Can your brand explain how its artificial intelligence (AI) applications work, and why they make the decisions they do? Brand trust is hard to win and easy to lose, and transparent and easily explainable AI applications are a great start towards building customers’ trust and enhancing the efficiency and effectiveness of AI apps.
This article looks at Explainable AI (XAI), and why it should be a part of your brand’s AI strategy.
What Is Explainable Artificial Intelligence (XAI)?
Typical AI apps are often referred to as “black box” AI because whatever occurs within the application is relatively unknown to all but those data scientists, programmers and designers who created it. Individually, even those people may not be able to explain anything outside of their primary domain. Without being able to provide any discernible insights as to how AI comes to make decisions, an AI app cannot be fully optimized.
Rather than being hidden in a figurative black box, XAI is to offer transparency, making it easy to see and infinitely more explainable. Typically, the aspects of AI that are hard to understand revolve around decisions the AI app makes, which are based on the actionable insights it gains from real-time and past interactions. XAI makes it easier to understand why AI algorithms decide to perform that “next best action.” Because XAI apps are transparent and easier to debug, brands can eliminate unconscious biases and explain ethical decisions.
Why Is Explainability Important?
The inner workings of relatively complex AI applications, such as online retail recommender systems, intelligent assistants or conversational chatbots, use moderately benign decision engines that are of no interest to the majority of users. Most brands are likely unconcerned with providing transparency or explainability for these types of AI applications.
Continue reading: https://www.cmswire.com/digital-marketing/does-your-artificial-intelligence-strategy-include-xai/
This article looks at Explainable AI (XAI), and why it should be a part of your brand’s AI strategy.
What Is Explainable Artificial Intelligence (XAI)?
Typical AI apps are often referred to as “black box” AI because whatever occurs within the application is relatively unknown to all but those data scientists, programmers and designers who created it. Individually, even those people may not be able to explain anything outside of their primary domain. Without being able to provide any discernible insights as to how AI comes to make decisions, an AI app cannot be fully optimized.
Rather than being hidden in a figurative black box, XAI is to offer transparency, making it easy to see and infinitely more explainable. Typically, the aspects of AI that are hard to understand revolve around decisions the AI app makes, which are based on the actionable insights it gains from real-time and past interactions. XAI makes it easier to understand why AI algorithms decide to perform that “next best action.” Because XAI apps are transparent and easier to debug, brands can eliminate unconscious biases and explain ethical decisions.
Why Is Explainability Important?
The inner workings of relatively complex AI applications, such as online retail recommender systems, intelligent assistants or conversational chatbots, use moderately benign decision engines that are of no interest to the majority of users. Most brands are likely unconcerned with providing transparency or explainability for these types of AI applications.
Continue reading: https://www.cmswire.com/digital-marketing/does-your-artificial-intelligence-strategy-include-xai/
