AI: The Bridge Between Data Privacy and Consumer Transparency

Christian J. Ward
January 28, 2024
4 mins
AI as an active enforcer of business data transparency.
AI as an active enforcer of business data transparency.

In the world of digital marketing, one thing is certain—privacy and transparency are not just niceties, they're necessities. Consumers are becoming increasingly aware of their digital footprint and the value their data holds for businesses. If we've learned nothing else in recent years, it's this reigning mantra: "If the product is free, then the product is me." As data and AI experts, we must understand that when we're promoting data-rich products, we're really selling an audience, a responsibility that demands ethical conduct and transparent handling of data.

In keeping with this ethos, the next generation of artificial intelligence (AI) promises to transform the way businesses navigate the intricate web of data privacy. As stated on the Rankable podcast, AI is poised to enforce transparency mandates and bridge the gap between data privacy and consumer transparency. Rather than passively observing, AI will play an active role in holding businesses accountable for their data practices.

One sobering reality is that most judges, legislators, and regulators think analogistically, not digitally. They interpret laws from a perspective steeped in human interactions and traditional business models. Consequently, AI's role as an intermediary between businesses and their consumers will be put under the microscope. Just like any employee who interacts with the public needs to be properly trained to respect individual rights, so too must AI be built to uphold these same standards. Under agency theory, if businesses fail to ensure their AI systems act as a responsible agent, they may find themselves on the wrong side of a lawsuit.

AI's role in transparency also extends to facilitating open communication between businesses and consumers about their data sharing practices. In a future not so far away, we envision consumers asking their AI devices, "What data did you just share?" and receiving an immediate, easy-to-understand response. Any attempts to hide this information will certainly raise eyebrows among regulators. Hence, AI's capacity for openness combined with conscientious application protects companies from data privacy infringements.

While data privacy measures have surfaced frequently in debates, their waves have often been stifled before reaching the shore. But as AI continues to permeate businesses and homes alike, it carries the potential to push the privacy wave ashore. By using AI as a tool to uphold transparency, businesses can ward off potential legal quagmires and build substantial consumer trust. And it's this trust that can positively impact a company's survival and success in the digital era.

Christian J. Ward
Since launching his first data company in 1999, Christian Ward has focused his career on data strategy. He co-founded Jaywalk Incorporated, later acquired by the Bank of New York, and two additional data startups in the past 25 years. Today, as Yext's Chief Data Officer, he helps customers and partners turn data into AI and search opportunities. Ward co-authored the #1 Amazon bestseller, "Data Leverage," and has held executive data roles at Arizent, Data Axle, and Thomson Reuters. Ward's insights appear in top publications and industry conferences on data strategy and AI.
Christian J Ward
© 2024 DATABILITY, LLC. All right reserved.
Brand logos for demonstration purposes only.