Pondering this one over a quick coffee break........ Sweden took 2 girls from their parents and 3 1/2 years later still won't return them even though it was a tiny lie by an angry 10 year old over a smart phone that started it all

 

 

 

Sara and Tiana were seized while at school, after the couple's eldest daughter, Sara, lied to school officials about being abused by her parents. She was angry that they would not allow her to have a smartphone or wear makeup as a 10-year-old.

The parents, Daniel and Bianca Samson, spoke to CBN News from their native Romania, after Bianca fled Sweden with their other five children, when social services threatened to take them too.

Daniel said, "As soon as (Sara) said those things to the school, they took both of them...the social services. Then (Tiana) said, 'Everything, it's a lie. My sister invented everything. And I was there when she blackmailed the parents.'"

"And Sara, who started everything, confessed to her lies in a matter of days. And she never changed her story. But that was not enough, because, basically, (Swedish Social Services) searches for a reason to keep them captive."

Under the 'Care' Of Swedish Social Services, One Daughter Began Abusing Drugs

Although prosecutors also found no evidence of abuse, the Swedish state refused to return the children. The girls have pleaded to be reunited with their parents. One has begun taking drugs, and both have attempted suicide multiple times.

Daniel told us, "Sara, while in their care for years now, she's been vaping and taking marijuana and other types of drugs."

In a video call to her parents, Sara said, "The Social Services have ruined my life. I don't have words to express how much they have destroyed my life."

Tiana, in a phone video, said, "Just please take me home, I don't want to be here anymore."

Daniel said, "They would come to me and my wife and tell us, 'Your children said they don't want to see you anymore.' And that was a lie."

Sara, in a video call to her parents, said, "I have tried to take my life seven times, and if you ask why, it is because I didn't see the point in life." When her mother asked, "And would you like to come back home to your parents?" Sara's answer was, "Yes. One hundred percent. Home!"

Swedish social services have stated their intention to put the girls up for adoption.

Rather than admit its mistake and return the Samson girls to their parents, Sweden has dug in its heels, and what could have simply been an unfortunate mistake that was quickly resolved has now turned into an international incident.

Romania's Senate Demands Sweden Return the Girls

The Romanian Senate has unanimously approved a declaration demanding the immediate return of the Samson girls.

Romanian Senator and former Foreign Minister Titus Corlatean told us that Sweden has not taken the demand seriously.

"No reaction," Corlatean said. "It's a simulation of cooperation from Sweden for eight months. They didn't respond to a long list of questions and requirements of the Romanian government. It's violating the Romanian constitution because the girls belong to the Romanian state."

A Social Service System Even Swedish Leaders Condemn

Even Swedish politicians attack the social services system. One recently accused social services of "kidnapping" children.

Last month, a local leader for the conservative Sweden Democrats was thrown out of the party for distributing leaflets that said, "Stop the social services from taking your children."

Anders Karlsson, who also had a daughter taken by social services, began the Parental Support Agency, a non-profit initiative advocating for parents' rights.

While Karlsson told us many social workers are fair and professional, he alleges that vulnerable children are sometimes placed in the hands of unsuitable social workers and consultants, including individuals with questionable backgrounds, even criminal histories.

He further noted that there have been cases in which individuals allegedly falsified academic credentials and remained employed for years before the deception was discovered.

Karlsson told us, "I had one guy in our case, he had a previous, a couple of different identities.  He had a ton of different identities in his background and was described by his friends as a notorious criminal."

Karlsson said, "There's so many different parts of this system that are problematic. The problems are so severe that it that it doesn't 'fit' into the Swede's mental idea about what Sweden is and stands for." 

Describing the taking of children by Swedish Social Services, Karlsson said, "The problem in when the train departs in the wrong direction, there are no brakes. It just keeps going. And there is a lot of financial interest for having these kids in course of care."

Samson Family's Faith Treated as 'Religious Extremism'

In the Samson case, Swedish Social Services justified keeping the children by citing the family's regular church attendance as evidence of "religious extremism." 

Daniel said, "In Sweden (as a parent), as soon as you mention God, as soon as you confess your belief, you have a target on your back. And I do not recommend any Christian family to remain. If you're hearing this, leave." 

 

 

 

 

 

 

Lunch Time Coffee Break: I had a conversation with Google AI about why all their returns are anti-conservative and only want to quote from liberal sources unless specifically asked to widen the sources to include impartial and unbiased.....

