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KPMG: consumers ready to turn to Gen AI for relationship advice

by Fiona Briggs
February 14, 2024
in Data
Reading Time: 2 mins read

More than a third of consumers would consider turning to generative AI, or Gen AI, for relationship advice, new figures from KPMG in the UK reveal on Valentine’s Day.

In a new poll, 35% of respondents said they would accept a helping hand from these technologies, including asking for advice on chat-up lines, suggestions for date locations, or guidance on how best to propose.

Results from Gen AI are not always correct; it can suffer from ‘hallucinations’—incorrect or misleading results generated by the model for an unknown reason. So, when respondents were questioned if they would ask a Gen AI tool for relationship advice if they knew the technology was highly accurate, the number of people happy to do so rose to 44%.

The 35-44 age group was the most likely to seek assistance from Gen AI, with 39% stating that they would ask it a question about this topic.

Some consumers (12%) said they would prefer to ask a Gen AI tool for relationship advice over a person, and almost a quarter (22%) stated that they would give equal favour to guidance from either a person or a bot.

The data also shows that people trust these tools enough to enter private information, with over half (56%) saying they were likely or very likely to ask a Gen AI tool a personal question they wouldn’t ask a friend or family member.

On the other hand, others are more worried about the risks of this technology, with 47% of respondents concerned that confidential information entered into this type of AI could be reshared.

Commenting on the findings, Ian West, head of technology at KPMG UK, said: “Gen AI presents an opportunity for organisations in the dating and relationship industry to support activities such as filtering fake accounts and better partner matching. However, businesses need to be wary that consumers are prepared to trust Gen AI tools with very personal information and that the right consideration should be given for how to use their data responsibly, ethically, and safely.”

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