Showing 1–12 of 64 articles
Algorithms and networks: start with the outcome we want
Technical transparency is insufficient if we ignore real-world effects. We must assess the impact, appeal mechanisms, and the capacity for choice of those affected by each algorithmic decision.
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Algorithms and Networks: The Pending Conversation
Network research requires access without opening doors to abuse. Privacy is invoked as a general shield, failing to distinguish commercial surveillance from protected research.
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A place, a score, and the chance to explain the context
An automated selection can overlook what its form never asked. An imaginary workshop helps us explore explanations, reconsideration, and the responsibility that remains when a screen ranks applications and somebody must decide who gets a place.
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Algorithms and networks: the cultural problem of metrics
Organizational culture fails when a metric becomes the sole objective. This generates predictable behaviors that are then incorrectly attributed to the technical tool.
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Algorithms and Networks: Non-Delegable Responsibility
Authority retains formal decision-making but loses the ability to correct. We analyze how to turn ethical principles into observable practices and prevent technical design from overriding human judgment.
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Unequal infrastructure: The hidden bias in innovation
Digital innovation is often validated where it works best and then imposed as universal. We explore how unequal infrastructure distorts the algorithmic future and which practices can correct these asymmetries of power and access.
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The inequality that travels within the system: Algorithms and networks
Algorithms also speak with an accent. The lack of examples and reviewers turned a language into a less protected space.
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What we lose when everything is automated
Automatic moderation fails at the edges by ignoring purpose. It detects visual elements but fails to distinguish journalistic, educational, or evidentiary use, losing the essential context of each action.
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Algorithms and networks: The unresolved human element
The human dimension of the creator does not fit into a control panel. Algorithmic uncertainty has transformed a distribution tool into a constant source of work anxiety, demanding new forms of accountability.
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Speed vs. progress: The hidden debt of networks
Rapid experimentation shifts costs to millions. The trial measured immediate benefit, excluding fatigue, trust, and actual abandonment.
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Algorithms and Power: The Trap of Formal Choice
Platform power lies in its interfaces. Although contractual choice appears free, economic dependence often empties the real capacity to negotiate.
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Algorithms and Networks: The Blurred Line Between Public and Private
The distinction between public and private is not static; it depends on scope and context. Simply seeing information does not justify its massive indexing or redistribution. We analyze how algorithms redefine these boundaries and what ethical responsibility this new digital landscape entails, prioritizing transparency and human judgment over mere technical capacity.
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