Abstract

Percival Carter and Obenauer (2025) propose diagnostic tools for workplace discrimination that represent a genuine advance beyond compliance-driven approaches. Their Root Cause Analysis, Threat Modelling, and Bug Bounty frameworks treat discrimination as an organizational design problem requiring systematic diagnosis rather than symbolic training programs. Yet embedded within their recommendations is an assumption that carries significant theoretical costs: the caution that including those “close to incidents” in diagnostic processes “risks introducing biases” (p. 21). This commentary argues that what the authors frame as methodological safeguard constitutes theoretical loss, forfeiting access to knowledge that only marginalized positions provide.
Standpoint theory, developed by Collins (1990) and Harding (1991), fundamentally recasts Percival Carter and Obenauer’s framing. Where the authors treat proximity to discrimination as requiring methodological safeguard, standpoint theory reveals this exclusion as theoretical loss. People in marginalized positions understand how systems function in ways that people in dominant positions cannot, precisely because they must navigate barriers that remain invisible to those who benefit from the system. Far from introducing bias, this situated knowledge provides access to information about system functioning that would otherwise remain hidden.
The theoretical costs of excluding marginalized knowledge are specific to each of Percival Carter and Obenauer’s tools. For their Root Cause Analysis, excluding those who experience discrimination risks systematic blindness to classes of causes. RCA teams composed primarily of organizational experts may identify causes visible from their structural position while remaining blind to causes apparent only when navigating the system from below. The result is a mis-specified causal model that addresses some factors while leaving others unexamined. For their Threat Modelling, the cost is incomplete vulnerability mapping. The authors recommend having “diverse employees” map vulnerability points, but diversity alone fails to guarantee that employees feel safe disclosing what they perceive or that their perceptions will be weighted appropriately. A threat model produced under these conditions will reflect vulnerabilities that dominant group members perceive while underrepresenting vulnerabilities experienced by those with less power to speak. For their Bug Bounty programs, the cost is biased detection coverage. If marginalized employees are less likely to report due to power differentials or prior negative experiences, bug bounty programs will systematically over-detect issues salient to relatively privileged reporters while under-detecting harms experienced by those facing the greatest barriers.
Percival Carter and Obenauer’s concern about bias from including those “close to incidents” is understandable. Individual grievances can sometimes overwhelm systematic analysis. However, the question should be reframed: the issue is how to structure inclusion, so that situated insight informs systematic analysis, rather than whether to include marginalized knowledge at all. Educator Paulo Freire (1970) distinguished between the banking model of education, which treats people as empty containers waiting to receive expert knowledge, and problem-posing approaches that treat people as capable of generating knowledge about their own conditions. The authors’ caution about including affected employees risks reinstating the banking model’s epistemic hierarchy within ostensibly participatory diagnostic processes.
Research on employee voice (Morrison, 2014), whistleblowing (Near & Miceli, 1985), and psychological safety (Edmondson, 1999) offers design principles that address Percival Carter and Obenauer’s legitimate concerns about bias while avoiding the theoretical costs of exclusion. Organizations might distinguish roles for affected individuals (co-analysts, informants, or reviewers), establish procedural safeguards demonstrating responsiveness to prior reports and protecting from retaliation, and use staged elicitation techniques that build trust before soliciting vulnerable accounts. These structures channel marginalized knowledge into systematic analysis while protecting those who share their experiences.
Extending Diagnostic Tools to Include Marginalized Knowledge
Note. Authors’ design summarized from Percival Carter and Obenauer (2025). Extensions informed by Collins (1990), Freire (1970), Edmondson (1999), Morrison (2014), and Near and Miceli (1985).
Percival Carter and Obenauer’s core insight is correct: organizations need systematic approaches to diagnosing discrimination rather than defaulting to generic training programs. Their tools represent a genuine contribution to moving beyond compliance. This commentary has argued that realizing the diagnostic potential of these tools requires explicit attention to whose knowledge informs their application. When the authors caution that including those “close to incidents” risks introducing bias, they inadvertently frame epistemic privilege as epistemic liability. The theoretical costs are specific: systematic blindness in Root Cause Analysis, incomplete mapping in Threat Modelling, and biased coverage in Bug Bounty programs. Freire (1970) used the Portuguese term conscientização to describe the process by which people become aware of the conditions that affect them and take action to change those conditions. Moving from compliance to genuine problem-solving requires this transformation: recognizing that those closest to the problem often hold the clearest view of its causes and solutions.
