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Explainable AI for ship navigation raises trust, decreases human error

ScienceDaily
Summary
Nutrition label

79% Informative

Osaka Metropolitan University has developed an explainable AI model for automatic collision avoidance between ships.

New AI model explains the basis for its decisions and the intention behind actions.

It quantifies the collision risk for all vessels in a given area, an important feature as key sea-lanes have become ever more congested.

VR Score

88

Informative language

93

Neutral language

65

Article tone

formal

Language

English

Language complexity

70

Offensive language

not offensive

Hate speech

not hateful

Attention-grabbing headline

not detected

Known propaganda techniques

not detected

Time-value

long-living

External references

no external sources

Source diversity

no sources

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