VEC told to evaluate e-voting system for disabled
The Victorian Electoral Commission (VEC) has been instructed to closely evaluate how it handles electronically assisted voting (EAV) for voters with disabilities, after an audit of the recent state election showed very low levels of participation.
For the election, the VEC implemented vVote, a modified EAV system for voters with motor impairment, no or low vision and limited English proficiency.
The vVote system was available at 25 early voting centres, as well as in London, where it was used to facilitate overseas votes by Australians located in the city at the time. But it was not available on election day.
A report into the election by the state’s Auditor-General shows very low levels of utilisation — only 1121 electronic votes were processed, and 87% of these were cast in London.
A survey of voters using vVote found that participants had high levels of trust in the system but that the process took longer — particularly for the vision impaired — and was confusing for some voters.
In addition, the audit finds that expanded use of vVote in its current form would pose infrastructure and staff training related issues.
It notes that the VEC has already advised parliament to amend the legislation to allow remote voting by voters currently eligible to use the vVote system.
“In the event that these amendments are not made, VEC will need to determine whether to further refine vVote, provide an alternative EAV system or abandon EAV altogether, the audit states.
“A robust evaluation will assist future decisions about accessible voting technologies.”
Agentic AI could be Australia's productivity superpower if we seize it
Government agencies have an opportunity to lead by example and embrace AI technology to solve...
Policy to practice: simulations can bridge the government AI skills gap
While the private sector seems to be embracing AI 'smarts', many government employees...
Interview: Phil Zammit, Avaya
For our summer Leaders in Technology series we are discussing AI, system complexity, skills and...