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police interventionMIT News
•84% Informative
A new study from MIT and Penn State University reveals that if large language models were to be used in home surveillance, they could recommend calling the police even when surveillance videos show no criminal activity.
In addition, the models the researchers studied were inconsistent in which videos they flagged for police intervention.
The research will be presented at the AAAI Conference on AI , Ethics , and Society .
Models were more likely to use terms like “delivery workers” in majority white neighborhoods.
Skin tone of people in videos did not play a significant role in whether a model recommended calling police.
Researchers hypothesize this is because the machine-learning research community has focused on mitigating skin-tone bias.
VR Score
92
Informative language
96
Neutral language
60
Article tone
informal
Language
English
Language complexity
57
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
1
Source diversity
1
Affiliate links
no affiliate links