[Demo] Deploying AI doppelgangers to de-identify user research recordings
Summary
Under biometric privacy laws like BIPA and CCPA, user research recordings containing users’ faces or voices can put your company at risk for lawsuits and fines. Legal departments are increasingly requiring more stringent redaction, and in some cases banning recording outright. This comes at a high cost for UX teams who are already being asked to do more with less, as losing access to recordings can increase duplicative research effort and reduce the accuracy of results. AI offers new solutions for UX teams who want to keep research recordings longer without violating biometric privacy laws. In this demo, we’ll show how we used off-the-shelf tools to intelligently redact users’ voices, faces, and bodies in research videos. By removing biometric identifiers, you can compliantly archive research recordings indefinitely, enabling your team to mine them for insights for years to come.
Key Insights
-
•
Biometric privacy laws increasingly restrict recording and retaining user faces and voices in UX research, risking large fines.
-
•
Replacing users with AI-generated avatars preserves the richness of user recordings while protecting privacy.
-
•
Wonder Studio can segment and animate a user's body and face with a 3D avatar fully automatically, simplifying production.
-
•
11 Labs technology enables seamless voice replacement using AI-generated speech in user research videos.
-
•
Replacing the entire body, not just the face, mitigates risks from distinctive identifying marks like tattoos and future privacy laws.
-
•
Traditional redaction methods like blurring or keeping only transcripts are either insufficient or lose valuable context.
-
•
Current AI tools have usage limits, require legal reviews, and sometimes restrictive licensing affecting enterprise use.
-
•
Hosting AI models in-house offers more data control but adds technical complexity compared to cloud-based solutions.
-
•
Using synthetic avatars raises complex ethical questions about authenticity, identity representation, and users' rights to be forgotten.
-
•
Legal risk tolerance varies, so negotiating with legal teams is essential to implement AI avatar redaction in research workflows.
Notable Quotes
"User recordings are your most valuable asset but have become riskier due to biometric privacy laws."
"Even if you’re not doing facial recognition, storing face and voice data is under growing legal scrutiny."
"Blurring user faces loses context and doesn’t address voice privacy, making it an inadequate solution."
"Wonder Studio automatically segments actors, maps their movements to a 3D model, and renders a synthetic avatar video."
"Replacing the entire body with an avatar future-proofs against unanticipated identifiers like tattoos or moles."
"DeepFakes can look too realistic and might introduce new privacy risks if donor faces come from real people."
"Processing limits and licensing terms currently restrict how much video and audio these AI tools can handle."
"Ultimately, AI avatar tools offer UX teams options to keep recordings while meeting legal compliance."
"If you can’t see a human in a video, how do you know the entire conversation wasn’t fabricated?"
"Synthetic duplicates living on after data deletion raise ethical questions about users’ right to be forgotten."
Or choose a question:
More Videos
"Federal funding does not provide food for participants, so we had to plan accordingly to make participation irresistible."
Alexia Cohen Adriane AckermanIncreasing Health Equity and Improving the Service Experience for Under-Served Latine Communities in Arizona
December 4, 2024
"We typically design for the perfect path. Do you design and plan and test for the unexpected path?"
Marc Majers Tony TurnerInterrupted UX - Add A Dose of Reality To Usability Testing
March 11, 2022
"Design thinking has helped raise awareness but often lacks the depth of design practice which requires dedicated craft."
Jorge ArangoDesign as an Antidote to VUCA
May 9, 2019
"Engineers spending 40 to 50% of their time building prototypes for research studies don’t have launch metrics to show for promotions."
Brenna FallonLearning Over Outcomes
October 24, 2019
"The Shakers patented clever affordances like chair buttons that let you rock without damaging wooden floors."
Daniel GloydWarming the User Experience: Lessons from America's first and most radical human-centered designers
May 9, 2024
"Multiple payment providers aren’t just a feature; they’re an accessibility lifeline for people who can’t read or reach their credit card easily."
Sam ProulxOnline Shopping: Designing an Accessible Experience
October 3, 2023
"Every student has unique strengths that should be recognized and nurtured."
Kristin SkinnerFive Years of DesignOps
September 29, 2021
"We’re not going for perfection. We’re going for excellence and change."
Denise Jacobs Nancy Douyon Renee Reid Lisa WelchmanInteractive Keynote: Social Change by Design
January 8, 2024
"Double screening combined with a quick pre-session call is my go-to method to verify participants are genuine."
Roberta Dombrowski Lianna Aduana5 Reasons to Bring your Recruiting in House
September 30, 2021
Latest Books All books
Dig deeper with the Rosenbot
How should designers prepare for AI-driven cognitive agents that understand emotional personas?
How do innovations from lived experts challenge assumptions about community demands?
How do organizations integrate customer feedback, survey data, and interview transcripts into a single research repository?