What are the main challenges of using AI in document review?

What are the main challenges of using AI in document review?

Some key challenges include data quality, bias in algorithms, and the need for human oversight.

How does data quality affect AI performance in document review?

Poor data quality can lead to inaccurate predictions and misinterpretations, affecting the overall reliability of AI.

What steps can be taken to mitigate bias in AI algorithms?

To mitigate bias, it's essential to use diverse training data, regularly audit algorithms, and involve diverse teams in development.

Is human oversight still necessary even with advanced AI?

Yes, human oversight is crucial to ensure context understanding and to make ethical decisions that AI may not grasp.

What future advancements can we expect in AI for document review?

Future advancements may include improved natural language processing, better integration with human workflows, and enhanced learning algorithms.