Ensuring Equity in Algorithm Lifecycle

The key insight is to prioritize addressing equity throughout all stages of the algorithm lifecycle. Algorithms are extensively integrated into clinical practice, lacking transparency and regulation, making it crucial to scrutinize their development, application, purpose, potential biases, and long-term impact on diverse populations. Stakeholders should actively question the development process, usage, bias mitigation, and equity advancement. There is a need for a combination of market incentives and regulation to ensure algorithms promote fairness consistently, considering the evolving population dynamics that may introduce bias over time. Algorithms should ideally have an expiry date or review period to safeguard against biased outcomes for different groups.