Showing 37–48 of 86 articles
Fraud that crosses organizational boundaries
An attacker exploits organizational boundaries while victims receive isolated responses. Effective defense requires coordination, shared evidence, and genuine human oversight.
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Digital fraud: when conversation feels credible
AI makes it easy to personalize fraudulent context, yet it does not remove signals of broken procedure. We analyze how to protect trust without relying on human heroism, measuring the real impact of these tools on our daily decisions.
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Digital fraud that simulates humanity
Fraudsters now use borrowed faces and voices. Audiovisual appearance reduces doubt, yet urgency and exclusivity prevent the verification needed to act with sound judgment.
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Cloned voices: when trust can be imitated
A familiar voice no longer proves identity. Accessible cloning exploits trust and haste, a family's natural defenses, to alter concrete decisions and dependencies.
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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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