Reference. Towards Verified Artificial Intelligence

Verified artificial intelligence (AI) is the goal of designing AI-based systems that have strong, ideally provable, assurances of correctness with respect to mathematically-specified requirements. This paper considers Verified AI from a formal methods perspective. We describe five challenges for achieving Verified AI, and five corresponding principles for addressing these challenges.

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Cite as @seshiaVerifiedArtificialIntelligence2020 (helia, typst) · \cite{seshiaVerifiedArtificialIntelligence2020} (LaTeX)
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bibtex · 15 lines
@article{seshiaVerifiedArtificialIntelligence2020,
 title = {Towards {{Verified Artificial Intelligence}}},
 author = {Seshia, Sanjit A. and Sadigh, Dorsa and Sastry, S. Shankar},
 date = {2020-07-23},
 doi = {10.48550/arXiv.1606.08514},
 url = {http://arxiv.org/abs/1606.08514},
 urldate = {2025-02-19},
 keywords = {Computer Science - Artificial Intelligence},
 pubstate = {prepublished},
 langid = {english},
 abstract = {Verified artificial intelligence (AI) is the goal of designing AI-based systems that have strong, ideally provable, assurances of correctness with respect to mathematically-specified requirements. This paper considers Verified AI from a formal methods perspective. We describe five challenges for achieving Verified AI, and five corresponding principles for addressing these challenges.},
 eprintclass = {cs},
 eprinttype = {arXiv},
 eprint = {1606.08514}
}
hayagriva YAML (typst)
yaml · 18 lines
seshiaVerifiedArtificialIntelligence2020:
  type: article
  title: Towards {Verified Artificial Intelligence}
  author:
  - Seshia, Sanjit A.
  - Sadigh, Dorsa
  - Sastry, S. Shankar
  date: 2020-07-23
  url:
    value: http://arxiv.org/abs/1606.08514
    date: 2025-02-19
  serial-number:
    arxiv: '1606.08514'
    doi: 10.48550/arXiv.1606.08514
  language: en-US
  abstract: Verified artificial intelligence (AI) is the goal of designing AI-based systems that have strong, ideally provable, assurances of correctness with respect to mathematically-specified requirements. This paper considers Verified AI from a formal methods perspective. We describe five challenges for achieving Verified AI, and five corresponding principles for addressing these challenges.
  parent:
    type: periodical
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seshiaVerifiedArtificialIntelligence2020 reference entries/refs/seshiaVerifiedArtificialIntelligence2020/seshiaVerifiedArtificialIntelligence2020.hel