VAR & AI: How “Visual Truth” Is Technically Produced in Soccer

By Javier Surasky

Dedicated to my son and teammate in every goal, Manuel Surasky

A Spanish version (ES) will be published next Thursday

AI-assisted VAR control room analyzing a soccer match through cameras, data networks, and automated decision systems.

From human mistakes to the technical production of truth

The 2026 FIFA World Cup is approaching, and in our AI and society series, we want to discuss the Video Assistant Referee (VAR), presented as a technological solution to a structural problem: serious refereeing error. Yet far from eliminating disputes, it shifted their focus: who decides what an image narrates, and how?

Principle 1.1 of the VAR Protocol of the International Football Association Board (IFAB) states that the system is intended to “assist the referee only in the event of a ‘clear, obvious and manifest error’ or a ‘serious missed incident’,” and it limits intervention to four situations: goals, penalty decisions, direct red cards (not second cautions), and mistaken identity, when the referee cautions or sends off the wrong player (IFAB, n.d.). The promise was straightforward: more technology would mean more justice.

That narrative, however, rests on an assumption rarely made explicit: that referring error is a perceptual failure. But refereeing is not exhausted by “seeing well;” it also involves situated interpretation, the application of open-textured rules, and the exercise of authority. And this is where the problems begin.

Technology does not remove the human component; it reconfigures it. Collins, Evans, and Higgins (2016) argue that the incorporation of technologies into officiating, far from eliminating the human role, redistributes authority and reshapes decision-making within technical configurations.

In that sense, VAR does not suppress conflict; it displaces it. Authority no longer lies exclusively with the on-field referee, visible, identifiable, and personally accountable, but is distributed across a network of cameras, operators, protocols, software, and international bodies. The central question is no longer “What did the referee see?” but rather: how was the image on which the decision is based produced and understood?

More than correcting errors, VAR introduces a mutation: from human rights/wrong to a decision regime grounded in a technical production of evidence that, far from neutral, is selective, mediated, and, to a significant extent, opaque. And with that, the problem is no longer only error: it is who produces—and how—what counts as truth in the game.

VAR as a regime for producing visual truth

VAR is a device that structures what is taken to be true during the match. It determines which plays are reviewable, which images are critical, which angles are shown, and how the decision-making process is articulated; and those determinations are part of the construction of the very evidence on which the main referee’s ruling will rely.

VAR’s legitimacy draws on a longstanding trust in images as proof. Susan Sontag warned that, although photographs are valued as transparent accounts of reality, they produce an objectification: “they turn an event or a person into something that can be possessed,” functioning as a form of “alchemy” rather than direct access to facts (Sontag, 2003: 81). In this way, the image necessarily expresses processes of selection, slowing down, interpolation, and reconstruction guided by those who “capture” it—or, more precisely, generate it.

Bowker and Star have shown that every classification rests on categories that “are historically situated artifacts and, like all artifacts, are learned as part of membership in communities of practice” (Bowker & Star, 1999: 287). In VAR, such decisions become visible in minor questions such as which body parts count, what margin of error is accepted, and which frame fixes the exact instant to be considered. It is those decisions, and not VAR “itself,” that determine outcomes, even when the image grounding the decision is mediated evidence, constructed under technical and normative criteria.

By “mediated evidence,” we mean evidence that functions as a record of an event, but whose meaning is shaped by technical and normative processes of selection, processing, and validation that condition what it signifies.

AI and evidence transformation

The gradual incorporation of artificial intelligence (AI) systems into officiating intensifies the logic of displacement through VAR-initiated decentralization. In the case of semi-automated offside, FIFA (2022: 1) describes a system based on: (1) “technology capable of automatically generating offside lines in all areas of the pitch; (2) ball-tracking capability that can automatically identify the location of the ball and the moment the ball is kicked; (3) a valid skeletal-tracking system capable of automatically and accurately identifying skeletal points on multiple players simultaneously; and (4) an alert system capable of automatically displaying messages when offside incidents occur.”

Once again, the core issue is the status attributed to the decision that VAR technology produces. Offside ceases to be an interpretive matter, contextual and thus debatable, and becomes an unquestionable technical fact. The decision is no longer the application of a rule, but the AI’s verification of a situation.

The “detail” is that, as Hildebrandt warns, computational systems do not merely represent reality; rather, “Acting ethically concerns making the right decision, both at the level of individual choice and at the level of designing the legal, political, and technical choice architectures that frame such choice” (Hildebrandt, 2020: p. 297). In VAR decisions, especially when assisted by AI, about how to apply a rule become crystallized and assumed to apply identically across situations. An open-textured rule is thus transformed into a binary output: offside / not offside.

