According to AI expert VerbaFlo and the purpose-built student accommodation (PBSA) provider Homes for Students, a significant number of businesses could misinterpret Article 50 of the EU AI Act, with those in the property and rental living sector particularly at risk. The new Article, effective from 2 August, aims to provide a framework for AI transparency and applies to businesses whose AI usage fits a defined scope, including systems that directly interact with individuals or create synthetic content across Europe.
Given the property sector’s evolving use of AI in areas such as chatbots, marketing data analysis, and procurement, the interpretation of this article is likely to be complex for real estate stakeholders. This complexity arises especially for those who have only recently adopted AI practices. To address this, VerbaFlo and Homes for Students have developed a joint whitepaper outlining guidance and compliance strategies to promote best practices within the industry.
The Whitepaper Initiative
The whitepaper, titled ‘The EU AI Act, Article 50: What Businesses Need to Know Right Now’, examines the operational, marketing, and resident engagement implications of Article 50 for the sector. The document draws on the combined experiences of VerbaFlo as an AI provider and Homes for Students as a residential operator. Sayantan Biswas, Founder and CEO of VerbaFlo, emphasised that AI transparency should be approached as a design discipline, integrated with user experience rather than treated merely as a compliance checklist.
He stated, “Whilst all businesses need to understand and comply across Europe, the property sector in particular are relatively recent adopters of AI when it comes to its practice and implementation. We felt that as a leader in these practices, we are responsible to help shape the thinking around it.” This collaboration has resulted in a practical resource aimed at helping businesses navigate compliance and avoid penalties.
Compliance Responsibilities
The whitepaper identifies three core requirements deemed essential for bridging the gap between compliance in principle and in practice under Article 50. One significant aspect highlighted is the division of responsibility between the organisation that develops an AI system and the one that deploys it. The document clarifies where each responsibility lies within a typical marketing and leasing stack, cautioning marketing teams not to assume that the AI vendor bears full compliance simply because they built the underlying system.
According to the findings, it is the deploying organisation that holds the primary responsibility. This necessitates fostering strong relationships built on trust between marketing and leadership teams, both internally and with external third-party suppliers. David Chadderton, Chief Marketing Officer at Homes for Students, noted, “Article 50 isn’t an abstract legal milestone – it’s a practical line in the sand for how we use AI with our customers. As marketing teams, we don’t just have a compliance obligation, we have a responsibility to be honest about when AI is involved and what it’s producing.”
Enhancing the Customer Experience
In the context of PBSA and Build to Rent, this means ensuring transparency when applicants interact with a chatbot, clearly labelling AI-generated visuals that resemble photography, and maintaining the integrity of AI-generated content. The organisations that view transparency as integral to the customer experience, rather than as a mere box-ticking exercise, are likely to build and maintain trust as AI becomes increasingly integrated into the leasing process.
The whitepaper further argues that disclosure obligations should be assessed based on how an AI system is experienced by residents, rather than solely on its stated functions. Design elements that enhance the natural feel of an AI system—such as voice and persona—can strengthen the underlying disclosure requirements. Moreover, AI-generated visual content must be labelled according to standards that exceed mere technical metadata.
High-Risk AI Activities
The whitepaper highlights AI applications in creditworthiness assessments and guarantor referencing, typically supplied by third parties, as falling within the high-risk category under the Act, separate from Article 50. The authors urge operators to address classification questions well ahead of the framework’s application date, rather than postponing them as a future concern.
Overall, the document delineates lower-risk activities that marketing teams are accustomed to managing, thanks to existing practices and compliance with regulations such as GDPR, alongside the higher-risk activities related to operational teams in data collection and processing. Crucially, it delineates where compliance obligations lie, contrasting them with the broader guidance provided by the framework.