2020 election: Artificial Intelligence has chosen a winner - but there's a catch | The Independent
Category: News & Politics
Via: tig • 5 years ago • 34 commentsBy: Chris Riotta (The Independent)


AI will one day be able to predict the outcomes of the electoral college with near-total precision: it's not a matter of if, but when, according to statistical physicist Hernan Makse
Artificial intelligence has chosen a winner for the 2020 presidential election — but there's a catch.
Hernan Makse is a statistical physicist at City University of New York who runs the Complex Networks and Data Science Lab at the Levich Institute in Manhattan.
His lab uses AI to predict the outcomes of international elections using social media traffic, focusing mainly on Twitter, a platform with over 48 million monthly active users in the US.
"We usually start one year from the election, and then we use that data to train the machine and predict the outcome of the election at the national level," he said in a recent interview with The Independent, noting how AI can now also be used to predict local and state election outcomes after data is organized by geolocation. "Predicting elections is, of course, quite complicated."
The physicist is the CEO of KCore Analytics, an AI platform which hosts live election predictions and has even begun launching efforts surrounding contact tracing for Covid-19. The company uses over one billion mined tweets for each project it launches, according to the KCore Analytics website, and successfully predicted last year's surprise election outcome in Argentina.
Mr Makse was preparing to release KCore Analytics' final predictions surrounding the 2020 presidential elections in the US when we spoke on Monday.
He revealed former Vice President Joe Biden had a strong advantage in terms of the popular vote, according to the AI models his team had trained, but when it came to the Electoral College, "the situation is different".
Whereas the AI models showed Mr Biden with a healthy lead over President Donald Trump in the national vote, by about eight or nine points, Mr Makse said he "has an advantage, but it's very, very small" in the electoral college.
"In fact, it's so small, that we're actually trying to figure out different scenarios," the physicist said. "It's still an open question for us."
In some ways, AI suffers the same flaws as traditional polling and surveying options surrounding elections and political campaign cycles nationwide.
The same voters who live in rural communities and are otherwise unlikely to be reached by a pollster are the same people who do not often access social media platforms like Twitter, Mr Makse said, effectively excluding them from the data.
"In the case of traditional polls, there are certain groups that are very difficult to capture, and they are the ones who will ultimately decide the fate of the election," he said. "The people in rural areas, first of all they do not pick up the phone when they are called for polls, but also they don't use social media, making it very difficult to predict what these people are going to do."
Predicting elections in other countries is a somewhat easier process since the national vote often determines the outcome. In the US, however, machines must be trained to learn different models for the electoral college that coincide simultaneously with the national vote predictions.
Mr Makse said AI models like his are still in the process of learning how to rescale and predict outcomes with sampling biases and other such limits, and that, one day, machines would be able to easily make up for that lack of knowledge.
Whether AI will correctly predict next week's presidential election remains unclear. But one day, AI will eventually be able to predict the outcome of the electoral college in any given scenario, according to Mr Makse: it's not a matter of if, but when.
"The main difference with traditional polling and artificial intelligence is that artificial intelligence is always getting better and better," he said. "Every election is a new data point, even if you didn't get it correct … you put all this information back in the model, and then it learns from every election."

This I can see. The rural vote is very likely favorable to Trump. This indicates how the AI-based methods suffer from the same issue as conventional polling ... getting a representative sample. AI-based methods do not ask people questions so they are not limited by those who will volunteer to answer. But they are limited by those who engage online and even in the USA that represents a skewed sample.
This is going to be interesting. At least we can get that much out of this election.
The rural vote results in Arizona is going to be interesting. Mark Kelly holds a sizable amount of potential liberal Democratic votes in the large metropolitan areas of Phoenix, Tucson, Flagataff and other areas while McSally seems to hold more of the rural areas, which as stated tend to be conservative and/or Republican in makeup. Wonder what said AI makes of that?
Are there more rural or more metropolitan people?
Population wise, it may be a even split which is what makes it interesting.
Yes, technically Trump still has a chance.
The winner will be determined by key votes in key states. The Electoral College was designed to protect and maintain the power of the status quo.
My example is this: Had the plurality of the vote count in 2000 determined the election there never would have been a 911, Iraq War, Homeland Security, Patriot Act, TSA or $150 OIL.
Really, so the Clinton CIA and intelligence community wouldn't have lost the organizing terrorists that entered and exited the US several times before Bush ever took office? I am sure Gore would have been quick to replace them all with his incoming administration./S
As for the rest Democrats judging by how many voted for the Patriot Act and Homeland Security- don't hold your breath.
I love revisionist history. Especially when it is so easily disproven.
As for your argument that the Presidency should be decided by popular vote- try making fly over country's votes worthless. Nothing will end the US faster than removing the voting voice of millions of US citizens.
another factor that will hurt the AI model is social media platform censorship, in order for it to predict accurately it not only has to have the information , it has to have all the information even that which is censored by platforms.
the only social medai i have is the book of face and even then its used only to stay in touch with friends and family , frankly my page is rather boring and dull......unless im being sarcastic and a major Ahole to someone on my friends list ( in a good natured ribbing way of course)
Mark,
The AI doesn't pay attention to social media.
Btw... I learned a new term today! It's called Election Stress Disorder. Do you think that might have to do with social media and a 24 hour news cycle?
maybe i misunderstood the article or am confusing it with another one posted on the site that the AI does comb social media .
as for the ESD, i think it is in full evidence here on the site . and yes i think social media and the 24 /7 news cycle can be blamed , we use to call it election burn out remember?
the point where one just wishes the whole damn thing was over .
Did you see this seed?
It is quite possible that it does not allow for the electoral college unpredictablity, and the other variable factors referred to in the comments above. However, it clearly pays attention to social media.
It's also a platform that aggressively censors pro-Trump content. That seems like a terrible foundation for making predictions about what the American people want politically.
Tacos, the team actually said, they don't know. That they can see the shortcomings of the AI. How is that biased?
They’re trying to make some kind of scientific prediction based on a source known to be intentionally biased. That doesn’t make a lot of sense.
perri i think the point is , for the AI to accurately be predictive ( make a good prediction) all information needs to be input and let the algorhythm do what it was taught , to put in censored or faulty input will effect the algorhythm and thus the prediction in a skewwed manner .
grandpa was alive when computers took upo whole rooms and were very expensive , he said about them , a waste of money , if the information put in was wrong , because it would give you a wrong answer for what you needed , though the way he said it was " you put shit in for information , you will get shit out for an answer thats wrong