
Tag: ethics
As we continue to gear up 2021, it’s hard to envision the topics of data governance, privacy, and ethics not becoming more pressing topics for companies. While the rewards of using data are great, so too are the risks connected with abusing, losing, and misusing data, and those risks are becoming ever more clear. Read more…
Managers at Stanford Medical Center blamed an algorithm for their decision not to give the COVID-19 vaccination to 1,300 residents and fellows working as frontline physicians in the hospital, much to the displeasure of those residents and fellows. Read more…
There are two weeks left in 2020, which means it’s time to exhale a bit and see where we’ve gone. It’s been a bumpy ride over the previous 50 weeks, for sure. Read more…
Data science used to be somewhat of a mystery, more of a dark art than a repeatable, scientific process. Companies basically entrusted powerful priests called data scientists to build magical algorithms that used data to make predictions, usually to boost profits or improve customer happiness. Read more…
As AI becomes increasingly integrated in our day-to-day lives, the implications of bias in AI grow more and more worrisome. Training data that appears impartial is often influenced by historical and socioeconomic factors that render it biased, sometimes to the detriment of marginalized groups, and especially in AI applications in sectors like healthcare and criminal justice. Read more…
In a nod to the national discussion on racial equality and law enforcement, IBM CEO Arvind Krishna yesterday announced that IBM will no longer sell facial recognition technology. He also called for greater transparency in use of body cameras worn by police and warned about the dangers of bias in AI systems used by law enforcement. Read more…
Facial recognition has become one of the most visible forms of AI, thanks to recent advances in deep learning and neural networks that have increased the accuracy to unprecedented levels. Read more…
AI is having a moment in the sun. There’s no doubt about that. But despite the trillions in value that AI is expected to bring over the coming years thanks to widespread automation of repetitive tasks through emergent tech like neural networks, there’s a major issue dogging AI: Read more…
Knowing what to invest in has always been a key differentiator in business. Those that do it well tend to thrive, while those that do it poorly tend to stagnate and die. Read more…