Situated Knowledge: Epistemology, Spatial Metaphors, and Objectivity

Epistemic injustice, as proposed by British philosopher Miranda Fricker, refers to the unfair undermining of someone's ability to know or communicate. It manifests in two forms: testimonial injustice, where speakers are given low credibility due to identity-based prejudice (e.g., a police officer dismissing a Black man's testimony based on racial bias), and interpretive injustice, where socially disadvantaged groups lack the conceptual resources to articulate their experiences (e.g., mothers' suffering being dismissed as personal inadequacy before the concept of postpartum depression existed). Fricker argues that overcoming these injustices requires epistemic virtue—trained habits that enable listeners to recognize and filter out their own unconscious biases, thereby respecting others' basic dignity as ethical beings.

A skeptical challenge to epistemic injustice is that we cannot prove our concepts adequately capture reality. We can imagine alternative worlds where different conceptual frameworks would be equally valid. However, this skepticism is mitigated by the connection between social and cultural conditions and epistemic resources. What constitutes epistemic justice for one society may not apply to another, and imposing one society's conceptual schemes on another can itself constitute injustice.

Epistemic injustice occurs when victims of narcissistic abuse are systematically disbelieved, ridiculed, and invalidated by individuals or society, causing epistemic injury that undermines their capacity to know and trust their own reality; this manifests through testimonial injustice (prejudiced disbelief based on identity stereotypes) and hermeneutical injustice (structural exclusion from shared interpretive resources), ultimately re-engineering victims' identities and preventing personal identity formation.

In radicalized communities like QAnon, when confronted with real victims, members throw out victim-blaming rhetoric. These communities focus on whether victims are the 'right type of person' rather than the actual facts of crimes. This creates a system where certain groups (trans people, queer people, women) are associated with crimes, while those in positions of power (often white men) are protected from accountability. Epistemic injustice is a specific kind of harm that attaches to what people say and harms their capacity as knowers. Testimonial injustice occurs when people from certain groups are inherently disbelieved or ignored, which applies to women who speak out and are systematically dismissed regardless of their testimony's validity.

Decolonizing methodologies is an approach to research that challenges the colonial foundations of academic research by recognizing indigenous knowledge systems, prioritizing community relationships over individual gain, and reframing research as a tool for indigenous self-determination rather than exploitation; this approach emphasizes that research must be conducted with permission, for the benefit of the researched community, and within frameworks that honor indigenous epistemologies and cultural protocols.

Decolonizing methodologies expose how Eurocentric research approaches have harmed marginalized communities, but this approach risks centering Eurocentrism in the very act of critique. Affirming methodologies instead focus on validating one's own ways of knowing without needing to justify their value against Western standards. Rather than endlessly trying to decolonize existing systems, affirming methodologies recognize the inherent worth of indigenous and local knowledge practices and work from that foundation of self-validation.

Western research methodologies are inherently Eurocentric and have historically been used as tools of colonial domination to dispossess Indigenous peoples of their lands, cultures, and ways of knowing; decolonizing methodologies requires researchers to acknowledge their own positionality, collaborate with Indigenous communities, prioritize Indigenous voices and perspectives, and recognize the validity of Indigenous research methodologies rooted in oral traditions and community-based approaches.

Decolonizing methodologies, anti-colonialism, critical race theory, and critical queer theory argue that Western ontology and epistemology should be 'provincialized' - recognized as one perspective among many while continuing to have governing force in scale and circulation. This approach doesn't eliminate Western knowledge but understands it as a particular way of thinking that shapes how other spaces think, embody, sense, and create form. The goal is to understand collectivity not in a pluralistic, floaty way but as specific forms reflecting particular spaces within systems of knotted extraction, deformation, and maintenance.

Research with indigenous peoples is inherently linked to European imperialism and colonialism, functioning as a mechanism that steals indigenous ways of knowing, imagery, and identity while denying indigenous communities opportunities to be creators of their own culture and nations; therefore, ethical research must be conducted as a collaborative, culturally-sensitive relationship where indigenous communities direct the research process, ownership, and dissemination of knowledge rather than being passive subjects of study.

Critical cartography is not merely a political orientation toward map critique but involves deeper epistemological commitments that distinguish it from conventional cartographic practice; however, despite theoretical calls for integration since the early 2000s, there remains significant fragmentation between critical cartographers and other mapping traditions, suggesting that shared ontological ground and collaborative opportunities exist but require explicit recognition and development of common practices beyond just topic selection.

