Using an AI Explainability Framework To Build A Bridge Of Trust From You to Staff, System Users, And Stakeholders

Although AI may seem like a seemingly new invention, it has quickly taken over all aspects of our lives. Not only has it allowed us to become more productive but, this technology has also helped us to be safer, smarter, and more efficient in all aspects of our personal and professional lives. Your business can utilise AI explainability to better utilise AI.

Today, we rely on AI to help us make decisions in many different areas of our lives. They can inform CEOs of the largest companies, or the individual person making a decision on where they want to go out for dinner.

No matter who you are, AI is an important part of your life – whether you’re aware of it or not.

However, with the increase in the daily use of AI, there has also become a need for more transparency, oversight, and ethics. Using AI as a decision-making tool does call into question the outcomes of some of the decisions we’re making, which is why there are many people calling for explainable AI (which is also known as XAI).

What is AI Explainability?

While AI remains a new technology, there remains a lot of distrust, which can be avoided if a clear explanation is given to users before being implemented.

AI explainability is all about putting in place a set of processes and methods that makes it easier for everyone to understand AI – no matter how involved they will be or how much previous knowledge they have of AI-enabled systems.

Trusting the outputs of a computer can be quite a hard thing to get your head around as a human, so getting a thorough explanation of how it works can be very beneficial if you want team buy-in.

Not only can explainable AI make sense of what can sometimes be a complex system, but it’s also crucial for any company that wants to build trust and confidence when implementing new systems in their organization. After all, processes that aren’t understood and utilised by employees can never be truly successful.

How to Communicate Explainable AI With Employees

It’s not uncommon for employees to feel confused and unprepared when AI is brought into the workplace but, when communicated correctly, you can ensure a smooth transition for your company.

For most employees, they are concerned about two things:

  1. Why their data is being used
  2. How exactly you plan to use their data

If you’re able to communicate both these things clearly and succinctly, the hardest part of a digitalisation process is over.

There are many ways that employee data may be used by AI systems, whether in HR to monitor absences and holidays, or to finding more effective ways to complete their daily tasks.

Rather than framing AI as an invasive system that spies on employees and interferes with their work, it can often be a help to employees and may take some of the pressure off their busy days.

How their data is used comes under the regulations of GDPR, which prevents companies from being able to use personal data in any way they like.

Under GDPR, employees must explicitly give consent for providing their data, what data they provide, and in which specific way it will be used.

Benefits of AI Explainability

Introducing AI can be a long process and a steep learning curve for companies and organisations that are not set up to embrace technological changes.

The only way that AI implementation can be fully embraced is through putting in place AI explainability processes and methods.

Here are some of the important benefits of AI explainability:

Ensures Developers Can Maintain And Monitor AI Systems

If your developers do not understand how AI works in their daily tasks, they won’t be able to do the best job possible.

When AI is explained to employees, they can understand how to get the most out of the systems, what their limitations are, and how useful it can be to their daily tasks.

Aids Sustainable Business Transformation

AI is helping to transform businesses across the world; making organizations more effective, productive, and streamlined.

However, without AI explainability, it will be hard to realise this business transformation

It Helps You Meet Regulatory Standards

Since GDPR was introduced, it has become mandatory for companies to follow this set of regulations.

If your company is seen to be disobeying the rules of GDPR you may be fined and face some intense consequences that can impact your ability to operate.

Once you explain the importance of AI to your team and how GDPR is an important consideration when working with new technology, you will dramatically reduce your chances of making mistakes or breaking GDPR rules.