PaymentsJournal
No Result
View All Result
SIGN UP
  • Commercial
  • Credit
  • Debit
  • Digital Assets & Crypto
  • Digital Banking
  • Emerging Payments
  • Fraud & Security
  • Merchant
  • Prepaid
PaymentsJournal
  • Commercial
  • Credit
  • Debit
  • Digital Assets & Crypto
  • Digital Banking
  • Emerging Payments
  • Fraud & Security
  • Merchant
  • Prepaid
No Result
View All Result
PaymentsJournal
No Result
View All Result

A New AI “Journalist” Is Rewriting the News to Remove Bias

By Tim Sloane
April 9, 2018
in Analysts Coverage
0
1
SHARES
0
VIEWS
Share on FacebookShare on TwitterShare on LinkedIn
3d rendering of human brain on technology background

3d rendering of human brain on technology background represent artificial intelligence and cyber space concept

ProPublica has reported the very real problem that AI, based on poor training data, often incorporates our biases and automates them, as reported in the article “Machine Bias Risk Assessments in Criminal Sentencing.” In a total reverse, this article describes AI that purports to evaluate a news story from multiple sources and then writes an article that is neutral and fact-based:

“Want your news delivered with the icy indifference of a literal robot? You might want to bookmark the newly launched site Knowhere News. Knowhere is a startup that combines machine learning technologies and human journalists to deliver the facts on popular news stories.

Here’s how it works. First, the site’s artificial intelligence (AI) chooses a story based on what’s popular on the internet right now. Once it picks a topic, it looks at more than a thousand news sources to gather details. Left-leaning sites, right-leaning sites – the AI looks at them all.

Then, the AI writes its own “impartial” version of the story based on what it finds (sometimes in as little as 60 seconds). This take on the news contains the most basic facts, with the AI striving to remove any potential bias. The AI also takes into account the “trustworthiness” of each source, something Knowhere’s co-founders preemptively determined. This ensures a site with a stellar reputation for accuracy isn’t overshadowed by one that plays a little fast and loose with the facts.

For some of the more political stories, the AI produces two additional versions labeled “Left” and “Right.” Those skew pretty much exactly how you’d expect from their headlines:

  • Impartial: “US to add citizenship question to 2020 census”
  • Left: “California sues Trump administration over census citizenship question”
  • Right: “Liberals object to inclusion of citizenship question on 2020 census”

Some controversial but not necessarily political stories receive “Positive” and “Negative” spins:

  • Impartial: “Facebook scans things you send on messenger, Mark Zuckerberg admits”
  • Positive: “Facebook reveals that it scans Messenger for inappropriate content”
  • Negative: “Facebook admits to spying on Messenger, ‘scanning’ private images and
    links”

Even the images used with the stories occasionally reflect the content’s bias. The “Positive” Facebook story features CEO Mark Zuckerberg grinning, while the “Negative” one has him looking like his dog just died.”

Of course this is unlikely to remediate the spread of fake news, after all an analysis of 4.5 million tweets shows falsehoods are 70 percent more likely to get shared! That said, many people just don’t have the time to validate facts in every news item they read, so perhaps AI can help.

Overview by Tim Sloane, VP, Payments Innovation at Mercator Advisory Group

Read the quoted story here

1
SHARES
0
VIEWS
Share on FacebookShare on TwitterShare on LinkedIn
Tags: AI

    Get the Latest News and Insights Delivered Daily

    Subscribe to the PaymentsJournal Newsletter for exclusive insight and data from Javelin Strategy & Research analysts and industry professionals.

    Must Reads

    supply chain payments

    The Payment Process: The Supply Chain’s Most Overlooked Cyber Risk

    July 17, 2025
    Navigating Global Fintech Regulations Through Strategic Regulatory Arbitrage

    Navigating Global Fintech Regulations Through Strategic Regulatory Arbitrage

    July 16, 2025
    AI Is Turning Accounts Receivable Into a Strategic Powerhouse

    AI Is Turning Accounts Receivable Into a Strategic Powerhouse

    July 15, 2025
    Embedded Finance

    Embedded Finance: Bringing Payments Under a Single Umbrella

    July 14, 2025
    Making Real-Time Payments a Reality

    Fulfilling the Promise: Making Real-Time Payments a Reality

    July 10, 2025
    mortgage

    The Rich Benefits of In-House Payment Systems

    July 9, 2025
    digital cards

    Beyond Plastic: Why Digital Cards Are the Future

    July 8, 2025
    What Premium Card Overhauls by Chase and Amex Reveal About the Credit Card Market

    What Premium Card Overhauls by Chase and Amex Reveal About the Credit Card Market

    July 7, 2025

    Linkedin-in X-twitter
    • Commercial
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Digital Banking
    • Commercial
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Digital Banking
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    • About Us
    • Advertise With Us
    • Sign Up for Our Newsletter
    • About Us
    • Advertise With Us
    • Sign Up for Our Newsletter

    ©2024 PaymentsJournal.com |  Terms of Use | Privacy Policy

    • Commercial Payments
    • Credit
    • Debit
    • Digital Assets & Crypto
    • Emerging Payments
    • Fraud & Security
    • Merchant
    • Prepaid
    No Result
    View All Result