インシデントのステータス
CSETv0 分類法のクラス
分類法の詳細Problem Nature
Robustness
Physical System
Software only
Level of Autonomy
Medium
Nature of End User
Amateur
Public Sector Deployment
No
Data Inputs
User posts
CSETv1 分類法のクラス
分類法の詳細Incident Number
84
AI Tangible Harm Level Notes
3.3 - Although there was no tangible harm, the AI was linked to the adverse outcome described in the incident.
Notes (special interest intangible harm)
AI failed to prevent the spread of misinformation
Special Interest Intangible Harm
yes
Date of Incident Year
2019
Date of Incident Month
10
CSETv1_Annotator-1 分類法のクラス
分類法の詳細Incident Number
84
AI Tangible Harm Level Notes
3.3 - Although there was no tangible harm, the AI was linked to the adverse outcome described in the incident.
Special Interest Intangible Harm
yes
Date of Incident Year
2020
Estimated Date
Yes
Multiple AI Interaction
no
CSETv1_Annotator-3 分類法のクラス
分類法の詳細Incident Number
84
AI Tangible Harm Level Notes
there wasn't necessarily a type of harm, just that the AI is failing to fulfill its purpose of completely and accurately filtering out misinformation
Notes (special interest intangible harm)
AI failed to prevent the spread of misinformation
Special Interest Intangible Harm
yes
インシデントレポート
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Something as simple as changing the font of a message or cropping an image can be all it takes to bypass Facebook's defenses against hoaxes and lies.
A new analysis by the international advocacy group Avaaz shines light on why, despite the …
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