5 Benefits Of Implementing An AI Explainability Framework

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Although AI is a technological tool that is being used to transform businesses around the globe, there are many roadblocks that can get in the way of it being used effectively.

Without a proper understanding of what AI is, how it works, and what outputs can be achieved through its proper usage, it’s impossible for developers and business owners to create the type of transformation they envisioned when they first looked at implementing new AI processes.

It’s important for companies to adopt the methods and processes of AI explainability to help their team through the implementation process and ensure its success.

An explainability framework for AI is a framework that seeks to make AI more accessible and understandable for your staff.

By implementing a framework for the benefit of your employees, you can help gather more support for incoming changes, create a culture of acceptance and continuous improvement, and ensure that there are minimal mistakes while your team gets used to a new way of working.

If you’re planning to implement AI into your business processes and want to ensure a smooth transition, here are 5 benefits that will encourage you to come up with your own AI explainability framework.

1.  Grows trust between your company and users

AI is still a relatively new technology that is not widely used across all organisations, which is why it’s important to focus on educating people about what AI is, how it can be used, and the different outputs that it can achieve.

If your customers and team understand what the use of AI will mean for their data and their interactions with your company, they are more likely to place their trust and confidence in the new systems.

When these stakeholders all trust the new AI you’ve implemented, because of how well you have explained it through our AI explainability framework, it will be easier to create long-lasting brand loyalty and buy-in.

2.  You’ll get advice from professionals about all your AI-related questions

We know that transforming your business to embrace new AI technology can sometimes be just as complex as adopting the new technology in the first place.

This is why, when you choose to work with dpo Centre for your AI explainability framework, you’ll always get access to one of our experienced team members to ask any of the questions you may have about explaining AI to your team, optimising your processes, or helping with the general implementation of your new framework.

3.  You can tailor your framework to fit your industry and sector

Every industry and sector has its own set of strengths and opportunities, and this can all be represented in your AI explainability framework.

There is no one-size-fits-all approach when it comes to explaining how AI is going to work in your business, so we’re here to create a roadmap to ensure a smooth and successful implementation.

From deciding the best way to communicate how you’ll be using AI in your business, to deciding who needs to know what, we follow a completely tailored approach that will help you – and your team – get the most out of your new AI implementation.

4.  You’ll be compliant with GDPR as well as new and existing AI laws

With the recent advancement of technology, there are always new laws and regulations coming into place to add governance to the emerging sector.

One of the most important regulations that have been implemented in recent years is GDPR, which has given people more control over when and how their personal data is used by companies.

Although AI will ultimately help companies to stick to the rules and adhere to the regulations that are laid out in GDPR and other AI laws, there can quickly become issues if it’s not managed properly.

With an AI explainability framework, you can lay out the ways that you and your team can implement GDPR processes. Additionally, you can also begin to explain to your customers what data you intend to collect and what you expect to do with it.

5.  The more your team and users understand the implementation of AI, the easier it is to improve its accuracy

AI processes are often put in place to make businesses more efficient and streamlined, but they also need to work together with your human workforce and users to be properly effective.

When your team and users understand the implementation of AI, they will be able to make the most out of the processes, thus making it more likely to succeed and achieve the desired outcomes.

AI explainability is not just about making users aware of AI and how it affects them, but the purpose is to also equip them with the tools and knowledge to use AI to its fullest potential.