Humility in AI

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Seth Adler
11/13/2020

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AI is becoming ubiquitous. More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. The number of critical touch points is growing exponentially with the adoption of AI.

But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions. This could mean a catastrophic failure by the system down the line, especially without proper guardrails. These failures can also significantly erode human trust in AI, rendering it ineffective for real-world applications in many industries.

With the rising stakes, AI systems must be built to be humble, just like humans. AI should know when it is not sure about the right answer to transfer the critical decision-making process back to people.

In this ebook, we explore the concept of humility in AI systems and how it can be applied to existing solutions to ensure their trustworthiness, ethicality, and reliability in a fast-changing world.

Download the e-book to realize:

  • What makes AI systems susceptible to performance and accuracy issues
  • Real-life examples of issues with the underlying data used for predictions that may benefit from a humility framework
  • How a humble AI system can improve tactical and strategic decisions

We respect your privacy, by clicking "Download Your Copy" you agree to having your details passed onto the sponsor who may promote similar products and services related to your area of interest subject to their privacy policy. You have the right to object. In addition, you will receive our e-newsletter, including information on related online learning opportunities. For further information on how we process and monitor your personal data, and information about your privacy and opt-out rights, click here.

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