Unveiling Bias: Comparing Headlines and Assessing Editorial Neutrality at the Wall Street Journal

Uncovering the Impact of Loaded Language and Biased Headlines on Journalism's Demise - Insights from the Wall Street Journal

Here are two headlines Illustrating the Downfall of Journalism, from nonother than the Mighty Wall Street Journal -#WSJ #loaded

Real Headlines, May 11, 2023:

1. "Trump Mocks Sexual Abuse Case, Repeats False 2020 Election Claims at CNN Town Hall"

2. "Migrant Influx Overwhelms Southern Border as Title 42 Winds Down"

These use loaded language. For me, there are better and more neutral headline alternatives. Moreover, in light of the movement to regulate AI, who can we trust to be neutral, and unbiased when developing rules and regs for the general use and mass adoption of artificial intelligence?

There is a connection between journalistic standards and artificial intelligence evolution.  These headlines bear this out.

Consider the process involved with developing and publishing headlines.  There is a conscious, human process involved when choosing words - especially when your lifestyle and business model are based on the presentation and usage of WORDS.

Remember, the current AI darling, ChatGPT is a large LANGUAGE model that uses AI to predict the next word based on the previous words and learned models;  every teacher in the history of the world has biases.

The advancements in technology, especially AI, make it mandatory that we as humans hone our now dull skill - critical thinking.

Regardless, these headlines seem posed, positioned, and loaded. Don't take my word for it, I asked the AI In The Sky to analyze both:

#KoinicaMinolta's Sharp Pivot From Profitability: A $800 Million Reversal of Fortune

When financial forecasts take a U-turn: Konica Minolta in the spotlight.

Greg: Please explain in the simplest manner, this content: 

The company expects to breach one of the clauses of financial covenants in syndicated loan agreements due to the revised forecasts. However, they have obtained consent from all relevant financial institutions not to request the company to forfeit the benefit of time due to this breach.

ChatGPT:

In very simple terms:

The company has borrowed money from several banks, and as part of the agreement, they promised to meet certain financial targets. Because of the changes in their financial forecasts, they expect to break that promise.

Greg's Words

 

Sure, an $800 Million net loss is bad.  And yes, adjusting DOWN is very bad.

But is anyone surprised?  

AI Bill of Rights: What is "Algorithmic Discrimination"

Greg's Words

AI Δnαrchy Now

Most of the time, releases like this from the Whitehouse go without notice.  In the current State of Fear being generated by just about every status quo institution, something this administration and the media in general forcefully promote, it is prudent to keep an eye on what is said, even though it will end up on the 'cutting room floor' of AI history.

An AI "Bill of Rights" sounds impressive, patriotic, rebellious, and official.

Of course, it isn't anything near the real Bill of Rights - irony.

The Blueprint for an AI Bill of Rights is a set of five principles and associated practices:

1. Safe and Effective Systems
2. Algorithmic Discrimination Protections
3. Data Privacy
4. Notice and Explanation
5. Human Alternatives, Consideration, and Fallback

I've never heard of "Algorithmic Discrimination" and am curious about "Human Alternatives".

Regardless, I don't see this carrying much water, getting a great deal of traction or otherwise high relevancy of this document.  An interesting, yet out-of-date approach that will end up being nothing more than a footnote in the story of AI Evolution.  

If you feel up to it, read the entire "Bill", here.

We've digested the bill here as a summary for you.  Check it out.

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