Who’s at fault when AI makes a mistake?

Artificial intelligence (AI) is becoming increasingly prevalent in businesses, with applications ranging from automating mundane tasks to making important decisions. However, as the use of AI grows, so does the potential for mistakes. The question of who is responsible when AI makes mistakes is a complex one, with multiple stakeholders involved.

An example of what could go wrong with AI is within in the healthcare industry. Imagine a hospital using an AI-powered diagnostic tool to analyse medical images. If the AI makes a mistake, such as misdiagnosing a patient’s condition, the consequences could be severe. The patient may receive the wrong treatment, leading to further complications and potentially even death. In this scenario, the hospital, the company that developed the AI-powered diagnostic tool, and the AI framework itself all have a level of responsibility. The hospital bears the responsibility of ensuring that the AI-powered diagnostic tool they use is accurate and reliable. They also have a duty to inform patients of the potential risks associated with using AI in their medical treatment. The company that developed the AI-powered diagnostic tool has a responsibility to ensure that their product is thoroughly tested and meets industry standards. They also have a duty to provide support and assistance to the hospital in the event of a mistake. Finally, the AI framework itself has a responsibility to make accurate and reliable predictions.

In the event of a mistake, determining the level of responsibility can be challenging. It may require a thorough investigation to determine the root cause of the mistake and who is ultimately responsible. However, it is important for businesses to have clear policies and procedures in place to address the issue of responsibility in the event of an AI mistake. This can include regular testing and monitoring of the AI system, having a clear chain of accountability, and providing training and support to those who use the AI system.

The issue of who is responsible when AI makes mistakes is a complex one that requires careful consideration. Businesses must have clear policies and procedures in place to address the issue of responsibility, and all stakeholders must be aware of their responsibilities to ensure the safe and reliable use of AI in their operations. Pocket App can help you navigate these considerations and help you make suggest the appropriate utilisation of AI in your upcoming projects.