bond, Dóchas and Save the Children have all contributed to a broader conversation about how people should be represented in advocacy and fundraising. Their work has helped push the sector away from stereotypes, towards images and narratives that acknowledge both hardship and personhood. None of these frameworks argues that difficult realities should be hidden. Famine, conflict, displacement and illness are real, and sometimes they must be shown plainly. The issue is not whether suffering can be documented, but whether it is documented with enough context, respect and accountability to avoid turning people into tools of persuasion.

This is especially important where children, survivors of violence or politically exposed communities are concerned. For children and vulnerable communities, poor visual practice can create harms that last long after a campaign or report has ended. A photograph may reveal location, family structure, school attendance or social identity in ways that become risky over time. Even when no immediate danger exists, repeated circulation can create a digital afterlife that the subject never chose and cannot control. With AI generated imagery, the risks shift but do not disappear. Viewers may no longer know whether they are looking at testimony, illustration or fabrication, and that uncertainty can weaken trust in visual evidence more broadly.

Trust is now one of the most important themes in the debate. Journalism, humanitarian advocacy and public interest communication all depend on some shared understanding that images refer to reality in a meaningful way. Once that assumption weakens, institutions face a credibility problem. In the age of synthetic media, public trust in images depends increasingly on transparency, traceability and ethical editorial standards. That is why Fairpicture’s interventions matter beyond the niche world of non-profit communications. The organisation is part of a larger effort to treat image making as a governance issue, where documentation, consent records and editorial scrutiny are not administrative burdens but conditions of legitimacy.

There is also a practical institutional challenge. Ethical storytelling often demands slower workflows, more conversation with contributors and a willingness to share control over how stories are framed. That can sit uneasily with donor cycles, campaign deadlines and the pressure to produce simple, emotionally legible content. A photograph that preserves nuance may be less immediately dramatic than one built around shock. A collaborative process may be more costly than sending in a foreign crew for a short assignment. Yet the apparent efficiency of the older model often concealed social and reputational costs that were simply borne by others.

Fairpicture’s model suggests that ethical storytelling requires structural change in how images are commissioned, edited and distributed. It is not enough to add a dignity statement at the end of a campaign if the production process still rewards spectacle. The deeper shift lies in deciding who is trusted to tell the story, who approves its use and what kinds of images are considered successful. This is where the conversation intersects with the United Nations Sustainable Development Goals. There is a clear connection to SDG 16, peace, justice and strong institutions, because truthful representation, accountability and informed consent are institutional responsibilities. There is also a meaningful link to SDG 10, reduced inequalities, since exploitative visual practices often reinforce unequal relationships between those with the power to publish and those who are published about.

That does not mean ethical visual storytelling can solve inequality on its own. Better photography will not fix broken aid systems, unequal media ownership or geopolitical neglect. But representation still matters. It affects which crises are recognised, which communities are humanised and which voices are treated as authoritative. In this sense, visual ethics is not a secondary issue beside policy, it is part of how policy attention is formed in the first place.

The debate over Fairpicture, poverty porn and harmful AI imagery is ultimately about who controls the public image of hardship, and on whose terms. That question now sits at the intersection of journalism, development, digital rights and civic accountability. It asks institutions to move beyond the assumption that good intentions are enough, and to accept that visual storytelling can harm even when it appears compassionate.

Ethical visual storytelling is not about avoiding difficult realities, but about representing them without erasing the people who live through them. For Fairpicture and the wider network of organisations working on these standards, the challenge is cultural as much as technical. It requires institutions to resist easy imagery, abandon familiar stereotypes and invest in methods that recognise subjects as participants rather than props. In an era shaped by synthetic media and compressed attention, that may prove harder than producing another striking image. It may also be far more necessary.

Further information:

·       Fairpicture, a non-profit focused on ethical visual storytelling, informed consent and locally led image production. https://fairpicture.org/

·       Bond, a UK network for development organisations that has published guidance on ethical storytelling and communications practice. https://www.bond.org.uk/

·       Dóchas, an Irish association of international development organisations known for its code on images and messages. https://www.dochas.ie/

·       Save the Children, a major child rights organisation that has contributed to debate on ethics, representation and the people shown in images. https://www.savethechildren.net/

·       Ethical Storytelling, a civil society initiative focused on improving standards in non-profit storytelling and representation. https://ethicalstorytelling.com/