How two founders approach building ethical AI startups in health care

The speed at which AI companies are evolving is making a lot of people nervous. That’s because moving fast could lead to potential ethical issues that aren’t able to be addressed.
Building ethical algorithms takes time. Models that were built quickly are more likely to have ingrained bias while lacking the necessary guardrails in place to keep them from causing unnecessary damage. If done in haste, or done poorly, AI models have the potential to cause real harm in certain sensitive industries, such as health care.
But, of course, many of the worries center around new founders riding into the s

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