At A Glance
Trustworthy AI depends on AI data governance. Automated systems rely on governed data that is accurate, fresh, consented, and interoperable at every stage. Without governance at the data foundation, organizations lack visibility, accountability and confidence in AI-driven decisions. Responsible automation begins with privacy-first data governance that supports transparency, compliance, and long-term sustainability.Why AI data governance determines trust in automated decisions
AI is reshaping audience strategy, media investment, and measurement. Automated systems now make more decisions at scale and in real time. Trust in those decisions depends on the data that informs them.
AI data governance provides the framework that allows organizations to answer foundational questions like:
- Which information or inputs guided this decision?
- Is the model respecting consumer rights?
- Could bias be influencing the outcome?
- If AI made the wrong call, how would we know?
Without governed data, these questions remain unanswered. AI data governance creates accountability by establishing quality controls, consent validation and auditability before data enters automated systems.
Most organizations are still building their readiness to govern data at scale. Many vendors highlight “fast insights” or “transparent reporting,” but few can support true data governance — the auditability, privacy-by-design, quality controls, and continuous compliance required for responsible AI.
That foundation is where responsible automation begins. And it’s why trust in AI starts with data governance.
Responsible automation begins with governed data
Automation produces reliable outcomes only when data is accurate, current, consented and interoperable. AI data governance makes responsible automation possible by applying controls before data reaches models, workflows, or activation channels.
AI systems may interpret context, predict signals, and act in real time. But no model, logic layer, or LLM can be responsible if the data feeding it isn’t governed responsibly from the start.
This raises a core question: How do we ensure AI systems behave responsibly, at scale, across every channel and workflow?
The answer begins with trust. And trust begins with AI data governance.
Governing the data foundation for responsible AI
Experian’s role in AI readiness begins at the data foundation. Our focus is on rigorously governing the data foundation so our clients have inputs they can trust. AI data governance at Experian includes:
By governing data at the source, we give our clients a transparent, accurate, and compliant starting point. Clients maintain responsibility for bias review within their own AI or LLM systems — but they can only perform those reviews effectively when the inputs are governed from the start.
This is how AI data governance supports responsible automation downstream.
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Privacy-by-design strengthens AI data governance
Privacy gaps compound quickly when AI is involved. Once data enters automated workflows, errors or compliance issues become harder, and sometimes impossible, to correct. AI data governance addresses this risk through privacy-first design.
Experian privacy-first AI data governance through:
- Consent-based, regulated identity resolution
- A signal-agnostic identity foundation that avoids exposing personal identifiers
- Ongoing validation and source verification before every refresh and delivery
- Compliance applied to each delivery, with opt-outs and deletes reflected immediately
- Governed attributes provided to clients, ensuring downstream applications remain compliant as data and regulations evolve
Experian doesn’t govern our client’s AI. We govern the data their AI depends on, giving them confidence that what they load into any automated system meets the highest privacy and compliance standards.
Good data isn’t just accurate or fresh. Good data is governed data.
How AI data governance supports responsible automation at scale
With AI data governance in place, organizations can build AI workflows that behave responsibly, predictably, and in alignment with compliance standards.
Responsible automation emerges through four interconnected layers:
Together, these layers show how data governance enables AI governance.
AI integrity starts with AI data governance
Automation is becoming widely accessible, but responsible AI still depends on governed data.
Experian provides AI data governance to ensure the data that powers your AI workflows is accurate, compliant, consented, and refreshed with up-to-date opt-out and regulatory changes. That governance carries downstream, giving our clients confidence that their automated systems remain aligned with consumer expectations and regulatory requirements.
We don’t build your AI. We enable it — by delivering the governed data it needs.
Experian brings identity, insight, and privacy-first governance together to help marketers reach people with relevance, respect, and simplicity.
Responsible AI starts with responsible data. AI data governance is the foundation that supports everything that follows.
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About the author
Jeremy Meade
VP, Marketing Data Product & Operations, Experian
Jeremy Meade is VP, Marketing Data Product & Operations at Experian Marketing Services. With over 15 years of experience in marketing data, Jeremy has consistently led data product, engineering, and analytics functions. He has also played a pivotal role in spearheading the implementation of policies and procedures to ensure compliance with state privacy regulations at two industry-leading companies.
FAQs about AI data governance
AI data governance is the framework that manages data quality, consent, compliance and auditability before data enters AI systems.
AI decisions reflect the data used as inputs. Governance provides transparency, accountability and trust in automated outcomes.
AI data governance does not eliminate bias in models. It provides governed inputs that allow organizations to identify and address bias more effectively.
Privacy-first governance applies consent validation and compliance controls before data is activated, reducing downstream risk.
Organizations govern their AI systems. Data providers govern the data foundation that feeds those systems.