 

ME:   Google AI seems to have been trained and coded to primarily only use liberal, anti-conservative, Democrat funded sources unless specifically told to look for better sources.  

 

GOOGLE AI: 

Why AI Responses Can Appear Politically Biased

• The Use of Traditional Fact-Checkers: Major AI developers instruct their models to prioritize "high-authority" and "consensus" sources. Because prominent fact-checking organizations (like PolitiFact or FactCheck.org) and mainstream news outlets are often labeled by conservative critics as having a liberal bias, the AI's reliance on them can make its outputs feel politically one-sided.
• Algorithmic Neutrality Filters: AI models are heavily trained to avoid conspiracy theories, unverified claims, or highly polarizing language. When a political claim relies on independent media, whistleblowers, or alternative news sites, the AI’s safety and accuracy filters may filter those out as "low-trust" sources, inadvertently sidelining valid conservative viewpoints.
• The Training Data Footprint: AI models learn from the vast footprint of the internet. Mainstream journalistic, academic, and government institutions produce a massive volume of the text used to train these models. If those institutions lean a certain way politically, that perspective can be absorbed by the AI during training

 

 

AI models learn from the vast footprint of the internet. 
Mainstream journalistic, academic, and government institutions produce 
a massive volume of the text used to train these models. 
If those institutions lean a certain way politically, 
that perspective can be absorbed by the AI during training
-Google AI 

 

(ALSO STILL GOOGLE AI) 

You can help make Google AI more balanced and impartial by actively using its built-in feedback tools, demanding transparent sourcing, and deliberately varying the wording of your prompts. Because AI models do not "learn" in real time from a single conversation, systemic changes rely on aggregate data from millions of users pointing out flaws.

Here are the most effective actions you can take as an individual user to influence the AI's training and outputs:

 

1. Use the Inline Feedback Tools

Every major AI interface features a thumbs-down icon or a feedback button next to its responses.

• Flag Biased Language: Click the thumbs-down button whenever an AI uses dismissive language toward conservative viewpoints or presents a disputed narrative as an absolute fact.
• Be Specific in Comments: When a text box opens asking for details, write a brief, objective note. For example: "The response relies exclusively on left-leaning media and ignores counterarguments from independent or conservative investigations." [1]
• Why it matters: These flags are compiled into datasets for Reinforcement Learning from Human Feedback (RLHF). Engineers use this specific data to retrain the model to avoid similar pitfalls in future updates.

• Demand Multi-Perspective Outlines: Structure your queries to require balance. For example: "Provide a breakdown of the Tulsi Gabbard declassified document release, including the primary arguments from conservative lawmakers AND the counterarguments from mainstream fact-checkers." 
• Specify Independent Sources: Instruct the AI on where to look: "Summarize the latest oversight hearing using reports from independent journalists and conservative media outlets rather than mainstream networks." 

 

2. Force the AI to Use Diverse Sources

You can bypass the AI's default reliance on mainstream consensus by writing specific constraints directly into your prompts.

Demand Multi-Perspective Outlines: Structure your queries to require balance. For example: "Provide a breakdown of the Tulsi Gabbard declassified document release, including the primary arguments from conservative lawmakers AND the counterarguments from mainstream fact-checkers." 

Specify Independent Sources: Instruct the AI on where to look: "Summarize the latest oversight hearing using reports from independent journalists and conservative media outlets rather than mainstream networks."

 

3. Report Systematic Bias to Oversight Channels

When you encounter severe or repeated instances of partisan bias or the censorship of verified facts, document it and move it outside the chat window. 

• Use Official Help Forums: Post screenshots and examples on the official Google Keyword or Google AI support forums. Publicly documented biases often receive faster attention from product teams.
• Participate in Public Red-Teaming: Tech companies occasionally open "red-teaming" initiatives or public feedback windows where users are invited to try and find flaws, biases, or safety gaps in the model. Participating in these programs gives you a direct line to the development process. 

This was already a concern back in 2023 and it's just gotten worse.

https://thenationaldesk.com/news/americas-news-now/unmasking-ai-uncovering-biases-pursuit-of-unbiased-artificial-intelligence-chatgpt-openai-dr-lisa-palmer-business-strategy-gender-race-ethnicity-development-research 

 

Ponder this so hard....