| Recurring |
one_organization, multiple_organization |
(a) The software failure incident of YouTube's AI mistakenly flagging chess content as hate speech has happened within the same organization before. In the incident involving popular chess YouTuber Antonio Radic, his channel was blocked for discussing 'black versus white' in a chess conversation, which triggered YouTube's AI filters [Article 111338]. This incident showcases a case where YouTube's AI misinterpreted chess-related language as racist, leading to the blocking of the channel.
(b) The incident involving YouTube's AI misinterpreting chess-related content as hate speech could potentially happen at other organizations or platforms that use similar AI algorithms to detect prohibited content. The researchers at Carnegie Mellon suggested that social media platforms should incorporate chess language into their algorithms to prevent such confusion in the future [Article 111338]. This implies that other platforms utilizing AI for content moderation may face similar challenges if their algorithms are not trained to understand context-specific language like that used in chess discussions. |
| Phase (Design/Operation) |
design |
(a) The software failure incident in the article can be attributed to the design phase. The incident occurred due to contributing factors introduced by the system development and the AI algorithms used by YouTube. The AI algorithms, which were trained to detect hate speech, lacked examples related to chess language, leading to the misclassification of benign videos discussing terms like 'black,' 'white,' 'attack,' and 'threat' as harmful content [111338]. This highlights a design flaw in the AI algorithms used by YouTube, as they were not adequately trained to understand the context of chess-related discussions, resulting in the erroneous blocking of the YouTuber's channel.
(b) The software failure incident is not directly linked to the operation phase or misuse of the system. The incident primarily stemmed from the misinterpretation of chess-related language by YouTube's AI algorithms during the content moderation process, rather than any operational issues or misuse of the system by the YouTuber [111338]. |
| Boundary (Internal/External) |
within_system |
(a) within_system: The software failure incident involving YouTube's AI mistakenly flagging chess videos for hate speech was primarily due to contributing factors that originated from within the system. The incident occurred because the AI algorithms used by YouTube were not properly trained to understand the context of chess-related language, leading to the incorrect flagging of benign videos [111338]. The failure was a result of the limitations of the AI software and the lack of appropriate examples in the training data sets for YouTube's classifiers, which caused the algorithms to misclassify chess-related terms like 'black,' 'white,' 'attack,' and 'threat' as hate speech triggers [111338]. This highlights an internal issue within the system's design and training of the AI algorithms, leading to the unintended consequences of blocking legitimate content. |
| Nature (Human/Non-human) |
non-human_actions, human_actions |
(a) The software failure incident in the article was primarily due to non-human actions. YouTube's AI algorithms mistakenly flagged chess videos for hate speech based on terms like 'black,' 'white,' 'attack,' and 'threat' used in the context of chess discussions [111338]. The incident occurred because the AI filters were not properly trained to understand the specific context of chess language, leading to the erroneous blocking of the YouTuber's channel.
(b) Human actions also played a role in the incident as the YouTuber, Antonio Radic, speculated that his use of the phrase 'black against white' in a chess conversation triggered the AI filters, leading to the blockage of his channel [111338]. Additionally, human moderators and developers at YouTube are responsible for setting up and training the AI algorithms that determine what content is flagged as harmful or dangerous. |
| Dimension (Hardware/Software) |
software |
(a) The software failure incident reported in the article was not due to hardware issues but rather due to contributing factors originating in software. The incident involved YouTube's AI mistakenly flagging chess videos for hate speech based on terms like 'black,' 'white,' 'attack,' and 'threat' used in the context of chess discussions [111338]. The issue was attributed to the AI algorithms not being trained with examples of chess language, leading to misclassification of benign content as harmful and dangerous. |
| Objective (Malicious/Non-malicious) |
non-malicious |
(a) The software failure incident reported in the article is non-malicious. The incident occurred due to YouTube's AI mistakenly flagging chess-related content as 'harmful and dangerous' without any malicious intent. The failure was attributed to the AI algorithms being triggered by terms like 'black,' 'white,' 'attack,' and 'threat' used in the context of a chess conversation, leading to the blocking of the YouTuber's channel [111338]. The incident highlights the unintended consequences of using AI algorithms that lack proper context or training data, rather than any deliberate attempt to harm the system. |
| Intent (Poor/Accidental Decisions) |
accidental_decisions |
(a) The intent of the software failure incident:
The software failure incident involving YouTube's AI mistakenly flagging chess videos for hate speech was more aligned with accidental_decisions. The incident occurred due to unintended consequences of the AI algorithms not being properly trained to understand the context of chess-related language, leading to the erroneous blocking of channels like that of chess YouTuber Antonio Radic [111338]. The failure was not a result of deliberate poor decisions but rather a lack of appropriate training data for the AI classifiers, causing them to misinterpret chess terminology as hate speech. |
| Capability (Incompetence/Accidental) |
development_incompetence |
(a) The software failure incident in the article was related to development incompetence. YouTube's AI mistakenly flagged popular chess YouTuber Antonio Radic's channel for discussing 'black versus white' in a chess conversation, leading to the blockage of his channel for including 'harmful and dangerous' content [Article 111338]. Computer scientists at Carnegie Mellon suspected that the AI filters were triggered accidentally by Radic's discussion of 'black vs. white' with a grandmaster, as the AI algorithms lacked examples of chess language in their training data sets, leading to misclassification [Article 111338].
(b) The software failure incident was accidental, as Radic's use of the phrase 'black against white' in a chess conversation triggered YouTube's AI filters unintentionally, resulting in the blockage of his channel for 24 hours [Article 111338]. The incident was not intentional but rather a consequence of the AI algorithms not being fed the right examples to provide context, causing them to flag benign videos that included terms like 'black,' 'white,' 'attack,' and 'threat' [Article 111338]. |
| Duration |
temporary |
The software failure incident reported in the articles was temporary. YouTube's AI mistakenly flagged popular chess YouTuber Antonio Radic's channel for 'harmful and dangerous' content, leading to its blockage. However, the service was restored 24 hours later after Radic speculated that his discussion of 'black versus white' in a chess conversation triggered the AI filters. This incident highlights a temporary failure caused by specific circumstances rather than a permanent failure [Article 111338]. |
| Behaviour |
crash, omission, other |
(a) crash: The software failure incident in the article can be categorized as a crash. YouTube's AI mistakenly flagged popular chess YouTuber Antonio Radic's channel for 'harmful and dangerous' content, leading to the blockage of his channel [Article 111338]. This blockage can be seen as a system crash where the system (YouTube's AI) lost its state and did not perform its intended function of correctly identifying harmful content.
(b) omission: The incident can also be related to omission. YouTube's AI failed to provide a clear explanation for blocking Radic's channel, leaving him in the dark about the reason for the blockage [Article 111338]. This omission of information about the decision-making process can be considered a failure of the system to perform its intended function of transparently communicating with content creators.
(c) timing: There is no specific indication in the article that the software failure incident was related to timing issues.
(d) value: The incident does not directly relate to the system performing its intended functions incorrectly.
(e) byzantine: The incident does not exhibit characteristics of a byzantine failure where the system behaves erroneously with inconsistent responses and interactions.
(f) other: The other behavior exhibited in this software failure incident is the misinterpretation of content by the AI algorithms. The AI mistakenly flagged Radic's chess videos for hate speech due to the presence of terms like 'black,' 'white,' 'attack,' and 'threat' in the context of a chess conversation, leading to the blockage of his channel [Article 111338]. This misinterpretation can be considered a unique behavior not covered by the other options. |