Approaching Ethical AI Startups for Healthcare: Insights from Two Founders

The rapid evolution of AI companies is causing some concern among many people. The fast pace at which startups are moving provides potential for ethical issues that may not be addressed. Building ethical algorithms takes time, and models made quickly are more likely to be biased while lacking the necessary protections in place to prevent unnecessary damage. Poorly done or hastily done AI models could cause real harm in sensitive sectors, such as healthcare. Many of the concerns revolve around the hype-train that new founders jump on as opposed to entrepreneurs who spent years carefully building models. Amy Brown, CEO and founder of Authenticx, is one such entrepreneur who understands the potential negative results of incorrectly built models. Her startup is involved with helping healthcare companies gain valuable insights using AI from customer service data centers.