Biasointimenetelmät
Biasointimenetelmät, also known as bias mitigation techniques, are strategies employed in machine learning and artificial intelligence to reduce or eliminate unfair or discriminatory outcomes stemming from biased data or algorithms. Bias can manifest in various forms, such as racial, gender, or socioeconomic bias, leading to inequitable treatment or predictions for certain demographic groups.
These methods aim to address bias at different stages of the machine learning pipeline. Pre-processing techniques
The development and application of biasointimenetelmät are crucial for building responsible and ethical AI systems. Ongoing