This Paper Explores the Legal and Ethical Maze of Language Model Training: Unveiling the Risks and Remedies in Dataset Transparency and Use

As language models become increasingly advanced, concerns have arisen around the ethical and legal implications of training them on vast and diverse datasets. If the training data is not properly understood, it could leak sensitive information between the training and test datasets. This could expose personally identifiable information (PII), introduce unintended biases or behaviors, and […]

The post This Paper Explores the Legal and Ethical Maze of Language Model Training: Unveiling the Risks and Remedies in Dataset Transparency and Use …

advanced ai shorts applications artificial intelligence become concerns data dataset datasets diverse editors pick ethical information language language model language models large language model legal legal implications machine learning paper risks staff tech news technology them training training data transparency vast