Explainable AI (XAI) is a set of tools and frameworks that make artificial intelligence systems transparent and understandable. It focuses on creating AI that not only delivers accurate results but also offers understandable explanations for their decisions.
Unlike conventional machine learning models that might be perceived as black boxes, XAI emphasizes transparency and understanding, allowing users to comprehend the reasoning behind AI outputs. This transparency is essential for building trust and promoting the widespread adoption of AI across industries and user cases. Explainable AI contributes to responsible and ethical AI deployment, enabling users to assess the reliability of machine-generated insights and promoting effective collaboration between humans and AI in crucial decision-making scenarios.
As a global tech powerhouse, we support our clients to leverage AI capabilities safely and ethically on their corporate data and systems, to optimize business processes, enhance customer experience, and create new revenue streams.
By using XAI methods we can provide clear explanations and understanding of how machine learning and AI capabilities are implemented in our offering. Providing clear and transparent explanations helps our clients understand and engage more effectively with the new technology.
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