Samsung is a truly innovative company that allows their employees to use ChatGPT so that they use and know about the latest technological advancements and trends. Based on the report from a local media outlet, 20 days after allowing the use of ChatGPT at their semiconductor business in Korea, 3 incidents occurred.
The reported incident involving Samsung Electronics’ employees highlights potential risks of using ChatGPT for sensitive tasks. The use cases mentioned in the report, such as coding assistance, requesting code optimization, and converting meeting recordings into document files, demonstrate the versatility of ChatGPT. However, the incident also underscores the importance of being cautious when handling sensitive data with ChatGPT or any other AI model, as data leakage could expose confidential information and pose risks to organizations.
According to ChatGPT’s terms of use, OpenAI, the company behind ChatGPT, has the right to utilize the inputs provided by users for training purposes. In other words, ChatGPT can use Samsung’s internal data for their own model training.
Samsung’s leadership has taken a proactive approach in response to the incident involving ChatGPT. While they have decided to shut down ChatGPT in the semiconductor part of their business due to the data leakage risk, they have recognized the value of LLM in other areas of their business. By utilizing LLM in other domains, Samsung aims to empower their employees to stay ahead of the curve and fully leverage the potential of generative AI for various tasks. Furthermore, the consideration of building an internal LLM model reflects their commitment to protecting sensitive data and mitigating risks in the future. This demonstrates Samsung’s commitment to balancing innovation with data protection and ensuring responsible and strategic use of AI technologies across their organization.
Moonlight, with its Chrome extension, could have been a perfect solution for Samsung in mitigating the risk of sensitive data leakage through ChatGPT. Moonlight’s technology provides an added layer of security by masking all data processed by LLM, ensuring that sensitive information remains confidential and protected.
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