John Lewis has unveiled a groundbreaking AI tool to verify the age of customers purchasing knives online, marking a shift in how retailers address legal requirements for the sale of bladed items.
According to the AI provider, their AI (which estimates the age of the user from their image) is “Better Than Human Judgement”.
Why Is John Lewis Introducing AI for Age Verification?
The decision to implement an AI-driven facial age estimation system stems from a broader effort to prevent underage access to knives amidst increasing scrutiny of age verification processes. This move comes as part of the retailer’s commitment to safety and compliance with government regulations while reintroducing online knife sales after a 15-year hiatus, against the backdrop of high-profile cases, such as the tragic murders linked to underage perpetrators purchasing knives online, which have reignited debates about stricter controls on bladed items.
John Lewis stopped selling knives online in 2009 due to the difficulty of verifying buyers’ ages effectively. By 2022, the retailer went a step further, removing cutlery knives from its online catalogue. However, the retailer has now reintroduced these products, citing confidence in the efficacy of AI-powered age estimation technology to meet strict legal and ethical requirements.
As a spokesperson for John Lewis recently explained: “We take safety incredibly seriously, and in line with strict government guidelines, have added an additional layer of security when customers purchase knives online.”
How Does the AI Tool Work?
The facial age estimation technology, developed by British company Yoti, analyses a photograph of the customer’s face to determine whether they are over 18. This streamlined process occurs at the point of purchase and takes only a few seconds. Customers are prompted to enable their device’s camera and position their face within a frame on the screen, akin to using a passport photo booth.
The AI system then estimates the individual’s age and immediately deletes the image once verification is complete. If the system determines the customer is over 18, they can proceed to checkout. For those who do not pass this initial check, an alternative verification method is available, allowing customers to upload a photo of their ID and a selfie to confirm their identity. Accepted forms of ID include passports, driving licences, and other official identification cards.
In addition to this online verification, a second layer of age checking occurs at delivery. For example, Royal Mail or DPD couriers require customers to present valid photo identification, such as a passport or driving licence, before handing over the parcel. If the recipient cannot provide proof of age, the item is returned to John Lewis, and a refund is issued.
What Technology Powers the Tool?
Yoti’s AI age estimation system relies on advanced machine learning algorithms trained on millions of images paired with verified ages. The technology does not rely on facial recognition, meaning it does not match the scanned face to a database of images or identities. Instead, it estimates age based on facial characteristics and deletes the image immediately after processing.
Better Than Human Judgement, Says Yoti
Yoti claims the system offers superior accuracy compared to human judgment. For example, for individuals aged 13–24, the tool estimates age within a margin of 1.3 years. The tool’s accuracy rate for correctly identifying 13–17-year-olds as under 18 is an impressive 99.3 per cent, with negligible variance across different skin tones, according to a 2023 white paper. The system also incorporates anti-spoofing technology to prevent attempts to bypass the check using photos, masks, or deepfake videos.
The Benefits of the System
The reintroduction of online knife sales by John Lewis demonstrates the potential of AI to address regulatory challenges while improving customer convenience. For the retailer, the technology enables compliance with laws requiring age verification at the point of sale and delivery.
The integration of this technology is expected to reduce the administrative burden associated with manual ID checks while offering customers a seamless and fast checkout process. Also, the system helps protect public safety by reducing the risk of knives falling into the hands of minors.
Commander Stephen Clayman of the National Police Chiefs’ Council was recently quoted (in The Times) praising the initiative, saying: “We welcome technology which can help to ensure knives do not end up in the wrong hands. Responsible retailing is a key element in this, and innovations like this are a step in the right direction.”
Privacy-Focused
One other key compliance benefit of the tool is that it’s also privacy-focused, as no images or personal data are stored, shared, or used for further training. This ensures compliance with data protection regulations and alleviates concerns about surveillance.
Challenges and Criticisms
Despite its benefits, the system is not without its challenges. One concern is the tool’s reliance on accurate camera functionality, which may exclude customers who lack access to modern devices or are unfamiliar with using such technology. Customers experiencing technical issues may find the process cumbersome, particularly if they need to switch to the manual ID verification method.
Another issue lies in potential inaccuracies. While the system boasts a high degree of accuracy, its effectiveness diminishes slightly for edge cases, e.g. individuals who appear significantly older or younger than their actual age. Critics have also pointed out that, although rare, the slight variation in accuracy across skin tones highlights an area where further refinement is needed.
Also, broader societal concerns remain about over-reliance on AI in public-facing applications. Privacy advocates, for example, have cautioned against the widespread adoption of AI for age verification, arguing that such systems, while anonymised, may normalise invasive technologies.
A Retail Trend?
It should be noted here that John Lewis is not alone in adopting AI for age verification. For example, Yoti’s technology is already used by social media platforms, alcohol retailers, and other businesses requiring age-restricted transactions. The wider adoption of AI age estimation tools could represent a turning point in retail, enabling businesses to meet regulatory demands while enhancing customer experience.
With the UK government considering stricter regulations on knife sales, including potential requirements for multiple forms of ID, John Lewis’ proactive use of technology may set a precedent for other retailers. As the national conversation around knife crime continues, innovations like this highlight the role of technology in tackling complex societal challenges.
By blending cutting-edge AI with robust checks and balances, John Lewis may have found a way to navigate a path forward in a contentious area of retail, but the journey is far from over. How other retailers respond, and whether customers embrace or resist this technological shift, remains to be seen.
What Does This Mean For Your Business?
By integrating advanced facial age estimation technology into its operations, the retailer has taken a proactive, technology-led approach to tackling what has been, up until now, a complex issue. This initiative has allowed John Lewis to re-enter the online knife market after years of hiatus, balancing customer convenience with security and showcasing the transformative potential of AI in retail.
However, as with any technological innovation, the implementation of such systems raises broader questions. While the facial age estimation tool offers a streamlined and privacy-focused solution, it is not without limitations. Issues such as accessibility for those without modern devices, potential inaccuracies at the margins of the system’s age-detection capabilities, and ongoing concerns about the normalisation of AI in public-facing applications highlight areas for further development and debate.
The integration of a secondary verification step, requiring proof of age upon delivery, ensures an additional layer of security. This dual-layered system strengthens compliance and demonstrates John Lewis’ commitment to responsible retailing. At the same time, it underscores the importance of redundancy in technological systems to account for potential failures or inaccuracies in AI processes.
While this initiative could position John Lewis as a leader in leveraging AI for compliance, it may also signal the beginning of a broader trend within the retail sector. As more businesses explore AI-based solutions for age-restricted sales, a wider conversation about the ethical, practical, and societal implications of these technologies is inevitable. The delicate balance between leveraging innovation for efficiency and ensuring equitable access and fairness will be crucial for widespread acceptance.
John Lewis’ adoption of AI age verification could offer a glimpse into the future of retail. It demonstrates how technology can address pressing regulatory and societal challenges, albeit with some caveats. Whether this approach becomes an industry standard or prompts further refinements in the application of AI remains to be seen, but what is clear is that this marks an important moment in the ongoing evolution of responsible retail practices. For now, John Lewis can say it has set a benchmark, but the effectiveness and reception of this technology will ultimately shape its long-term role in retail. No doubt other retailers will be watching with interest.
