# Transparency **Domain:** governance, organizational management, ethics **Doc Type:** Concept Node **Classification:** Infrastructure Concept **Maturity:** established normative value, contested implementation **Related:** [[Accountability]], [[Openness]], [[Information Access]], [[Decision Visibility]], [[wiki/Information Asymmetry|Information Asymmetry]], [[wiki/Surveillance|Surveillance]], [[Democratic Governance]] --- ## Definition **Transparency** refers to **the practice of making decisions, decision-making processes, and their justifications visible and comprehensible to those affected**. Transparency has become central governance value premised on belief that visible decisions are more likely to be legitimate, accountable, and effective than hidden decisions. However, transparency is contested—transparency can serve accountability (making hidden abuse visible) or propaganda (controlling information narrative), and transparent surveillance can enable control as easily as accountability. --- ## General Context Transparency has emerged as a major governance principle in development policy, anti-corruption initiatives, and institutional accountability. Its premise is that visibility can make authority more answerable. Visibility alone does not equal practical knowledge: records can be public while remaining unusable because of scale, technical complexity, latency or lack of standing. Transparency therefore changes the distribution of [[wiki/Information Asymmetry|information asymmetry]]; it does not restore an imagined condition without surveillance or guarantee equal power. --- ## Governance Context Transparency supports accountability when authority, provenance, objectives, actions and outcomes become legible to those affected. One-directional visibility gives the observer a larger model gap; reciprocal visibility lets the observed inspect more of the loop through which observations become decisions. --- ## Computational Governance Context Computational systems should have transparent decision-making processes, enabling understanding of how algorithms reach conclusions. This requires explanation capacity and access to models, training data, and decision logic. --- ## Reparative Justice Context Reparative justice systems require transparency about resource allocation, remedial spending, and verification that systems operate according to stated principles. Symmetric transparency ensures populations can monitor implementation. --- ## Key Insight **Transparency does not end surveillance. It determines whether the observer's authority and actions remain inside the field of observation, and whether disclosed information can actually be converted into correction or consequence.** --- ## See Also [[Symmetric Transparency]], [[Accountability Mechanisms]], [[Information Access]], [[Governance Frameworks]], [[Democratic Participation]] ## Simple Reminders, Quotations, and Thoughts > "Trouble arrives as soon as any of the machine's customers, managers, or assistants start asking a few simple questions." > **— Jon Kleinberg and Sendhil Mullainathan**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/We Built Machines We Cannot Explain by Jon Kleinberg and Sendhil Mullainathan|We Built Machines We Cannot Explain by Jon Kleinberg and Sendhil Mullainathan]]