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Your Business Is Using AI. But Who Is Accountable When It Goes Wrong?

Jul 26
1 min read


AI is already helping employees create reports, analyse information, review documents and communicate with customers.

But if AI exposes sensitive information, produces an incorrect answer or influences a poor decision, who is responsible?

The employee who used it? The manager who approved it? The IT team? Or the AI provider?

When accountability is unclear, businesses may react only after a problem occurs. Responsible AI use requires more than approving a tool. Management should understand:

1.   What information employees may share with AI?

2.   Which AI-generated results require human review?

3.   Who can approve AI for important business activities?

4.   Who owns the risks created by its use?

5.   How an AI-related incident should be handled?

6.   Whether operations can continue if the AI service becomes unavailable?

Businesses may already have IT, security and risk controls but AI introduces new questions involving privacy, accuracy, accountability, suppliers and business resilience.

Professionals certified in AI governance, security and risk are trained to understand how these areas connect. This specialised capability remains uncommon in the market and can help organisations identify risks that may be missed when AI is treated only as another technology tool.


If an AI related problem happened tomorrow, would everyone know who must make the first decision?

 

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