Artificial intelligence (AI) is more prolific than ever. But in this race to get the most out of the technology, is anyone monitoring ethical side of the process? Is anyone asking “should we” in addition to “can we”? This interesting topic came to us from datanami in their article, “AI Ethics and Data Governance: A Virtuous Cycle.”
As companies spend billions researching and developing AI, they are faced with deciding what responsible AI looks like. It’s all still new and exciting, but it also has serious implications for society. How do you control bias in this new environment?
Before companies begin to address the ethics questions, data governance should be a priority. Because of the quick advance of AI technology, neural networks are better than humans at some tasks, particularly in certain image classification systems. This makes it very easy for organizations to utilize these advanced AI capabilities to streamline their operations, boost profits, cut costs, and improve customer service. However, if the underlying data is poorly managed and badly governed, that will be a wasted effort.
Melody K. Smith
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