{"id":15827,"date":"2023-08-23T11:10:07","date_gmt":"2023-08-23T11:10:07","guid":{"rendered":"https:\/\/www.walkme.com\/blog\/?p=15827"},"modified":"2023-09-05T08:46:43","modified_gmt":"2023-09-05T08:46:43","slug":"shadow-ai","status":"publish","type":"post","link":"https:\/\/www.walkme.com\/blog\/shadow-ai\/","title":{"rendered":"What is shadow AI & how to turn a liability into an asset\u00a0"},"content":{"rendered":"\n

Shadow AI is a term used to describe <\/span>artificial intelligence (AI)<\/b><\/a> applications and tools implemented and used without the explicit knowledge or control of an organization’s IT department. <\/b><\/p>\n\n\n\n

These AI solutions can range from <\/span>chatbots<\/span><\/a>, such as ChatGPT and Bard, to more advanced AI technologies that employees may adopt for their own use beyond official corporate oversight.<\/span><\/p>\n\n\n\n

The concept of Shadow AI has evolved from the phenomenon of ‘S<\/a><\/span>hadow IT<\/span><\/a>,’ which refers to the use of IT systems and solutions not managed or approved by the corporate IT department. However, Shadow AI poses potentially greater risks due to the inherent complexity and unpredictability of AI systems.<\/span><\/p>\n\n\n\n

While Shadow AI can drive innovation and efficiency by allowing users to quickly meet their needs, it also introduces significant risks. These include <\/span>data privacy issues<\/span><\/a>, non-compliance with regulatory standards, and potential exposure to cyber threats. Therefore, understanding and managing Shadow AI is becoming increasingly important in today’s digital environment.<\/span><\/p>\n\n\n\n

Shadow AI represents the hidden, uncontrolled frontier of AI usage within organizations, bringing both opportunities for individual productivity and challenges for corporate governance and risk management.<\/span><\/p>\n\n\n\n

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