respondents would be more willing to trust AI systems when assurance mechanisms are in place to support ethical and responsible use.
According to the report, “These mechanisms include monitoring system accuracy and reliability, using an AI code of conduct, oversight by an independent AI ethical review board, adhering to standards for explainable AI and transparent AI, and an AI ethics certification to establish governance principles.”
At Accenture, the audit committee of its board of directors oversees an AI compliance program for the company’s 55,000 employees.
“If you are not able to call someone in your company, and have them tell you where AI is being used, what the risks are, how they’re being mitigated, and who is accountable, you do not yet have responsible AI,” said Sweet.
Trusted AI is especially crucial in regulated industries
Leaders in highly regulated industries like financial services and health are cautious about how to implement AI without sacrificing customer trust and safety. To ensure compliance with regulations, these industries must explore use cases that don’t put data privacy and security at risk.
For banking, this might include using automation to make routine america phone number list tasks and processes more efficient, such as transaction disputes or using AI to power more intelligent chatbots that personalize customer interactions and improve self-services.
For health providers, AI can help them segment patient populations more efficiently so they can send more personalized, timely communications like tips for diabetes patients to lower blood sugar when their glucose levels spike.
Benioff said recently that generative AI could be “the most important technology of any lifetime.” For sure, generative AI could make e-commerce, which forever changed consumer behavior, industries, and business models, look like small potatoes. McKinsey recently estimated that AI’s impact on productivity could add trillions, annually, to the global economy. But we must have a high degree of trust in these systems for that to happen.
“Trustworthy AI matters,” KPMG wrote in its survey. “If people perceive AI systems as trustworthy and are willing to trust them, then they are more likely to accept them.”