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AI-driven stories: How journalist can work with robots and algorithms
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Eesha Sood
6:28
Hello and welcome to our panel discussion on AI-driven stories: How journalist can work with robots and algorithms, featuring Lisa Gibbs, Director of News Partnerships, The Associate News and Ben Rudolph, Managing Director, Microsoft News Labs. The session is moderated by Reginald Chua, Chief operating officer, Reuters.
6:31
Reginald Chua begins the panel by raising the question of how news rooms can function around AI, and how to make sure that it is used in the most effective way.
6:33
Lisa Gibbs believes that including AI in the news room will shift the focus on saving time in their operations. She also adds that this in no way means that human jobs will be eliminated.
6:34
She instead suggests that journalists should adapt o this new environment, and work alongside AI in their work spaces.
6:36
Ben Rudolph comments that the biggest shift he has seen is the steep growth of technology, which is being used for storytelling. This has expanded the field of journalism and created a space where stories are given a platform.
6:37
Reginald explains how complicated and advanced AI technology is, and how recently it has been integrated into the everyday lives.
6:38
Ben says that technology is advancing on such a fast pace that identifying a person from a video is as easy as finding out a persons identify from a photograph. This can easily be done by running it through an appropriate software.
6:40
Reginald then raises the question of what other advantages are brought to the table by AI technology.
Will introducing AI cut down human jobs in the future?
Yes (0% | 0 votes)
 
No (0% | 0 votes)
 
Total Votes: 0
6:42
Lisa responds to this question by taking an example of an AI technology which uses certain algorithms to summarise a given content, which makes the job easier.
6:44
Will AI be an advantage to the upcoming generation?
It will be a big boon (0% | 0 votes)
 
It will be a big bane (0% | 0 votes)
 
Total Votes: 0
Lisa says that the larger question at hand is, if algorithms are detecting patterns quickly, then the editor's question as to why the story wasn't covered, will lead to a change in the relationship between an editor and its reporter.
6:45
Reginald asks Ben how close are we to achieving a truly interactive machine.
6:46
Ben responds that things happening everywhere involves large amount of data, and that cites the example of sports coverage and how much data is present in there itself.
6:47
Reginald suggests that further focus needs to be diverted towards how this data can be put into good use.
6:49
Ben says that it is quite easy to know about every single team in a tournament, but we also need to move beyond the generic question, "What factually happened?"
Ben continues by saying that being able to jump from one sport to another changes the conversational flow, which is usually grit
6:50
Reginald says that we should be able to do multiple versions of a single story. These different versions must be able to cater to the mass and their interests.
A video explaining one of the crucial points from the discussion - If AI can replace human journalists?
6:51
He continues by saying that the machines can be of huge help by collecting the right facts.
6:53
Ben sums up by saying that there is an ample amount of data and revenue models to support them.
6:54
And that's the end of the discussion.
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