speed The development of artificial intelligence companies makes many people nervous. This is because moving quickly can lead to unresolved underlying ethical issues.
Building an ethical algorithm takes time. Rapidly built models are more likely to have ingrained biases while lacking the necessary protections to prevent them from causing unnecessary damage. If rushed or done poorly, AI models have the potential to do real harm to some sensitive industries, such as healthcare.
But, of course, many of the concerns center on new founders entering the space on the hype train, rather than many entrepreneurs carefully building models years before current market dynamics.
Amy Brown, Founder and CEO authentica startup that helps healthcare companies use AI to gain insights from customer call center data, said on TechCrunch’s Found podcast that those looking to build AI algorithms should Recognize the Potential Negative Consequences Wrongly constructed model.
