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Artificial intelligence, invisible victims and the trolley problem.

Jacob M Appel1

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Summary
This summary is machine-generated.

Artificial intelligence can improve healthcare resource allocation by making better predictions and identifying optimal choices. This technology aims to reveal the impact on all individuals, addressing the ethical challenges of resource distribution.

Keywords:
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Area of Science:

  • Healthcare policy
  • Medical ethics
  • Artificial intelligence

Background:

  • Healthcare resource allocation involves difficult trade-offs between visible and invisible victims.
  • Current decision-making relies on speculative predictions due to the complexity of trade-offs.

Purpose of the Study:

  • To explore the potential of artificial intelligence in optimizing healthcare resource allocation.
  • To address the challenge of identifying and accounting for all affected individuals in policy decisions.

Main Methods:

  • Utilizing artificial intelligence to mine large datasets for comprehensive outcome predictions.
  • Leveraging AI for delineating optimal healthcare resource allocation choices.

Main Results:

  • AI can generate more precise and comprehensive predictions of likely outcomes.
  • AI has the potential to make 'invisible' victims 'visible' in resource allocation decisions.

Conclusions:

  • Artificial intelligence offers a transformative approach to healthcare resource allocation.
  • AI implementation presents a significant ethical dilemma for policymakers, akin to the trolley problem.