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Data ethics: don’t sleepwalk into a situation that breaks trust

COMMENT The past decade has seen a transformation in the way data is collected and interrogated to inform business decisions. For example, our browsing and shopping habits are dissected by algorithms keen to present us with retail opportunities. As the property sector wakes up to the usefulness and commercial value of data at scale, residential property managers may sleepwalk into a data management situation that could damage trust between managers and customers.

Consider Bob the concierge, who greets you by name, hands you a parcel and knows your cleaner by sight. Trusted Bob is discrete and helpful, finding you a new cleaner when yours quits. But how would you feel if Bob was pocketing kick-backs from that cleaner he introduced? Devious Bob has been using your personal data for profit. He would argue he is just meeting your needs; “you needed a cleaner”. But hidden profits smell and you don’t trust him anymore.

Door entry systems, digital concierges, mobile phone tracking and security cameras with facial recognition allow intelligent buildings to know who is at home. Useful to know vulnerable Mr Miggins is home on the 14th floor when there is a fire. But those same sensors may also inform a data-scraping algorithm that your morning dog walking routine is hasty and offer you dog-walking services. Or a competing package for cleaning or care worker support because your visitors are tracked. Adverts for romantic restaurants and holidays appear on your Facebook account because the security system has clocked you are bringing a new partner home, or divorce lawyers because you are suddenly coming home alone. Perhaps even gym memberships because the lift load sensor has noticed your lockdown bulge.

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