The Role of AI in Mental Health

  • AI has transformed how financial institutions manage the risk of investments, and decisions to provide credit to someone or not.
  • AI has transformed manufacturing by predicting when mechanical parts may fail or predicting forecasts based on ever-changing global environments.
  • AI has transformed eCommerce by predicting customer purchasing decisions and understanding the customer intent by analyzing a multitude of data about the customer.
  • AI has improved how WiFi networks can be explained/managed, for example, by predicting what would be the result of the Speed Test if a device on the network performed this test, at any given time.
  • The accuracy of an AI system to assess the risk of extending credit to someone can be measured by whether the person defaulted on the credit or not (binary)
  • The accuracy of an AI system to predict mechanical part failures can be measured by whether the part fails after some time or not (binary)
  • The accuracy of an AI system to predict whether a customer will purchase a product or not can be measured by the purchase decision (binary)
  • Transcription software accuracy can be measured by someone who reads the transcription and listens to the recording (binary)
  • The accuracy of speed test prediction can be measured against an actual speed test

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