How to report better on artificial intelligence - Columbia Journalism Review
- Be skeptical of PR hype
- Question the training data
- Evaluate the model
- Consider downstream harms
- Be skeptical of PR hype
- Question the training data
- Evaluate the model
- Consider downstream harms
Seven principles for journalism in the age of AI
- Be rigorous with your definitions.
- Predict less, explain more.
- Don’t hype things up.
- Focus on the people building AI systems — and the people affected by its release.
- Offer strategic takes on products.
- Emphasize the tradeoffs involved.
- Remember that nothing is inevitable.
The real story in this mess is not the threat that algorithms pose to Amazon shoppers, but the threat that algorithms pose to journalism. By forcing reporters to optimize every story for clicks, not giving them time to check or contextualize their reporting, and requiring them to race to publish follow-on articles on every topic, the clickbait economics of online media encourage carelessness and drama.
Continuous web death.
The modern journalist is not an expert on the web. They and their colleagues have spent a large part of the last twenty-five years dismissing the open web at every stage. They are not the people you can trust to either accurately assess the web or to make usable websites. You can’t even trust them to make sensible decisions about web strategy. Just look at their damn websites!
A perfect parody lampooning the shallow and cowardly reporting of most so-called science stories by the press (I'm looking at you, BBC).
The New York Times covers Everyblock, Outside.in, and their ilk.
Yet more on the events I blogged about down the street, again from the local newspaper.
Here's the local paper's take on the happenings on my street that I blogged about.
Millions of eyewitnesses watched in stunned horror Tuesday as light emptied from the sky, plunging the U.S. and neighboring countries into darkness. As the hours progressed, conditions only worsened.