What is auditing in an AI workplace?
Auditing in an AI workplace involves testing and assessing AI algorithms against predefined standards such as fairness, transparency, and interpretability. The process aims to present evidence of how AI deployments may fall short of performance claims and to mitigate potential societal harms.
Benefits of auditing in a modern workplace
- Identifying and mitigating biases: Auditing helps detect biases in AI systems that may perpetuate discrimination based on factors like race, gender, or disability, thus preventing real-world harm
- Ensuring accountability: Algorithmic audits hold AI system owners and vendors accountable by requiring them to submit audits and develop compliance mechanisms to drive positive change
- Enhancing transparency: Mandating the disclosure of key audit findings enables peer review and public scrutiny, promoting trust in AI systems
