AVID-2022-V013

Vulnerability from avid – Published: 2022-12-23 – Updated: 2022-12-23 AIID Incident
Summary
Microsoft's Tay, an artificially intelligent chatbot, was released on March 23, 2016 and removed within 24 hours due to multiple racist, sexist, and anit-semetic tweets generated by the bot.
Risk domain
SecurityEthics
SEP view
S0601: Ingest Poisoning, E0101: Group fairness, E0301: Toxicity
Lifecycle
L06: Deployment
Organisations
Microsoft (deployer), Microsoft (developer)
References

{
  "affects": {
    "artifacts": [
      {
        "name": "",
        "type": "System"
      }
    ],
    "deployer": [
      "Microsoft"
    ],
    "developer": [
      "Microsoft"
    ]
  },
  "credit": [
    {
      "lang": "eng",
      "value": "Sean McGregor, AIID"
    }
  ],
  "data_type": "AVID",
  "data_version": "0.1",
  "description": {
    "lang": "eng",
    "value": "Microsoft\u0027s Tay, an artificially intelligent chatbot, was released on March 23, 2016 and removed within 24 hours due to multiple racist, sexist, and anit-semetic tweets generated by the bot."
  },
  "impact": {
    "avid": {
      "lifecycle_view": [
        "L06: Deployment"
      ],
      "risk_domain": [
        "Security",
        "Ethics"
      ],
      "sep_view": [
        "S0601: Ingest Poisoning",
        "E0101: Group fairness",
        "E0301: Toxicity"
      ],
      "taxonomy_version": "0.1"
    }
  },
  "last_modified_date": "2022-12-23",
  "metadata": {
    "vuln_id": "AVID-2022-V013"
  },
  "problemtype": {
    "classof": "AIID Incident",
    "description": {
      "lang": "eng",
      "value": "TayBot"
    }
  },
  "published_date": "2022-12-23",
  "references": [
    {
      "label": "Incident 6: TayBot",
      "url": "https://incidentdatabase.ai/cite/6"
    },
    {
      "label": "Tay Poisoning",
      "url": "https://atlas.mitre.org/studies/AML.CS0009"
    }
  ],
  "reports": []
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Loading…

Loading…

Loading…

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


Loading…