As a result, the space for interpretation narrows in a sport where a player’s creativity is a positive, admired value, and rule application shifts into a technological realm beyond the reach of most actors involved. This produces a second effect: the referee’s authority itself is called into question. The human referee validates, or becomes part of executing, a decision they did not make, while the source of that decision becomes diffuse: “the system showed me.”

The incorporation of AI transforms how decisions are made and how they are justified, accepted, or contested. The game’s truth shifts from a human view, with possible human error, to a mere calculation performed by algorithms that were not only defined by people with the same capacity to err as referees, but also create a closed system—opaque to those to whom it is applied and unintelligible to most third parties who watch it: the fans.

The result is that VAR “was never uncritically received by pundits, managers, or fans. Critical voices quickly emerged, especially because of VAR’s perceived ineffectiveness and its ability to construct confusing situations” (Petersen-Wagner and Lee Ludvigsen, 2023: 870). The opacity inherent in officiating does not disappear; it simply changes form and becomes better hidden.

Image, controversy, and a crisis of trust

The 2022 World Cup final between Argentina and France makes the effects of this new evidence regime especially clear. Many pointed out that before the penalty awarded for Gonzalo Montiel’s handball, there had been a handball by Dayot Upamecano. To support their claim, they circulated video images.

What matters here is the way the conflict shifted toward the image underpinning the decision: arguments for and against relied on videos of the play from different angles, speeds, and crops. The dispute concerned which images were valid, which had been used by VAR during the match, and under what criteria the evidence was constructed, such that the referee was not called to review the incident.

The controversy was not about which rule should be applied, but about the process of producing the visual proof of what “really happened.” Far from closing the discussion, this keeps it alive over time, reopening it with every new angle or edit of the footage, and thus, where VAR promised certainty and objectivity, the very human divergence of opinions about the same event re-emerges in the face of contradictory evidence.

This case, notable for occurring in a World Cup final, should not be read as an exceptional emotional reaction, but as an epistemic symptom. It shows that trust does not rest on visuality alone and requires answers about control and the ways media produce the evidence they display. In the era of VAR and AI, the image ceases to be the endpoint of debate and becomes one of its primary sources of friction.

The mass spread of deepfakes through AI has only increased doubts, because altering the image that VAR will show requires far less technology (and production time) than creating a good deepfake: removing a frame, shifting a hand or an offside line by millimeters… is possible in less time than it takes a referee to walk over and review an incident when summoned.

Empirical evidence and VAR’s unintended effects

Empirical studies on VAR show that gains in decision accuracy coexist with unintended effects on authority in the field (Spitz et al., 2021; Zhang et al., 2022; Archibald et al., 2025).

Spitz et al. (2021: 147) report that “the predictive odds for making the correct decision after VAR intervention were significantly higher than for the initial referee’s decision,” and Zhang et al. (2022) observe improvements in key decisions in women’s World Cups, while qualitative studies highlight disciplinary effects in which an interviewed player notes that with VAR “I feel like I’m constantly being watched [and] I remember being told by the referee that VAR was watching me” (Archibald et al., 2025: 8). This awareness of constant observation recalls the Foucauldian panopticon, which induces “a conscious and permanent state of visibility that assures the automatic functioning of power” (Foucault, Discipline and Punish: 204).

From this perspective, greater accuracy is achieved through the presence of the pitch’s “Big Brother.” The technological effect weighs in before play even begins, reaffirming that perception, even among players and referees, is more decisive than the technological contribution considered in isolation.

Image, governance, and power

VAR operates as an authority capable of defining what occurred in the field from an institutionally opaque position. As Pielke noted even before its implementation, “international sports organisations have developed in such a way that they have less well-developed mechanisms of governance than many governments, businesses and civil society organisations” (Transparency International, 2016: 29). Remote technological assistance to referees is part of that architecture: it has immediate effects, but the technical criteria, operating protocols, and parameters that structure evidence production are not transparent: “Private entities develop many sports arbitration algorithms, and their inner workings are often undisclosed” (Farajpour et al., 2025: 1).

The problem is compounded because digital audiovisual evidence is inherently unstable: it depends on specific technical procedures to maintain its integrity. The United Nations Office on Drugs and Crime warns that “digital evidence poses unique authentication challenges because of (…) its fragility (i.e., it can easily be manipulated, altered or damaged)” (UNODC, 2019), while the Scientific Working Group on Digital Evidence of the United States National Institute of Standards and Technology (SWGDE) stresses the importance of chains of custody, defining them as “the chronological documentation of the movement, location, possession, and disposition of evidence,” and then stating that “maintaining an unbroken chain of custody is essential to ensure the reliability of digital evidence” (SWGDE, 2020: 12). Yet none of this is part of VAR’s design, nor have external audit procedures been established for its systems or for the material they generate.

