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“Limitations on Formal Verification for AI Safety ” by Andrew Dickson

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Manage episode 436425909 series 3364758
Innhold levert av LessWrong. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av LessWrong eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
In the past two years there has been increased interest in formal verification-based approaches to AI safety. Formal verification is a sub-field of computer science that studies how guarantees may be derived by deduction on fully-specified rule-sets and symbol systems. By contrast, the real world is a messy place that can rarely be straightforwardly represented in a reductionist way. In particular, physics, chemistry and biology are all complex sciences which do not have anything like complete symbolic rule sets. Additionally, even if we had such rules for the natural sciences, it would be very difficult for any software system to obtain sufficiently accurate models and data about initial conditions for a prover to succeed in deriving strong guarantees for AI systems operating in the real world.
Practical limitations like these on formal verification have been well-understood for decades to engineers and applied mathematicians building real-world software systems, which makes [...]
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Outline:
(01:23) What do we Mean by Formal Verification for AI Safety?
(12:13) Challenges and Limitations
(37:58) What Can Be Hoped-For?
---
First published:
August 19th, 2024
Source:
https://www.lesswrong.com/posts/B2bg677TaS4cmDPzL/limitations-on-formal-verification-for-ai-safety
---
Narrated by TYPE III AUDIO.
---
Images from the article:
undefinedApple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
  continue reading

340 episoder

Artwork
iconDel
 
Manage episode 436425909 series 3364758
Innhold levert av LessWrong. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av LessWrong eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
In the past two years there has been increased interest in formal verification-based approaches to AI safety. Formal verification is a sub-field of computer science that studies how guarantees may be derived by deduction on fully-specified rule-sets and symbol systems. By contrast, the real world is a messy place that can rarely be straightforwardly represented in a reductionist way. In particular, physics, chemistry and biology are all complex sciences which do not have anything like complete symbolic rule sets. Additionally, even if we had such rules for the natural sciences, it would be very difficult for any software system to obtain sufficiently accurate models and data about initial conditions for a prover to succeed in deriving strong guarantees for AI systems operating in the real world.
Practical limitations like these on formal verification have been well-understood for decades to engineers and applied mathematicians building real-world software systems, which makes [...]
---
Outline:
(01:23) What do we Mean by Formal Verification for AI Safety?
(12:13) Challenges and Limitations
(37:58) What Can Be Hoped-For?
---
First published:
August 19th, 2024
Source:
https://www.lesswrong.com/posts/B2bg677TaS4cmDPzL/limitations-on-formal-verification-for-ai-safety
---
Narrated by TYPE III AUDIO.
---
Images from the article:
undefinedApple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
  continue reading

340 episoder

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