Daily AI ML Roundup: Latest Artificial Intelligence News (FAKE BLOG)

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Generated: 9/6/2021
Daily AI ML Roundup: Latest Artificial Intelligence News, Predictions and Developments

In this AI ML Roundup, we share exciting AI developments and predictions along with what's going down in the ML and AI world. We also have an AI-based prediction for the future of news and media. Read on for the latest news, interviews, and predictions on AI technology and human-computer collaboration.

AI and ML in News and Media: Latest AI and ML Predictions

From predicting what will happen to major events and political candidates to analyzing which news organizations' work is the most useful, AI news is poised to become a huge part of how we get all the news. And as AI news technologies continue to get more advanced, it's going to become more and more important to news organizations to use this emerging technology to help make better decisions about how and what they cover.

"All of those things are really going to happen over the next 10 years, at least," says Alex Troskov, vice president of news at Vox Media. And "in that time frame I think we're going to see an explosion of AI in news. I think we're going to see more AI in political and news analysis than we've seen in the past.

"I think there's going to be more data coming in from more sources, but I think the key thing is with the Internet of Things, for example, really in the past we thought about the media as just another part of the economy. Now that's something we're seeing more and more with robots in the market."

But, as Troskov also points out, the use of AI in news and media will be different than how it is being used in other industries. Specifically, while some AI is being used to make predictions about what's going to happen right now, "AI is not really about going into situations and understanding the problem from that point of view; it's much more about understanding the structure and process of the news cycle and how that fits into the larger structure of the economy."

In other words, AI in the news industry is much closer to a predictive model and not really about making predictions. And, if those predictions come true, AI in the news industry has a chance to create a revolution in the way we think about news and news media.

"I would say that the news industry is at the point where we can begin to think about the news industry in a much more predictive way than we've thought about it in the past," says Troskov. "You talk about the problem and then try to solve it. We're trying to have a more predictive system that can try to make the best guesses and be a good predictor of all of the things that are going to happen so our job as news professionals is to try to understand the news industry and think about how we can get there so we can provide an accurate information stream."

"AI has the potential to make a difference in all of those areas, for sure," says Kevin Gimpel, vice president of journalism for The News Literacy Project and a former professional journalist. "AI can do a lot of great things in journalism. It should, and will, take the place of a lot of the traditional reporting and writing, and even some of the old journalism. I mean, the old system was just a matter of finding a few key stories and letting people come to their own conclusions about the news. AI will bring a lot of great improvements to journalism.

AI for News: A Potential Revolution in Journalism

In many ways, journalism is about the ability to analyze, interpret, and present data, while news is always about the ability to gather data and interpret it. As AI moves into news, it's going to be able to handle the ever-changing data. So, with AI in the news industry, it's going to be able to predict what's going to happen based on historical trends and trends that are being created by the news industry itself.

"As we have seen with Google, as they have moved further into news, there are many examples of news organizations that are being driven by the algorithms that are being developed to make very quick decisions and not even fact-checking," says Gimpel. "They are doing things like predicting the winner of the NBA championship, which is essentially a fact-checking task on their side of the house. If they didn't have an algorithm driving what they were doing then they may have had to spend a huge part of their newsroom just fact-checking."

"I think AI for news will probably create some real challenges in terms of the fact-checking," says Troskov. "For example, if we were all able to trust AI for news and everything goes completely right and there is an earthquake in Japan, but then in Japan a plane crashes into a building, I think that will still have to be fact-checked on both sides of the house."

AI for News: The Power of Storytelling

AI in the news industry could also be used to tell stories that would otherwise be difficult to tell in a timely way. And that's something that AI doesn't currently provide. "AI has the potential to be really good at storytelling," says Gimpel. "A lot of journalism has not been able to do that. One of the reasons as well is that it is a very hard thing to know how to write a story."

That's something AI could do a big job and that's why journalism and AI should be more closely tied together. "As technology becomes more and more present in people's everyday lives, journalism should be at the forefront of this," says Gimpel. "It's not just about writing. It's about listening. It's about being able to use technology to make things better and to be able to tell stories that are useful to people who need to hear them. I think AI is going to be able to do that."

AI in News: The Need for an Education Revolution

AI can also help journalists gain a much deeper understanding of what news should be and how the news industry works at a deeper level than they've ever had before. And as AI becomes more and more used in the news industry, that means more and more journalists will have to learn how to use AI in the news industry and will need an education revolution.

"One of the challenges that we're going to have to face is the fact that AI really doesn't come from a university system," says Gimpel. "To get the best people to work with AI, you have to do that from the bottom up. It's not going to be some guy at a university. It's a mix of universities, government, and the private sector, working together to make it happen."

But that will take a long time. "I think that it will probably take another 20 years to come," says Troskov. "There's a very big difference between how journalism is done now and how journalism will be done in 20 or 30 years. But there are things that will be happening in the next 10 years that we are not going to have the ability to do at all, if that's the case."

"Journalism is going to have to move beyond the traditional model," says Gimpel. "Journalism has to be much more data-driven, much more fact-based, and much more about the people who are producing the news. As technology continues to gain in its impact on people's lives, you're going to see how that impacts journalism. Because it's the people who are creating the news that are going to determine what the end product will be."

"The biggest thing I think we will see going forward that will change journalism will be the rise of social media, the rise of citizen journalism and the rise of artificial intelligence that will lead to a much more dynamic news industry," says Gimpel. "I think that is going to be the main change in the way journalism will develop in general and in the way all journalists will develop."

AI for News: Predicting the Future of Events with Machine Learning

Just as AI is about the ability to make decisions based on data, machine learning is about the ability to make accurate predictions after gathering a large amount of data that is being analyzed by AI. Machine learning can help news makers predict everything from breaking trends in the stock market to what will happen to political figures over the next few months to what will happen to major events in the political sphere.

"With machine learning, you are basically learning from past data," says Gimpel. "We're trying to apply that model to predicting the future. It is a very powerful predictive model. A machine learning algorithm takes data and puts those data and that data to a machine learning model and basically gives you a future prediction of everything that would happen in order to help you make decisions in an efficient way. That is a very powerful tool.

"We don't just want to be a news source, we want to be an expert news source. We may want to know where the next hurricane is going to hit in Tampa. We want to have that model that can predict what the next story is going to be in New Orleans. We want to predict the future and then we can help the public to understand the future as well as predict what it is going to be in order to help the public make better decisions on what they should do."

AI for News: The Impact of Social Media

As news organizations use AI to help them predict how they can make better decisions for themselves and their audience, there will be a big shift in the way they use AI. Social media is another piece of the puzzle that will have its effect on how news and AI are being used in the news and society.

"What's going to happen is that AI in the news industry is going to become more and more of a collaborative effort between journalists, academics

Garett MacGowan

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