Critical cartography is a new materialist methodology that recognizes maps as inherently power-laden tools that do not simply reflect existing realities but actively create and destroy worlds; this approach, grounded in Haraway's situated knowledges and Deleuze's rhizomatic thinking, emphasizes that knowledge production is always embodied, contextual, and politically situated, requiring researchers to acknowledge their own geopolitical positionality while embracing multiple perspectives to avoid oppressive totalizations.

Effective urban research requires spatial ethnography—field surveying combined with interviewing, participant observation, and talking to people—to understand actual spatial practices. Traditional planning visualization focusing on building edges fails to capture fine-grained activity patterns of sidewalks and streets. Research revealed that brief observations missed complex dynamics; hourly surveys from 5 AM to 10 PM revealed spatial regimes changing hands multiple times daily through negotiated settlements. Cartographic history has served state and imperial ambitions, legitimizing territorial claims. Critical cartography examines who creates maps and whose perspectives are privileged. In Hoian City, sidewalks support 30% of residents' livelihoods through informal vending and social life. Property regimes vary by neighborhood, with local ward governments painting lines to delineate space for different users. Subversive strategies can use international tourists to legitimize local practices that authorities might suppress, integrating vendors into pedestrianized areas rather than separating tourists from communities.

Traditional epistemology employs spatially linear arrangements of knowledge built upon sequential negation, classifying knowledge hierarchically and assuming progressive development. Feminist and new materialist scholars have moved toward cartography—a horizontal mapping approach where knowledge, theory, and epistemology are no longer strictly distinguished but become multiplicities. This situated approach (in the style of Donna Haraway) requires accounting for location in both geopolitical/ecological and historical/genealogical dimensions, providing alternative figurations of power as both restrictive and empowering. This cartographic approach represents one of the most important critical and creative responses to neoliberal corporatization of academia, though it finds itself caught up in its own acceleration as embodied and embedded cartographers must deal with encoded images and extended cognition.

Traditional cartography serves state and extractive power by representing territories as empty spaces for colonization and resource extraction. These maps configure spaces for military and extractive projects while failing to capture human relationships, power dynamics, conflicts, and territorial histories. Critical cartography provides an alternative by revealing the relationships, power dynamics, and conflicts that exist in territories. Unlike cartography serving state power, critical cartography aims to observe and document diverse spatial relationships, universes, and forms of habitation that challenge dominant territorial narratives and support social resistance.

AI systems exhibit algorithmic bias because they are created by humans and may contain errors. According to CEPAL data, 7 out of 10 AI workers are men, leading to potential bias affecting vulnerable populations. In research, epistemological bias occurs when researchers don't use critical thinking to evaluate AI information, potentially constructing false or absurd research processes. The key is using AI with measured, discriminating intent.

AI is a human product susceptible to the failures and prejudices of its creators. The AI systems used today are primarily developed by companies in the global North, with leadership predominantly composed of white men who decide which knowledge is considered important and which gets discarded. Facial recognition systems present false positives, particularly for Black people, because training data comes from surveillance cameras and police files that historically contain disproportionate numbers of Black faces due to policing practices. Epistemicide refers to the ways in which knowledge produced by Black people is continuously denied, silenced, and destroyed. Valid knowledge grants power to those who produce it. When AI algorithms are trained with data centered on Eurocentric epistemologies, they reproduce epistemicide on a massive scale. Before abolition, Black people resisted through literature, and this resistance continues in digital environments.

Social epistemology reveals that knowledge production is fundamentally social rather than purely individual, and algorithmic profiling can exacerbate epistemic injustices by creating fragmented experiences where individuals cannot recognize or communicate about injustices affecting them, particularly through testimonial injustice (deflated credibility due to prejudice) and hermeneutical injustice (lack of collective interpretive resources to make sense of experiences).

Algorithmic fairness, despite being the dominant AI ethics framework since the deep learning revolution, fundamentally fails as a metamodeling approach because it cannot distinguish between legitimate patterns and biased ones in socially sensitive applications; this failure stems from four key confounds—selection bias, proxy label bias, causal overdetermination, and incoherent proxy labels—that render fairness metrics ineffective in typical deployment contexts, thereby demonstrating that applied ethical frameworks must be epistemically responsive to their specific application contexts and require domain expertise rather than serving as replacements for social science.

The rapid development of artificial intelligence and digital culture is challenging traditional epistemological frameworks. AI systems process and interpret reality through algorithms and code rather than through direct human perception. This raises questions about whether AI can truly 'know' or merely process information. The shift from textual language to coding as the primary medium of knowledge representation also affects how we understand truth and understanding. Epistemology must now consider how machine-mediated perception and algorithmic reasoning affect our understanding of reality.