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How explainable AI can help uplift modern businesses

Explore everything about explainable AI (XAI) and discover how you can deploy it in your business.

Johannesburg, 02 Jun 2021
Read time 4min 20sec
Image by Gerd Altmann from Pixabay.
Image by Gerd Altmann from Pixabay.

Explainable AI (XAI) fully describes an AI model, its expected impact and any potential biases. It helps you understand the steps taken by an AI technique to arrive at a decision. Ideally, it characterises the transparency, fairness and model accuracy in AI-powered decision-making.

In this article, we will take a look at XAI in detail and explore how you can implement it in your organisation.

“About half (46%) of South African companies indicate that they are already implementing AI within their organisations.” – BusinessTech

Why is explainable AI important for your business?

As AI becomes more advanced, it becomes challenging for humans to understand how a certain AI algorithm generates results. A complicated AI algorithm is commonly known as a black box – a concept that is impossible to interpret. Engineers and data scientists who create these “black box” AI models also find it hard to interpret how the algorithms work. This makes it hard to modify these algorithms when issues arise.

When deploying AI techniques, it is important to understand every step of how an AI algorithm generates results. Explainability not only ensures that a system works as expected, but it makes it easy to update the algorithm or make changes to it.

For this reason, it is critical for you to be familiar with the AI decision-making processes within your organisation. This can help you clearly understand these algorithms and even make it easy to explain them to your employees or clients. This can help build trust with your clients and can play a critical role in the overall reputation of your company.

Top industries that can benefit from XAI

XAI benefits companies in various industries. Here are a few top sectors where XAI plays a significant role.

1. Manufacturing

In manufacturing, AI techniques help analyse unstructured data and help predict equipment failures. Understanding how these AI techniques work can help manufacturers understand the improvements they need to make in case the algorithms do not generate reliable results.

2. Banking and insurance

In banking and insurance, AI helps with claims processing, underwriting, customer service and streamlined loan processing. In some instances, these AI techniques reject applications for claims and loans. XAI helps bankers and insurers understand how a decision was made and what data models were applied. In case there are any discrepancies in these algorithms, XAI makes it easy for bankers or insurers to identify issues and modify them.

3. Healthcare

AI techniques and robotics play a critical role in the healthcare sector. XAI makes it easy for medical practitioners to understand why automated healthcare systems don’t function as intended. This helps them know what steps they should take instead of blindly trusting the algorithms and putting people’s lives at risk.

4. Autonomous vehicles

In autonomous vehicles, it’s critical to understand how an AI system is developed and the role it plays in a vehicle. Autonomous vehicles with black box AI models could cause accidents and put people’s lives in danger. With XAI, automakers can trace all data sets used in autonomous vehicles and how those models are intended to function. This can help them easily identify areas that need improvement so they could design safer autonomous vehicles.

“Artificial intelligence (AI) is a transformational $15 trillion opportunity. But, as AI becomes more sophisticated, decision-making is influenced by an algorithmic ‘black box’. Explainable AI is the best way to determine how complex ‘black box’ AI algorithms generate certain results.” – PwC

How to deploy explainable AI

Given the challenges that businesses face with AI bias and accuracy, understanding how your AI systems work needs to be a top priority.

So, how do you deploy XAI?

You simply get in touch with a reliable software company like Winjit. This will help ensure that you adopt AI responsibly by understanding how it works and the impact it has on your organisation.

Even if your business is already AI-driven, it is advisable to understand how your current AI systems operate. You could still get in touch with a reputable software company that will help restructure your AI systems and make them explainable.

Conclusion

Explainable AI (XAI) is a responsible and transparent approach when developing AI for your business. Ideally, it helps tackle the so-called AI black boxes by clearly explaining how certain decisions are made.

Get in touch with Winjit to start your XAI journey.

Winjit has successfully deployed solutions for various industries using an AI-first approach. Over more than 10 years, it has displayed expertise in incorporating emerging technologies like AI, machine learning, IOT and computer vision into its solutions.

To learn more, contact us at marketing@winjit.com or call (+27) 10 109 1507.

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