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Are Traasdahl, CEO and founder of Tapad, the leader in cross-device marketing technology and now a part of Experian, has been named Founder of the Year by the Global Startup Awards. The Global Startup Awards' Founder of the Year Award recognizes an individual that has pushed the boundaries of technology to empower new innovations and ideas. The Global Startup Awards places each year's regional category winners against each other to determine whose achievements stand out from the rest of the startup ecosystem through nomination, voting and jury evaluation. In May 2016, the Nordic Startup Awards named Traasdahl Founder of the Year. "Are is a force of nature and his creativity and passion know no boundaries, it seems," said George Tilesch, Global Startup Awards juror and U.S. managing partner of Innomine Group. "Extra kudos for the mentoring work and the Norwegian superfund plans. Are knows giving back is of the utmost importance." "Are is a superstar within the Norwegian startup ecosystem," said Kim Balle, founding partner and CEO of the Global Startup Awards. "From the jury feedback I could see that not only are his impressive achievements the reason for their rating, but also his focus and ability to give back to the startup scene played an important factor in him winning the category." "It is an enormous honor to be named Founder of the Year by the Global Startup Awards," said Traasdahl. "I am so committed to fostering entrepreneurship both at Tapad and throughout the startup space. This win is a remarkable bookend for a stellar year that began with our acquisition by the Telenor Group and continued with best-in-class product innovation, superior solutions for our clients and our Propeller Program that is so dear to my heart." Tapad's Propeller Program hosts five early-stage companies at Tapad's New York headquarters for one year to mentor them through global expansion. The participants of this inaugural program come from Traasdahl's native Norway. For more information on the Global Startup Awards, please visit: http://www.globalstartupawards.com/#gsa. Contact us today
NEW YORK, Nov. 29, 2016 /PRNewswire/ — For the second consecutive year, Tapad, part of Experian, has been listed among Deloitte's Technology Fast 500™, a ranking of the 500 fastest-growing technology, media, telecommunications, life sciences and energy tech companies in North America. Tapad, number 147 on the 2016 Deloitte list, is the leading provider of unified, cross-device marketing technology solutions. "It is an honor to once again be recognized by Deloitte for our growth and momentum, particularly given the stature of the other technology companies on the list," said Are Traasdahl, founder and CEO of Tapad. "Our product innovation, particularly in TV analytics and measurement, is a major contributor to our progress. I'm extremely proud of our hard-working, talented team for continually executing at such a high level." "Today, when every organization can be a tech company, the most effective businesses not only foster the courage to explore change, but also encourage creativity in using and applying existing assets in new ways, as resourcefully as possible," said Sandra Shirai, principal, Deloitte Consulting LLP and U.S. technology, media and telecommunications industry leader. "This ingenious approach to innovation calls for the encouragement of curiosity and collaboration both within and outside the office walls." "This year's Fast 500 winners showcase that when organizations are open to diverse perspectives and insights, they are able to create an environment for their employees and customers to see the possibilities and ingenious solutions that might lie ahead," added Jim Atwell, national managing partner of the emerging growth company practice, Deloitte & Touche LLP. "Entrepreneurial environments foster change and innovation within businesses, and we look forward to watching these companies continue to drive change across all sectors." Contact us today
Distribution via LiveRamp enables seamless cross-device customer experiences through more platforms NEW YORK, Nov. 15, 2016 /PRNewswire/ – Tapad, now part of Experian and the leading provider of unified cross-device marketing technology solutions, today announced an expanded partnership with LiveRamp™, an Acxiom® company and leading provider of omnichannel identity resolution, to make the proprietary Tapad Device Graph™ accessible beyond Tapad-hosted direct integrations. Through LiveRamp, Tapad's Device Graph Access now extends to more than 400 ad tech and mar tech platforms. Tapad's Device Graph™ enables marketers to understand, monetize and measure consumer engagement across all digital channels, and Tapad's unified consumer view is recognized as one of the most accurate, scalable cross-device solutions in the market today. Through the expanded partnership with LiveRamp, the Tapad Device Graph can be distributed to the hundreds of platforms used to reach consumers on digital channels and measure campaign performance – even as devices are added daily to Tapad's extensive graph. "Increasingly, marketers want access to cross-device targeting and measurement capabilities within their preferred platforms," said Anneka Gupta, chief product officer of LiveRamp. "Our expanded partnership makes it easy for marketers to access Tapad's graph through the rapidly growing set of integrations available in our partner ecosystem." This is the latest of several initiatives between the two technology platforms designed to make the integration of cross-screen platforms seamless, privacy-safe and easy to use for dynamic and engaging marketing efforts. "During the past year, Tapad has expanded its global presence and rapidly grown its data business – Tapad Coral – doubling the number of companies integrating our device graph into their platforms and growing our annualized run rate by 210%," said Pierre Martensson, GM of Tapad Coral and APAC. "Our expanded partnership with LiveRamp positions us to meet the increased demand for Tapad Device Graph Access and enable new platforms to apply our graph with unprecedented speed." Contact us today