As Artificial Intelligence (AI) continues to reshape practically every industry, understanding the responsibility of AI is a business imperative. Scaling any solution ethically requires greater attention to bias in technology, and AI’s scalability presents a unique challenge. In the following White Paper, you will learn how to quantify and reduce potential bias in AI, complemented with the imperatives and strategies that a business leader should consider to address it.
As Artificial Intelligence (AI) continues to reshape practically every industry, understanding the responsibility of AI is a business imperative. Scaling any solution ethically requires greater attention to bias in technology, and AI’s scalability presents a unique challenge. In the following White Paper, you will learn how to quantify and reduce potential bias in AI, complemented with the imperatives and strategies that a business leader should consider to address it.
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Does Artificial Intelligence Democratize or Deny Access?
Understand how biased AI models represent barriers between service providers and customers, driving to loss of consumers, money and even possible lawsuits. And explore how to face this challenge.
Quantify BIAS in AI
Learn how to identify when an AI model may present any sort of bias in the desired outcome.
Reduce BIAS in AI
Explore many ways of how companies reduce bias in Conversational AI and other Artificial Intelligence based solutions.
Importance of Responsible AI
Understand why addressing bias in AI is a must, providing and developing responsible AI models is non-negotiable.