Artificial intelligence is quietly reshaping how homes are valued, mortgages are approved, and properties are bought and sold. Yet unlike other critical technologies, AI development has largely escaped the kind of international regulation that might protect consumers from its risks. That gap matters more to your wallet than you might think.
The case for global AI governance has never been stronger. When the world's leading tech powers compete to build the most advanced systems without agreed safety standards, the consequences ripple far beyond Silicon Valley. They reach into mortgage brokers' offices, property valuation algorithms, and the conveyancing software used by your solicitor.
How AI already shapes your property decisions
If you've applied for a mortgage recently, there's a reasonable chance an AI system helped assess your creditworthiness. Property valuations increasingly rely on machine learning models that analyse comparable sales, location data, and market trends. Some conveyancing platforms use AI to flag legal risks and speed up transactions. Estate agents use predictive analytics to forecast which properties will sell fastest.
These tools can be genuinely useful. They process vast amounts of data quickly, spot patterns humans might miss, and sometimes make the buying or selling process faster. The problem isn't AI itself. It's that these systems operate in regulatory grey zones, with little transparency about how decisions are made and limited recourse if something goes wrong.
Current UK market conditions make this particularly relevant. With the Bank of England base rate sitting at 3.75% and average two-year fixed mortgage rates at 6.6%, buyers are already under financial pressure. If an AI system incorrectly rejects a mortgage application or undervalues a property, the financial consequences are real and immediate.
The risks of an unregulated technology
Without international agreement on AI governance, three specific problems emerge for property consumers.
First, there's bias. An AI system trained on historical lending data might perpetuate discrimination, approving mortgages more readily for certain postcodes or demographics whilst rejecting others based on patterns that reflect past unfairness rather than genuine risk. Sellers in undervalued areas face systematically lower automated valuations. Buyers from under-represented groups face unexplained rejections.
Second, there's opacity. Most AI systems used in property work as "black boxes". A lender's algorithm might reject your application, but neither you nor the lender can fully explain why. You have limited grounds to appeal or challenge the decision. This matters when UK average house prices sit at £268,132 and a single rejected application can delay your life plans by months.
Third, there's competition without standards. When countries race to develop AI without agreed safety rules, firms operating globally face competing requirements. The easiest solution? They often default to the least stringent standard, which disadvantages consumers in more protective jurisdictions.
What international agreement would change
A genuine accord between leading tech nations wouldn't ban AI or slow innovation. Rather, it would establish baseline standards: transparency requirements so you understand how algorithms affect your mortgage or valuation, fairness checks to detect and correct bias, and accountability mechanisms when AI systems make errors.
Such agreement would also create pressure on financial institutions to test and validate their AI systems more rigorously before deploying them. Currently, a conveyancing platform or property valuation tool can launch with minimal external audit. Agreed standards would require independent testing, especially for systems that affect lending decisions worth hundreds of thousands of pounds.
For mortgage applicants, this means better explanations when applications are declined and realistic appeal processes. For sellers, it means property valuations are less vulnerable to algorithmic quirks. For everyone buying or selling, it means the software handling your transaction has been checked by someone other than its creators.
What you can do now
International agreements take time to negotiate and implement. In the meantime, consumers shouldn't wait passively. When applying for mortgages, ask lenders to explain their decision-making process and whether AI was involved. Request human review of automated valuations if something seems significantly out of line with comparable properties. When using conveyancing services, check whether their platforms use AI and what safeguards exist.
Pressure from informed consumers actually accelerates industry-wide change. Lenders and property platforms that can clearly explain their AI systems gain competitive advantage. Those that can't face reputational risk. This feedback loop incentivises better practices faster than waiting for regulation.
The broader point is simple: AI will continue reshaping property transactions whether we like it or not. The question is whether that transformation happens transparently, fairly, and accountably, or in the shadows. International governance won't solve every problem, but it would establish the baseline safeguards that protect your interests when you're making one of life's biggest financial decisions.
