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Apple Intelligence Reportedly Notified Users That Luigi Mangione Shot Himself and Benjamin Netanyahu Had Been Arrested

9 news reports Snapshot 7 Sep 2026

In brief

An AI system built and deployed by Apple allegedly harmed The New York Times, Luigi Mangione and 3 others.

Risk domain
Misinformation False or misleading information
Occurred
Coverage
9 reportsDec 2024 - Jan 2025

What happened

Apple Intelligence reportedly sent push notifications falsely claiming that BBC News had reported Luigi Mangione's suicide and that The New York Times had reported Benjamin Netanyahu's arrest. On 1/16/2025, Apple reportedly disabled Apple Intelligence's notification summaries.

Laws that address this harm

Policy angle: Classified under Misinformation (False or misleading information) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.

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 (9)

Titles link to the original publisher; report text is not reproduced here.

  1. Apple Intelligence appears to have falsely claimed that Luigi Mangione shot himself
    mashable.com · Alex Perry
  2. Apple’s AI summary mangled a BBC headline about Luigi Mangione
    theverge.com · Umar Shakir
  3. BBC says it has complained to Apple over AI-generated fake news attributed to broadcaster
    theguardian.com · Agence France-Press, Guardian staff
  4. BBC complains to Apple over misleading shooting headline
    bbc.com · Graham Fraser
  5. ‘Luigi Mangione shoots himself’: Apple’s AI sparks outrage with false BBC alert
    msn.com · TOI World Desk
  6. Apple’s AI Disastrously Rewrote a BBC Headline to Say Luigi Mangione Shot Himself
    gizmodo.com · Thomas Maxwell
  7. Apple Plans to Disable A.I. Features Summarizing News Notifications
    nytimes.com · Tripp Mickle
  8. Apple’s Notifications Summaries Were So Bad It’s Just Turning Them Off
    gizmodo.com · Thomas Maxwell
  9. iOS 18.3 temporarily disables Apple Intelligence notification summaries for select apps, more
    9to5mac.com · Chance Miller

Who was involved

Alleged deployer
Apple
Alleged developer
Apple
Alleged harmed party
The New York Times, Luigi Mangione, Benjamin Netanyahu, Bbc News, Apple Intelligence Users

Classification (MIT AI Risk Repository taxonomy)

Risk domain
Misinformation
Causal entity
AI
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 3.1.

  • Pursuing Consistent Context

    "LLMs have been demonstrated to pursue consistent context [129]–[132], which may lead to erroneous generation when the prefixes contain false information. Typical examples include sycophancy [129], [130], false demonstra...

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Defective Decoding Process

    In general, LLMs employ the Transformer architecture [32] and generate content in an autoregressive manner, where the prediction of the next token is conditioned on the previously generated token sequence. Such a scheme...

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Noisy Training Data

    "Another important source of hallucinations is the noise in training data, which introduces errors in the knowledge stored in model parameters [111]–[113]. Generally, the training data inherently harbors misinformation....

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Hallucinations

    "LLMs generate nonsensical, untruthful, and factual incorrect content"

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Faithfulness Errors

    "The LLM-generated content could contain inaccurate information" which is is not true to the source material or input used

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Factuality Errors

    "The LLM-generated content could contain inaccurate information" which is factually incorrect

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Untruthful Content

    "The LLM-generated content could contain inaccurate information"

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

  • Knowledge Gaps

    "Since the training corpora of LLMs can not contain all possible world knowledge [114]–[119], and it is challenging for LLMs to grasp the long-tail knowledge within their training data [120], [121], LLMs inherently posse...

    Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)

Incidents in the same risk subdomain

All incidents in this subdomain

Other incidents involving Apple

Source record: incident #861 on the AI Incident Database · all 9 reports