AI is playing a central role in aiding and speeding-up the search for treatments and a cure to the COVID-19 pandemic. The intensified energy/focus placed on AI these days (and coming months) is likely to have an interesting and positive reverberating effect. We can expect this to further accelerate and deepen AI’s propagation and implementation across many sectors, not just health care.
Concomitantly with this trend we are likely to find an intensified reliance emerge on ensuring AI applications contain prime operational qualities: That they are safe and efficient. (We can parse out the “safe” and “efficient” prime qualities into various sub-qualities. For example, “certified for operation” — as discussed in the Role of Explainable AI post — would belong to the safe prime quality and “accurate” or “perfect information” to the efficient quality.) With this intensified reliance we will find that it’s important to have effective tools that mitigate against the erosion risk of the safe and efficient prime qualities.
