Algorithmic Impact Assessments

Algorithmic Impact Assessments (AIAs) are evaluations that analyze how AI systems might affect society, individuals, and other stakeholders before they are deployed. They identify potential risks like biases, unfair treatment, privacy violations, or unintended consequences. The goal is to ensure that AI applications are transparent, fair, and safe, helping organizations make informed decisions about design, deployment, and oversight. AIAs foster accountability by providing a structured way to consider social and ethical implications, promoting responsible use of AI technology.