AI-driven assessments, while offering scalability and personalized feedback, also raise significant ethical challenges, particularly concerning bias in AI algorithms and data training.
Bias in AI algorithms poses a major ethical issue; if AI systems are trained on biased data, they may reinforce existing disparities in scoring for different demographics.
To ensure fairness and transparency in AI-driven assessments, it’s vital to utilize inclusive training data and maintain a focus on ethical considerations at every stage.
The evolution of AI in educational assessments necessitates addressing ethical concerns, as unbalanced training data can severely impact students' academic trajectories and opportunities.
[
Collection
]
[
|
...
]