Computing in Practice Series

Aug
2
//
2022
Computing in Practice Series

Trustworthy AI in Healthcare #02

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.
Jul
18
//
2022
Computing in Practice Series

Trustworthy AI in Healthcare #01

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.
Feb
16
//
2021
Computing in Practice Series

AI for Robotics

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.
Oct
27
//
2020
Computing in Practice Series

Why Algorithmic Fairness?

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.

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