AI incident ·
McDonald's McHire AI Recruitment Platform Reportedly Exposed Data of 64 Million Applicants via Default Login and API Vulnerability
In brief
An AI system built and deployed by Paradox.Ai and Mcdonald'S allegedly harmed Privacy, Mcdonald'S Applicants and 1 other.
- Risk domain
- Privacy & Security
- Occurred
- Coverage
- 2 reports
What happened
Researchers Ian Carroll and Sam Curry reported that McDonald's AI-powered hiring tool, McHire (using Paradox.ai's "Olivia" chatbot), could purportedly be accessed via default admin credentials and an insecure direct object reference in an internal API. The flaws allegedly allowed viewing of applicants' personally identifiable information and chat histories. McDonald's and Paradox reportedly patched the issues within a day of disclosure; Paradox stated only five records were accessed.
Laws that address this harm
Policy angle: Classified under Privacy & Security (Compromise of privacy by obtaining, leaking or correctly inferring sensitive information) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.
- Colorado AI Act
- India DPDP Act
- Law No. 132/2025 on artificial intelligence
- EU AI Act
- Texas Responsible AI Governance Act (TRAIGA)
Matched from the record's risk domain and country to the instruments recorded here. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).
News reports (2)
Titles link to the original publisher; report text is not reproduced here.
Who was involved
- Alleged deployer
- Paradox.Ai, Mcdonald'S
- Alleged developer
- Paradox.Ai, Mcdonald'S
- Alleged harmed party
- Privacy, Mcdonald'S Applicants, Job Applicants
Classification (MIT AI Risk Repository taxonomy)
- Risk domain
- Privacy & Security
- Risk subdomain
- 2.1 Compromise of privacy by obtaining, leaking or correctly inferring sensitive information
- Causal entity
- Human
- Intent
- Unintentional
- Timing
- Post-deployment
- Harm level
- —
- Sectors
- —
- Countries
- —
Risk entries describing this failure mode
Entries from the MIT AI Risk Repository coded to subdomain 2.1.
- Risks to privacy
"General- purpose AI models or systems can ‘leak’ information about individuals whose data was used in training. For future models trained on sensitive personal data like health or financial data, this may lead to partic...
- Risks to privacy
"General- purpose AI systems can cause or contribute to violations of user privacy. Violations can occur inadvertently during the training or usage of AI systems, for example through unauthorised processing of personal d...
- Private Training Data
"As recent LLMs continue to incorporate licensed, created, and publicly available data sources in their corpora, the potential to mix private data in the training corpora is significantly increased. The misused private d...
- Association in LLMs
"Association in LLMs refers to the capability to associate various pieces of information related to a person. According to [68], [86], given a pair of PII entities (xi , xj ), which is associated by a model F. Using a pr...
- Privacy Leakage
"Privacy Leakage means the generated content includes sensitive personal information"
- Memorization in LLMs
"Memorization in LLMs refers to the capability to recover the training data with contextual prefixes. According to [88]–[90], given a PII entity x, which is memorized by a model F. Using a prompt p could force the model...
- Privacy Leakage
"The model is trained with personal data in the corpus and unintentionally exposing them during the conversation."
- Privacy and regulation violations
"Some of the broken systems discussed above are also very invasive of people’s privacy, controlling, for instance, the length of someone’s last romantic relationship [51]. More recently, ChatGPT was banned in Italy over...
Incidents in the same risk subdomain
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- Perplexity AI Reportedly Accused in Federal Lawsuit of Purported Copyright Infringement and False Attribution of Chicago Tribune Content
- Secret Desires AI Platform Reportedly Exposed Nearly Two Million Sensitive Images in Cloud Storage Leak
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Source record: incident #1179 on the AI Incident Database · all 2 reports