The next disruption


A QUESTION COMES TO MIND, we say it out loud, an ‘assistant’ answers back. We glance at our mobile, it unlocks. We want another language, select from a menu, the translation appears. (Go ahead, try it… the menu is on your right… see how long it takes). AI systems are ‘writing’ news, flagging news, and readying news — transcribing texts and researching files and suggesting copy and proposing headlines, all in seconds or less. Slowly but surely, AI is changing our relationship with time.

It’s not even slowly any more. Artificial intelligence as a concept has been around for six decades. The noticeable impacts have been in the past six years. AI operates with high-performance computing coached by algorithms and nourished by data. Improvements spur the algorithms to weigh more predictions more quickly. One example: in November 2018, visual recognition in training sets was 16 times faster than 17 months earlier.

It’s easy to be caught up in the wave but there are shoals on these shores. Capabilities for good work in reverse. AI systems have become unbelievably good at producing believable images. Variants of ‘deep learning’ can yield ‘deepfakes‘, life-like photos, audio clips, videos, possibly more. New degrees of fakery are inevitable.

Work is underway to have AIs pick-out fakes, especially those generated by other AIs. It could lead to a kind of truth arms war. There will come a time when traditional verification, by seeing for ourselves, will no longer be conceivable. You can’t look a news-seeking algorithm in the eye. We’ll need to become comfortable deferring authority to AI systems, like we came to accept results from pocket calculators. As with time, AI could change our relationship with trust.

Delivering a trusted report in a timely way is a bedrock of journalism. The last disruption, still called ‘the crisis’, was essentially about business models. How could journalism sustain itself with dropping revenues against fixed costs? The next disruption will be about journalism’s soul: where is the locus of authority? Does it pivot on findings by humans or computers? On what basis should either be trusted?

And, will big data produce bigger journalism? Some newsrooms have been discovering insights from data at scales and speeds previously unfathomable for journalists. Whole new ways of understanding our world may become possible, forming the foundations of a journalistic renaissance. Or will ‘real’ journalism become smaller, perhaps more intimate, with AI systems commoditizing breaking news and making algorithmically-customized storytelling more commonplace. Either way, there will be an expectation for even more rapid delivery, measured by an audience living in AI time. In comparison, ‘the crisis’ could seem quaint.

My bet is that (a) AI influences will push journalism to become more human, (b) AI will change the practice of journalism in ways we don’t yet understand, and (c) the big impacts are still to come.

Andrew Cochran
April 11, 2019
updated October 2019

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Andrew Cochran is a producer and writer who’s worked in media for 40+ years. He began as a local news reporter and most recently was head of news strategy for a national public broadcaster.


1 thought on “The next disruption

  1. Quaint indeed Andrew. Having been a newsmaker, not sure how AI might improve the reporting of the events I was involved with and informing the thousands of employees and their families of the course and impact of the necessary decisions being made. Our work together helped customers and employees across Atlantic Canada adjust to enormous change in a short time frame. I look forward to following this new endeavor !

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