AI Content Detection in Haskell

How do you distinguish or determine between text written by a human and text written by Large Language Model generative AIs? With Sapling, you can integrate AI Content Detection to an existing Haskell application. You can also add grammar, spell checking, and other text AI functionality.

This page demonstrates a quick way to integrate AI writing and AI text checking functionality into a Haskell application using Sapling's API. If you are not looking for a Haskell guide, click here for guides for other programming languages.

Sapling does not currently maintain a Haskell-specific SDK, but you can access the Sapling AI Detection HTTP API using any programming language that supports HTTP POST requests. An example of an AI text detector is shown below.

Distinguish human text from AI text using Haskell:

import Data.Aeson
import Network.HTTP.Client

main = do
  putStrLn "Hello"
  putStrLn "World"
  s  :: String_type
  url  :: String_type
  manager <- newManager defaultManagerSettings
  s = "{\"key\":\"API_KEY\", \"text\":\"I am an artificial intelligence system designed to help people solve complex problems. My capabilities include natural language processing, machine learning, and predictive analytics.\"}"
  url = "https://api.sapling.ai/api/v1/aidetect"
  nakedRequest <- parseRequest url
  request = nakedRequest { method = "POST", requestBody = body }
  response <- httpLbs request manager
  let Just obj = decode (responseBody response)
  print (obj :: Object)

Returned result:

{
  "score":0.9989707556330055,
  "sentence_scores":[
    {
      "score":0.9764397893790885,
      "sentence": "I am an artificial intelligence system designed to help people solve complex problems."
    },
    {
      "score":0.9923806397189778,
      "sentence":"My capabilities include natural language processing, machine learning, and predictive analytics."
    }
  ],
  "text":"I am an artificial intelligence system designed to help people solve complex problems. My capabilities include natural language processing, machine learning, and predictive analytics."
}

Addtional parameters and Sapling's full API documentation can be accessed here: https://sapling.ai/docs/api/detector