System Safety in Healthcare

Application of AI on System Safety

Authors

  • Dev Raheja

DOI:

https://doi.org/10.56094/jss.v57i1.3

Keywords:

healthcare, AI, medicine

Abstract

The purpose of system safety is to prevent bad things from happening. Lately, systems have been using artificial intelligence (AI), and verification and validation is becoming a major challenge. First, we have to understand the four main types of AI, in addition to much-less-used methods on the web. The main types of AI are:

  • Reactive Machines
  • Limited Memory
  • Theory of Mind
  • Self-aware 

References

Simplilearn. "Artificial Intelligence Tutorial | AI Tutorial for Beginners | Artificial Intelligence | Simplilearn," https://www.youtube.com/watch?v=FWOZmmIUqHg.

Johnson, Jonathan. "4 Types of Artificial Intelligence," Machine Learning & Big Data Blog, https://www.bmc.com/blogs/artificial-intelligence-types.

Blache, Klaus M. "AI and Reliability: How Much, How Fast?" Efficient Plant, November 14, 2017, https://www.efficientplantmag.com/2017/11/ai-reliability-much-fast/.

Bastani Farokh, Chen Ing-Ray. "Assessment Of The Reliability Of AI Programs," International Journal on Artificial Intelligence Tools, Vol. 2, No. 2, https://doi.org/10.1142/S0218213093000138 DOI: https://doi.org/10.1142/S0218213093000138

Healthcare

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Published

2021-10-01

How to Cite

Raheja, D. (2021). System Safety in Healthcare: Application of AI on System Safety. Journal of System Safety, 57(1), 4–5. https://doi.org/10.56094/jss.v57i1.3

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