AI Can Kill Voting Fraud, Here's How

Recently, elections finished in the world’s largest democracy, India, a country with 900 million eligible voters. This is the world’s greatest democratic exercise so far - deciding the fate of 2435 parties nationwide, but it is also the most vulnerable exercise yet, especially when you add potential insecurities through additional use of technology.

The use of technology included tracking of the electronic voting machines through GPS, a voter-verified audit trail, a voter helpline and even live monitoring of poll data and much more. Each technology adds multiple points of weaknesses, not only is each technology potentially a vector of attack, but each connection you add between added technology is also a vector of attack making adding one increasingly hard as the system scales.

Another major issue is that other countries may benefit from meddling in the elections of other countries, as is widely-suspected in the notorious American elections back in 2016 where Trump won, but worst comes when a country manages to control the elections of one country, it can do it again for another vote, and again for another until the issue is either fixed or the country is run into the ground. Without a system of verification, you can never tell an election wasn’t meddled in systematically by another country.

If voting a second time ensured your party would come into power, would you do it? I hope not, elections deserve to be as fair as possible, it is a process not a definite answer.

If voting a second time ensured your party would come into power, would you do it? I hope not, elections deserve to be as fair as possible, it is a process not a definite answer.

All these factors add up together to make the general public rightfully so scared of the digitization of the voting system, but different technologies can also fix all the problems other technologies create, and in this case, AI can potentially fix the point of attacks in this system.

Facial recognition is a technology that has become more and more viable and increasingly important due to its upcoming implementation in China combined with their social credit system. Facial recognition is usually painted in a bad light due to there being such a large amount of malicious things oppressing governments can do with them, but in this case, they can be used to match people to the data banks the government has of who has voted to ensure no one can vote twice. If a match occurs, it can be confirmed by a worker and then if the voter confirms the voter has voted before, further action can be taken.

A system similar to this should be implemented in not only India due to its size but every democracy, after any voting process, voters should have the peace of mind and sleep knowing their vote counted and it was a fair process done for the betterment of the country and not something that was manipulated by a malicious third party.