AI needs to be trustworthy. Trustworthiness means that healthcare organizations, doctors, and patients should be able to rely on the AI solution as being lawful, ethical, and robust.
In this ACM Selects article, based on our experience from Trustworthy AI assessments of use cases in healthcare, we have collected a number of good-read resources.
Advancements in Artificial Intelligence (AI) allow machines to function increasingly independently of remote control. Our selections briefly cover relevant articles regarding Reinforcement Learning and user experience design for robotics, as well as discussions on applications being used today.
It is important to understand where and how these systems can reflect, amplify or introduce bias into our decision-making, particularly in life-altering and vulnerable situations where these biases can result in harm.
Let us know how we can improve your ACM Selects experiences, what topics you would like us to cover in the future, whether you would like to contribute and/or subscribe to our newsletter by emailing selects-feedback@acm.org.
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