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Trustworthy AI

2022
How to test for trustworthy ...
Dijkhuis, Talko   +2 more
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Trustworthy AI'21

Proceedings of the 29th ACM International Conference on Multimedia, 2021
In this workshop, we are addressing the trustworthy AI issues for Multimedia Computing. We aim to bring together researchers in the trustworthy aspects of Multimedia Computing and facilitate discussions in injecting trusts into multimedia to develop trustworthy AI techniques that are reliable and acceptable to multimedia researchers and practitioners ...
Teddy Furon   +4 more
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Towards trustworthy AI

Proceedings of the Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems, 2021
Artificial intelligence-based (a.k.a. AI-based) controllers have received significant attentions in the past few years due to their broad applications in cyber-physical systems (CPSs) to accomplish complex control missions. However, guaranteeing safety and reliability of CPSs equipped with this kind of (uncertified) controllers is currently very ...
Abolfazl Lavaei   +3 more
openaire   +1 more source

Explainable for Trustworthy AI

2023
Black-box Artificial Intelligence (AI) systems for automated decision making are often based on over (big) human data, map a user’s features into a class or a score without exposing why. This is problematic for the lack of transparency and possible biases inherited by the algorithms from human prejudices and collection artefacts hidden in the training ...
Fosca Giannotti   +2 more
openaire   +1 more source

AI for trustworthy security, security for trustworthy AI

2022
Trustworthy operation of control systems and critical infrastructures, such as industrial control systems (ICS) or cyber physical systems (CPS) requires a secure and real-time code execution environment. Due to the importance and larger attack surfaces of these platforms, they are becoming attractive targets for malicious penetrations lead- ing to ...
openaire   +1 more source

Trustworthy AI—Part II

Computer, 2023
Riccardo Mariani   +6 more
openaire   +1 more source

MLOps as Enabler of Trustworthy AI

2024 11th IEEE Swiss Conference on Data Science (SDS)
As Artificial Intelligence (AI) systems are becoming ever more capable of performing complex tasks, their prevalence in industry, as well as society, is increasing rapidly. Adoption of AI systems requires humans to trust them, leading to the concept of trustworthy AI which covers principles such as fairness, reliability, explainability, or safety ...
Billeter, Yann   +8 more
openaire   +1 more source

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