Towards Verified Artificial Intelligence

By Sanjit A. Seshia, Dorsa Sadigh. 2016

211 citations recorded by the source corpus.

Verified artificial intelligence (AI) is the goal of designing AI-based systems that 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.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Software

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Tom Everitt
  2. Shane Legg
  3. Jan Leike
  4. Miljan Martic
  5. Victoria Krakovna
  6. Laurent Orseau
  7. Pedro A. Ortega
  8. Christopher Hahn

In Computational Theory and Mathematics

  1. Tom Everitt
  2. Jan Leike
  3. Shane Legg
  4. Miljan Martic
  5. Pedro A. Ortega
  6. Christopher Hahn
  7. Javier Alonso-Mora
  8. Daniela Rus

In Software

  1. Christopher Hahn
  2. Bernd Finkbeiner
  3. Krzysztof Czarnecki
  4. Markus Norman Rabe
  5. Rick Salay
  6. Frederik Schmitt
  7. Christian Kästner

Citations in the corpus