Aug 30, 2023 · Through the findings of a multivocal literature review (MLR), we aim to understand what AI-based systems are, what bias is and the types of bias ...
Through the findings of a multivocal literature review (MLR), we aim to understand what AI-based systems are, what bias is and the types of bias these systems ...
Oct 29, 2024 · Medical services can be enhanced by merging important technologies like artificial intelligence and the Internet of Things. The healthcare ...
Sep 28, 2023 · Through the findings of a multivocal literature review (MLR), we aim to understand what AI-based systems are, what bias is and the types of bias ...
Through the findings of a multivocal literature review (MLR), we aim to understand what AI-based systems are, what bias is and the types of bias these systems ...
People also ask
What are the sources of bias in AI systems?
How to detect bias in AI?
What is the bias of ML?
What is the potential source of bias in training data for AI models?
Jun 11, 2024 · This bias can manifest due to several reasons, such as trust issues on algorithms' reliability, transparency, or interpretability or a lack of ...
This humble research is a glance through the problems - the bias and discrimination of AI based Administrative Decision Making and Support systems.
Oct 3, 2023 · Our results show that biased recommendations made by AI systems can adversely impact human decisions in professional fields such as healthcare.
Apr 18, 2024 · The authors review definitions of bias in AI, describe common sources of bias, and present recommendations to guide quality control measures to mitigate the ...
These biases can negatively impact individuals and society by amplifying and reinforcing discrimination at a speed and scale far beyond the traditional ...