Consequently, VAR’s real power comes from its institutionally protected position against challenge, redefining the relationship between decision, responsibility, and legitimacy.

Football, given its global visibility and symbolic density, makes these tensions—intrinsic to the introduction of digital technologies into the governance of human conduct—especially clear, thereby revealing a problem that extends far beyond sport.

Conclusions

The incorporation of VAR and AI systems into officiating entails a deeper transformation: it changes how truth is produced, validated, and accepted during the match.

The central problem is how the evidence supporting a decision was constructed. Here, we have sought to show that VAR does not operate as a neutral mirror of what occurred, but as a device that produces mediated evidence through prior normative, technical, and organizational choices that are rarely visible or open to debate. AI arrives to reinforce that displacement and to heighten doubts about whether what is being shown is what really happened.

The core issue of VAR associated with AI is institutional. VAR functions as an authority capable of influencing decisions critical to a football match, yet it lacks mechanisms to make its processes transparent, which are naturalized as technologically objective when they are profoundly human and subjective.

Based on this diagnosis, some minimum criteria for VAR governance can be proposed:

  • First, it is necessary to make transparent how relevant images are selected, processed, and presented.
  • Second, institutional channels for independent audits of its systems and protocols should be established.
  • Third, the traceability of visual evidence must be ensured so that it can be tracked from capture through archiving.
  • Finally, there must be greater clarity regarding the role and limits of technical assistance, making clear that VAR neither does, nor will ever, eliminate the subjectivity inherent in human decision-making—and the responsibility that follows from it.

The VAR case is a dense empirical one that makes the tensions of technologically mediated decision-making exceptionally visible, because few spaces are as intensely debated as football, where passion and reason do not always walk shoulder to shoulder.

References

Archibald, H.; Mascarenhas, D.R. y Cunningham, I. (2025). “VAR is watching you”: Professional football players’ experiences and adaptations to VAR implementation. Managing Sport and Leisure. https://doi.org/10.1080/23750472.2025.2553858

Bowker, G.C. y Star, S.L. (1999). Sorting things out: Classification and its consequences. MIT Press.

Collins, H.; Evans, R. y Higgins, M. (2016). Bad call: Technology’s attack on referees and umpires and how to fix it. MIT Press.

Farajpour, R.; Amerinia, M.B. y Pourjavaheri, A. (2025). The Role of Artificial Intelligence in Arbitration and Legal Challenges Arising from Automated Decisions in Sports. AI and Tech, Behavioral and Social Sciences, 3(2), 21–28. https://doi.org/10.61838/kman.aitech.3.2.3

Fédération Internationale de Football Association (FIFA). (2022). Semi-automated offside technology. Component Testing Overview. https://digitalhub.fifa.com/m/ee666b445da4e29/original/SAOT-Component-Testing-Overview.pdf

Foucault, M. (2002). Vigilar y castigar: Nacimiento de la prisión. Siglo XXI Editores.

Hildebrandt, M. (2020). Law for computer scientists and other folk. Oxford University Press.

International Football Association Board (IFAB). (s.f.). VAR protocol. https://www.theifab.com/es/laws/latest/video-assistant-referee-var-protocol/

Petersen-Wagner, R. y Lee Ludvigsen, J.A. (2023). The video assistant referee (VAR) as neo-coloniality of power? Fan negative reactions to VAR in the 2018 FIFA Men’s World Cup, Sport in Society, (26)5, 869-883. Doi: 10.1080/17430437.2022.2070481

Scientific Working Group on Digital Evidence (SWGDE). (2020). Best practices for digital forensic video analysis. https://www.swgde.org/wp-content/uploads/2024/04/2024-03-22-SWGDE-Best-Practices-for-Digital-Forensic-Video-Analysis-18-V-001-1.1.pdf

Sontag, S. (2003). Regarding the pain of others. Farrar, Straus, and Giroux.

Spitz, J.; Wagemans, J.; Memmert, D.; Williams, A.M. y Helsen, W. F. (2021). Video assistant referees (VAR): The impact of technology on decision making in association football referees. Journal of Sports Sciences, 39(2), 147–153. https://doi.org/10.1080/02640414.2020.1809163

Transparency International (2016). Global Corruption Report: Sport. https://files.transparencycdn.org/images/2016_GCRSport_EN.pdf

United Nations Office on Drugs and Crime (UNODC). (2019). E4J university module series: Cybercrime – Module 4: Digital Evidence. https://www.unodc.org/e4j/en/cybercrime/module-4/key-issues/digital-evidence.html

Zhang, Y., et al. (2022). The effect of the video assistant referee (VAR) on referees’ decisions at FIFA Women’s World Cups. Frontiers in Psychology, 13, 984367. https://doi.org/10.3389/fpsyg.2022.984367