Illustrating the importance of avoiding bias in AI and machine learning. Ensuring fairness and ethical considerations in model development.
GLIX-111-878649942
Kollekció
GLIX Easy
Leírás
Illustrating the importance of avoiding bias in AI and machine learning. Ensuring fairness and ethical considerations in model development.
Kulcsszavak
model,
risk,
mode,
accuracy,
data,
development,
equity,
performance,
strategy,
precision,
transparency,
training,
distribution,
statistics,
evaluation,
error,
responsibility,
mean,
fairness,
classification,
discrimination,
regulation,
prediction,
variance,
bias,
validation,
recall,
testing,
audit,
inclusion,
implementation,
ethics,
algorithm,
probability,
governance,
accountability,
ai,
optimization,
median,
compliance,
mitigation,
inference,
auc,
machinelearning,
standarddeviation,
confusionmatrix,
f1score,
roccurve,