What it Means to Trust AI

The Union

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2+ y ago 23:53

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As technology evolves and we enable AI to make more decisions for us we need to be confident it’s leading us in the right direction. Automated systems are increasingly being for all types of use cases in HR, sales, IT, and cybersecurity to speed up business and provide better services. However, while AI-assisted answers can be incredibly helpful, it is important to ensure these systems are properly trained and have the right context to give us accurate responses and advice. We need to build trust in AI decisions. Trusting AI means understanding that there are some inherent risks involved with relying on it for critical decisions.

Trusting AI requires context
The most important factor when considering whether or not to trust AI is context: What is the AI being asked to do? What information does it have access to? Is it capable of making accurate decisions based on this data? For AI to be trusted, it must be trained properly and given access to the right data.

Without sufficient context, AI could make errors that would have otherwise been avoided. For example, if an organization’s HR department was using AI-assisted vacation time calculations, but the program didn’t understand how seniority or job title impacted these decisions, it could lead to unfair results. Similarly, if a company was relying on an automated threat assessment system but did not provide it with enough data about past threats and similar situations, then the AI would likely miss potential dangers and leave the organization exposed to risk.

For AI-assisted systems to be trusted and used reliably there needs to be sufficient training and understanding of the context. Organizations should make sure that the AI has access to the right data and is well-trained in the tasks it is being asked to perform. It is also important to remember that AI can only be as accurate and reliable as the data it has been given, so organizations must be diligent in ensuring they are providing consistent and up-to-date information.

Understanding AI limitations
Trusting AI means understanding its inherent limitations, such as its inability to think outside of what it’s been trained on or account for changes in context. As technology continues to evolve, having an understanding of these risks will be essential when making decisions about how much we rely on automated systems. With proper training and sufficient context, however, AI can be an invaluable tool for organizations of all sizes.

For example, AI can be used to automate mundane tasks such as customer service emails or accounts payable/receivable inquiries. By providing the AI with enough information about the scope of these tasks, it can quickly and accurately answer questions that would otherwise take a human employee much longer to respond to. Similarly, AI-assisted systems can process large amounts of data in seconds and allow organizations to better understand their customers’ needs and preferences.

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