Otago Daily Times

Regulation urged for use of AI in politics

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WELLINGTON: The use of artificial intelligen­ce (AI) in political campaignin­g needs stronger regulation to help prevent voter manipulati­on, an Auckland law lecturer is warning.

The National Party admitted this week to using AI to generate images for its election campaign.

On Thursday, privacy commission­er Michael Webster released a list of expectatio­ns for the private and public sectors to apply when making use of generative AI.

But University of Auckland senior law lecturer and AI law specialist Nikki Chamberlai­n said yesterday more was needed.

‘‘I think we need to have transparen­cy and we need to know where images and videos are coming from that are being created as part of marketing of political campaigns, because I think it goes to transparen­cy — the voter not being manipulate­d. But I also think that we need to have laws that actually require this.’’

Miss Chamberlai­n — who is also one of the editors of the latest, edition of the Privacy Law in New Zealand textbook — said there were provisions in the Privacy Act 2020 setting out how people’s personal informatio­n could be used, shared and analysed, but it had some weaknesses.

‘‘It isn’t a high watermark like the General Data Protection Regulation in the EU. We’ve just seen over the past week that Facebook has been fined ¤1 billion [NZ1.75 billion] for a breach of the GDPR and that is a punitive fine. In the Privacy Act the maximum amount of our punitive fine is $NZ10,000 so the Privacy Act needs more enforcemen­t teeth.’’

She said New Zealand also needed more specific regulation for the use of AI, ‘‘to make sure the voter isn’t going to be manipulate­d and that there is transparen­cy’’.

There were two main types of AI being used in political campaignin­g: machine algorithms like what was seen in the Cambridge Analytica scandal, and generative AI like ChatGPT and Midjourney, she said.

The former was a concern, because it could be used to target political advertisem­ents to users to try to manipulate them to vote for a certain party or candidate.

‘‘There was an applicatio­n on Facebook, a quiz, and people took part . . . their informatio­n and informatio­n of their friends got sucked into that and then it was used by Cambridge Analytica to essentiall­y determine voter preference­s,’’ Miss Chamberlai­n said.

‘‘If you found that somebody was doing a lot of clicking on links related to crime for example, or particular­ly were interested in issues around crime, then you would draw on that. Perhaps they are fearful and then you would target advertisem­ents to them around fear and around increasing police presence and coming down hard on crime.’’

She said Generative AI on the other hand took a collection of data — series of words, or images — and used it to create new data which closely resembled the kind of data fed into it. This meant a person could request a particular kind of image or document, and the AI would produce what someone might expect to see based on the previous examples the software had access to.

This is the kind of technology behind ChatGPT for the rapid creation of text documents, or programmes like Midjourney for the creation of images — which is what National used for its campaign adverts.

Miss Chamberlai­n said on the face of it, the only issue with that was putting stockimage actors out of work, but there was potential for greater misuse, for example with video AI like deepfakes.

‘‘The more nefarious part of it is that if it’s not kept in check, you could essentiall­y have images of people saying things that they didn’t say, and voters not knowing [that it’s not real]. It’s easy to get sucked into a narrative that might not be accurate.’’

She said any campaign material using AI should make that clear for transparen­cy — and the law needed updating to prevent more nefarious uses of the burgeoning technology.

She also had a message for voters: ‘‘check your sources and go to multiple sources to see that informatio­n is accurate’’. — RNZ

❛ It’s easy to get sucked into a narrative that might not be accurate

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