Artificial intelligence (AI) has revolutionised various aspects of the workplace, offering unprecedented efficiency and productivity. However, there are situations where relying on AI can be detrimental or even risky. Here are three times you should avoid using AI at work.

Handling Sensitive Client Information

When dealing with sensitive client information, it’s crucial to prioritise privacy and confidentiality. AI tools, especially those that process and store data externally, can pose significant risks.

Case Study: Samsung's ChatGPT Ban

In May 2023, Samsung Electronics banned the use of ChatGPT and similar AI tools among its employees. This decision came after an engineer accidentally leaked sensitive internal source code by uploading it to ChatGPT. Samsung’s concern was that data shared with AI chatbots is stored on servers owned by companies like OpenAI, Microsoft, and Google, with no straightforward way to access or delete it. There was also a fear that sensitive data could be inadvertently served to other users.

This incident underscores the importance of safeguarding sensitive information. To avoid such risks, always handle client data through secure, in-house systems rather than external AI tools.

Discussing Intellectual Property or Company Secrets

Intellectual property (IP) and company secrets are the backbone of many businesses, and protecting them is essential. Sharing this type of information with AI tools can lead to unintended exposure and potential exploitation.

Many organisations have restricted the use of generative AI tools among employees to prevent such risks. For example, Amazon warned its employees not to share any code or confidential information with ChatGPT after discovering AI responses that resembled internal Amazon data. Similar measures were taken by JPMorgan Chase and other major banks to avoid potential regulatory risks associated with sharing sensitive financial information.

To safeguard your company’s IP and secrets, ensure that these details are kept within secure, controlled environments and avoid using AI tools for related discussions or documentation. Additionally, employees should protect themselves by being cautious with the information they share, ensuring they are not liable for any legal consequences if company information is accidentally leaked.

Making High-Stakes Decisions

While AI can provide valuable insights and recommendations, it is not infallible. Relying solely on AI for high-stakes decisions can lead to significant consequences if the AI makes an error or fails to consider critical nuances.

Why It’s a Bad Idea:

Lack of Context: AI may not fully understand the context or implications of a decision.

Bias and Errors: AI models can be biassed or make errors based on incomplete or skewed data.

Accountability: High-stakes decisions should involve human judgement and accountability.

For instance, using AI to make hiring decisions, major financial investments, or strategic business moves can be risky. These decisions require a comprehensive understanding of various factors, ethical considerations, and potential long-term impacts that AI might not fully grasp.

While AI tools offer numerous advantages, it's crucial to recognise their limitations and the potential risks involved. Avoid using AI when handling sensitive client information, discussing intellectual property or company secrets, and making high-stakes decisions. By understanding when not to use AI, you can better protect your business and ensure that critical tasks are managed appropriately.

Want to know more about how to implement AI tools efficiently and securely? Full Circle provides expert guidance and support, helping you maximise the benefits of AI while mitigating potential risks and challenges. Contact us today for more information.