Explainable AI
How does artificial intelligence come to its decision? Often, this process is difficult to understand. However, transparency is vital for the successful use of AI. With Explainable AI (XAI), the decisions made by AI can be decoded, exposing their strengths and potential risks.
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We help you build trust in AI through explainable decisions
Your journey towards trustworthy AI
As AI increasingly permeates our world, calls for transparency grow louder. The AI Act reaffirms: Human must be at the center of every technology. Explainable AI (XAI) is a framework consisting of tools that make AI decisions understandable and traceable. This is crucial because only human trust in the technology can ensure that AI is used effectively and safely in businesses.
The inner workings of powerful AI systems are often unknown; AI is generally considered a black box. XAI opens this black box by breaking down the decision-making processes occurring within the AI system. This makes AI predictions understandable even for non-experts. This transparency is particularly important to comprehend and manage the impacts of AI decisions in real-world scenarios.
Our expertise includes the development of XAI solutions that are informative, trustworthy, and targeted to their user group. We utilize cutting-edge technologies to create custom XAI approaches that can be integrated into your IT landscape, thereby maximizing the value of your AI investments.
Business use cases for Explainable AI
Through subgroup analyses, biases and discriminations within AI systems can be identified and addressed.
With XAI, the (un)certainty of AI decisions can be quantified, and the model can be calibrated.
By analyzing the key influencing factors, it can be checked whether the AI makes decisions in a manner similar to a human.
With XAI, it is possible to simulate how the model reacts to extreme cases or changes in external circumstances.
XAI can identify the influence of certain factors on processes and suggest optimizations.
Recommendation systems that utilize XAI provide users with explanations for their suggestions.
With XAI, the impact of external shocks or hidden attacks on an AI system can be estimated.
In highly-regulated industries, XAI is already being used to prepare AI systems for external audits.
Advantages of using Explainable AI
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Check AI predictions
Assess the plausibility and reliability of an AI system’s predictions to make informed data-driven decisions.
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Increase AI adoption
Increase the adoption of AI providing meaningful and relevant insights that enable users to understand and benefit from the AI’s predictions.
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Build trust in AI
Promote trust-based human-machine interactions through transparent processes and explainable decisions.
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Enable non-experts to work with AI
Benefit from psychologically grounded explanations that cater to different audiences and experience levels.
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As a leading data & AI consulting and development company, we help you realize the full benefits of Explainable AI. Contact us today to find out how you can benefit. Our AI consultants look forward to hearing from you.
