Machine Suggested, Human Verified: In Search Of AI’s Elusive Trust Factor

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I am an author, independent researcher and speaker exploring innovation, information technology trends and markets. I served as co-chair of the 2023 AI Summit in New York, as well as the 2021 and 2022 Summits. I regularly contribute to Harvard Business Review on AI topics.

How much power are organizations and their leaders will hand over to the machines? Quite a bit, actually – but no one is ready to hand over the keys to their entire operations to artificial intelligence. At issue is the data that fuels AI decisions and actions, as well as concerns around erroneous “black-box” decisions and bias. The motto for business leaders is trust, but verify.

While errors in an email campaign may be negligible, “human oversight is critical in high-stakes industries like insurance, where algorithmic bias or exposure to PII can lead to severe repercussions,” Saiyed adds. For an illustration of the need for human-guided AI interactions, look to the experiences with self-driving cars, says Gill."The driver may trust the AI in the car, but the ability to take over control of the steering wheel when the machine is stuck or when the driver is not comfortable is a must.” Similarly, Gill continues, “a better steering wheel will be required for businesses.

The tagline for AI-enhanced processes should be"machine suggested, human verified," Saiyed says. This requires “clear monitoring roles and transparency in AI models for easy interpretation. Regular audits are crucial to correct errors and biases, while robust feedback mechanisms facilitate continuous improvement.”

 

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