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Why Is Solving For Trust In AI So Challenging?

May 16, 2022

“Technology revolutions often move through predictable phases. What begins in science laboratories is put to work and scaled by organizations—and then those organizations contend with how to manage the technology toward its greatest value. Today, artificial intelligence (AI) has reached this third phase, and to capture the most potential benefit, we are called to consider AI through the lenses of effective governance, ethics and trust.”

In this recent article for Forbes, author and executive Beena Ammanath covers some of the reasons why AI trust is a difficult problem to solve.

  • Lack of depth in conversations around AI ethics
  • Regulation often doesn’t keep pace with innovation
  • A need for AI governance frameworks that incorporate people, processes, and technology

Read the full article in Forbes to learn more.

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AI Governance & Assurance
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Ethics & Responsibility