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Can we trust AI?

This video raises the issue of the trustworthiness of AI.
What does it mean to trust AI?
STÉPHANIE LOPEZ: It’s not a matter of whether to trust AI or not, it’s about checking whether the data scientists who have built this AI product, I’ve considered all the possible use cases and limits bias.
RENATO CUOCLO: In my opinion, to trust AI means to understand how it works. Because if you understand how it works, then you can trust it and you know where the boundaries of that trust lie.
HANNEKE VAN DER WAL-HUISMAN: I think it should be substantiated with evidence. And based on that, I think you can trust the system, however, you always should be critical.
ERIK RANSCHAERT: Trust in AI is the ability to accept an AI model or an AI solution as a partner, providing you with valuable information and, yes, allowing you to improve your diagnosis or your services.
PETER VAN OOIJEN: I think to trust artificial intelligence in healthcare we need both technical and clinical evidence that it performs the way we expect it. How can we strengthen trust in AI?
MEREL HUISMAN: Yes, definitely. Actually, some colleagues and me, we investigated this on a larger scale. We saw, in a large survey study in radiologists, that the knowledge levels, or increasing knowledge levels, directly correlate with the likelihood of radiologists being open and proactive. So, trustful towards an AI tool. So education is key here. Doctor but also vendor education.
SOTIRIOS BISDASO: We can strengthen the trust by increasing the explainability of AI by also increasing transparency in how these AI products are created, also by applying ethical rules in developing and also exploiting AI and actually put the humans in the centre of AI, rather than AI in the centre and the humans rotating around them.
ELS MAECKELBERGHE: We can strengthen our trust in people who build AI by these people involving the general public in what they are doing; explaining what are the possibilities of AI and what are the limits of AI. And, especially in healthcare explaining how health care professionals, and citizens, and patients can use it to their benefit and what are the stopping rules.
Now that we have learned more about the ethical and social aspects of artificial intelligence in healthcare, it would be interesting to reconsider the topic of the trustworthiness of artificial intelligence, which has been discussed in Week 2. We have asked different kinds of experts to elaborate what they think about the topic of trust in AI.

Do you agree with these experts? Have the topics discussed this week changed your mind? Share your observations in the discussion section.

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How Artificial Intelligence Can Support Healthcare

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