Deepfake Detector
With the rise of AI tools accessible to everyday users, that also means an increase in scams. McAfee is enabling our users to track fake audio and spot fake media while browsing online.
A new feature in the AI space
We wanted to give our users the opportunity to spot video scams right on their favorite social media - both on mobile and their computer.
The Browser experience
With our McAfee extension, users can now easily excess and try our AI deepfake detection. They are also empowered - they can manage the feature and customize it for their needs.
Once Deepfake Detector is on, the process is pretty simple. If the video contains fake audio we flag it and notify users with a banner. Users can click on the banner to see more details in the feature side panel.
The design process
As a team we spent 3 intensive weeks coming up with designs for both browser and mobile. There were many challenges including road blocks from engineering team and timelines from executives, but as the lead designer I focused on a simple and user-centric experience to deliver on time.
During the concept stage, I worked with engineering team to create user flows which included entry points into each user journey as well as a breakdown of touch points during which we would initiate the AI analysis of both video and audio in browser.
Wire-framing came in several iterations and brainstorming. Main decision making included placement of AI detection banners and overall look and feel of UI.
Our Research Findings
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This is a really cool feature. I'm not sure how it works yet but I like getting the banner tag that notifies me quickly if it's a fake video.
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As someone who works for a social media management company I could see us using this. It's insightful and seems legitimate.
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Interested in learning more about how McAfee flags the video for fake audio. Maybe some DIY interactions would help.
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I was hesitant about having AI detection on my mobile phone but McAfee is very clear about what permissions I give and when they access my data.
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If we create a flawless video scam detection experience as part of our existing browser extension, users will be more likely to interact with the feature. Having easy access to the AI feature settings in the browser navigation would also help reduce drop off rate.
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Our collective goal was to design an intuitive video scam detection feature that would flag deepfakes and help users stay protected online. Our business goal was to capture a percentage of new users who are more tech savvy and searching for AI powered protection.
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A minimalist, and transparent design is better than confusing the user with AI jargon to impress them. The intent was to educate users on deepfakes, but also to make the detection easy. A banner tag overlayed on the video playing would quickly alert users of a potential video scam.
