Algorithmic audits are a method of assessing compliance of algorithms with specific values and principles, such as fairness, accountability, and transparency. How might algorithmic audits help to ensure that algorithms used in finance, healthcare, or employment align with ethical standards? In what ways can algorithmic audits detect biases or errors that might have been overlooked during algorithm development? How might algorithmic audits increase trust in algorithmic decision-making systems?
Given that a set of values and standards are determined, Algorithmic audits can help ensure that algorithms do not perpetuate social or ethical biases and align with ethical values such as fairness, justice, and equality.
This content is created by the open source Your Priorities citizen engagement platform designed by the non profit Citizens Foundation