Artificial intelligence has the potential to be world-changing, but leaders have trust concerns.
Artificial intelligence (AI) has astounded the world—from the discovery of subatomic particles to the first photograph of a black hole. And we still don’t understand its full potential.
Without a complete understanding of algorithms, business executives have been hesitant to integrate AI in everyday decisions, and KPMG’s 2019 CEO Outlook found that 66 percent of leaders surveyed overlooked insights provided by computer-driven data analysis simply because they were contrary to their experience or intuition. Leaders involved in the adoption and implementation of AI and machine learning algorithms recognize that “because the machine said so” does not help to foster C-suite trust in AI’s capabilities.
However, gaining trust around AI is a top goal of leaders, and we’ve found four anchors that help build trust and transparency in AI as well as provide rationale for critical business decisions made by algorithms.
The four anchors include:
Ultimately, trust in AI and machine learning depends upon accountability of AI results, but few organizations have solid practices in place. Most leaders don’t know how to close the trust gap because they don’t know how to govern AI and see the big picture of its operation. Many organizations also lack the tools and expertise to gain control and a full understanding of algorithms and introduce transparency into results, but this can be achieved through the right integration strategy and methodology.
To learn more about how to govern AI programs and gain confidence in AI technologies, please read Controlling AI: The imperative for transparency and explainability.