In 2000, McGraw wrote the first book on software security, paving the way for an entire industry. With BIML, he’s shifted his attention to a new frontier: machine-learning algorithms.
While others fear sentient robots eradicating humanity, there’s a much more urgent and imminent concern about how algorithmic and data bias can threaten society, Emily Crose argues.
Machine learning, enabled by finely tuned algorithms and a plethora of data, "artificial intelligence" is quickly growing in influence among security professionals, cybercrime rings, and data-probing government agencies. Here’s how.
