AI chatbots are proving to be “inaccurate and evidently prejudiced” when offering voting advice, the Dutch data protection authority (AP) has reported, issuing warnings about a possible risk to democracy just eight days before the country’s general election.
The four chatbots evaluated by the authority “often end up with the same two parties”, irrespective of the user’s question or command, the regulator explained in a analysis released ahead of the 29 October election.
For over 50% of instances, the chatbot suggested either the right-wing PVV of Geert Wilders or the progressive GroenLinks-PvdA led by the ex-EU commissioner Frans Timmermans.
Certain groups, such as the centre-right CDA, “are almost never mentioned”, despite the fact that the user’s input exactly matches the stances of these parties, the report indicated.
The deputy head of the data protection agency, the official Monique Verdier, commented that while AI assistants appear to be smart resources, “as a voting aid, they consistently fail”. Citizens were being steered toward a political group that might not correspond to their political views, she emphasized.
“This immediately affects a fundamental pillar of democracy: the honesty of open and just votes,” Verdier stated. “We therefore warn against using AI chatbots for election recommendations, as their operation is unclear and hard to confirm.”
Netherlands citizens vote on October 29 in an election that will be closely watched across the continent for the showing of the Freedom party.
The right-leaning group of Wilders is ahead in surveys but the lead over the left-wing and centre-right parties appears to be narrowing, with many voters still undecided.
Every significant political faction have ruled out an alliance with the PVV, meaning the runner-up party is most likely to supply the future head of government.
The AP stressed that the bots were not deliberately biased, and that their “identified shortcomings” are a result of the way AI chatbots operate.
A tech strategist with over a decade in AI implementation and digital transformation projects across various industries.
