Algorithmic Safety

Algorithmic safety refers to designing and implementing computer algorithms in a way that minimizes risks, errors, and unintended consequences. It involves ensuring that algorithms operate reliably across various scenarios, do not produce harmful outcomes, and can handle unexpected inputs or situations gracefully. This is especially important for systems that impact people's lives, such as healthcare, finance, or autonomous vehicles. Essentially, algorithmic safety aims to build trust and prevent harm by carefully testing, monitoring, and controlling how algorithms make decisions.