Artificial intelligence (AI) technology has already proven itself to be a powerful asset in business. It allows machines to think for themselves at a faster pace than ever before. Unfortunately, they can also pose cybersecurity challenges. This interesting information came to us from The Globe and Mail in their article, “Artificial intelligence and cybersecurity risks: Take steps to address AI vulnerabilities.“
AI is no longer an emerging technology. It’s true. It has become mainstream. Organizations that don’t leverage AI could lose their competitive edge.
Because of this, threats exist throughout the AI life cycle. Data is collected in both structured and unstructured ways and it’s stored for analysis, and this can include sensitive information about individuals. The integrity of the data itself is also critical.
Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.