Research from Salesloft reveals that while many organizations rely on "human in the loop" governance to oversee AI decisions, the effectiveness of this approach is questionable if humans are working with flawed or subjective data. This matters because it challenges the assumption that human oversight alone can mitigate risks associated with AI systems; both humans and machines may arrive at incorrect conclusions based on unreliable information. Organizations should focus on improving data quality and validation processes to ensure meaningful oversight.
Read the full article at Digital Journal
Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.



