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Building Trust in Artificial Intelligence

Trust is an imperative value in human interaction and behavior. In the business world, this is no different. AI has also become a key tool in unifying the business world with human elements to help automate processes and manage complex data. The pressure is on for organizations to keep up with the times and adopt using AI, but why are some companies hesitant to do so? Can AI be trusted?

20 June 2022 • 1 min read

The uses and predictions of AI systems are becoming increasingly important in our complex world of technology and digital operations. It is gradually becoming a must-have to drive change and growth for businesses to adopt in ensuring transparency and reliability. 

However, AI models are extremely complex and aren’t always immune to mistakes, much like human errors, which are traceable by personal biases and external misinformation, whereas it is more difficult to trace issues around reward tampering or corruption in reinforcement-based AI algorithms. 

In this white paper, you’ll discover:

  • Why AI is vital for businesses to adopt and why some businesses are hesitant to
  • Examples where an AI model must explain itself for transparency
  • Explainable AI to improve the world of collaborative intelligence which is fair and unbiased with high accountability and transparency.

Download to read the full white paper and learn about how NTT DATA’s framework helps to interpret decisions and draw insights about the inner workings of an AI engine. 

Artificial intelligenceAutomationCorporate governanceDiversity, equity & inclusionTrustWhitepaper

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