This article explores the growing importance of trust in artificial intelligence (AI). It highlights the challenges businesses face due to consumer skepticism and a lack of transparency in AI systems. The solution proposed is 'trusted AI' – a strategy for designing, developing, and deploying AI that prioritizes accountability, competence, consistency, dependability, empathy, integrity, and transparency.
Artificial intelligence is at a pivotal moment. The rapid emergence of generative AI has brought with it a landslide of predictions about AI’s growth and impact on business and society. But one issue might keep your organization from scaling AI to its full potential: trust.
The solution to this challenge is “trusted AI”: AI designed, developed, deployed, and governed to meet diverse stakeholder needs for accountability, competence, consistency, dependability, empathy, integrity, and transparency. Introducing trusted AI is a well-defined strategy that allows businesses to deploy AI in a way that reaps all its benefits while minimizing risk and doubt.In the context of AI, trust means the confidence in a certain outcome.
Consumers, however, are much more skeptical, saying they want to know where the AI resides in their purchasing path and want more visibility into how the organizations they interact with use AI. A mere 28% of online adults in the U.S. say they trust companies using AI models with their customers, while 46% say they don’t. And more than half said they feel “AI poses a serious threat to society.”
Artificial Intelligence Trusted AI Business Growth AI Ethics Transparency
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