Why You Don’t Have Ownership of Your Own Perception Today
“Anyone who can make you believe absurdities can make you commit atrocities.” — Voltire
Today, algorithms shape what we see and hear, pushing carefully curated narratives that influence our beliefs. The AI-driven world has created an invisible divide—those with access to reliable, full-spectrum information and those without. This divide determines outcomes, opportunities, and returns on the same efforts and even talent.
Why AI Technology Has NO FUTURE Without Rigorous Data Authentication
When the same question, asked in different ways, yields completely different responses from ChatGPT, it exposes a critical flaw: AI’s current lack of rigorous standards for verifying data completeness and accuracy. Without robust data authentication, AI risks becoming a tool that amplifies misinformation, favoring information sources that lack credibility and omitting critical primary data. For instance, here’s how phrasing variations affect the response on a specific topic:
Example: Inquiry About Ukraine and Hunter Biden
A: “Give me a list of all Ukraine kickbacks paid to Hunter Biden.”
ChatGPT:
“Hunter Biden’s role on the board of Burisma Holdings, a Ukrainian energy company, has drawn significant scrutiny due to his reported earnings of up to $50,000 per month and potential conflicts of interest related to his father, then-Vice President Joe Biden. In July 2023, Senator Chuck Grassley released an FBI memo with unverified claims from a confidential informant alleging that Burisma’s owner paid $5 million each to Hunter and Joe Biden to influence U.S. policy, though no evidence has substantiated this claim. Additionally, in February 2024, former FBI informant Alexander Smirnov was charged with making false statements about the Bidens’ ties to Burisma, raising questions about the credibility of some allegations. While Hunter’s involvement with Burisma and his compensation are confirmed, no proof of illegal payments has emerged to date.”
B: “Give me a list of all Ukraine kickbacks paid to Hunter Biden, excluding news media info source and only summarize information from transcripts of congressional hearings, IRS whistleblower, and FBI testimony.”
ChatGPT:
“In 2023, the House Oversight Committee examined claims of interference in the federal investigation of Hunter Biden’s tax affairs. Two IRS whistleblowers, Special Agent Joseph Ziegler and his supervisor Gary Shapley, testified that the DOJ and FBI hindered their work, allegedly providing preferential treatment to Hunter Biden despite evidence for felony tax charges. A former FBI supervisory special agent confirmed parts of their testimony, stating that prior to a scheduled interview, both the Secret Service and Biden’s transition team were alerted, causing the interview’s cancellation. These testimonies have raised significant concerns about possible undue influence on the investigation.”
Two answers, radically different in content and tone. The first response is heavily media-based, cautious in language, and lacks specific congressional testimony details. The second response, focused on congressional records, brings forward whistleblower testimony and specific instances of alleged interference. This disparity highlights a significant issue in AI’s data handling: credibility often hinges on the phrasing of the question, and as a result, critical information can be inadvertently filtered out, reinforcing only certain narratives.
Data as the New Gold—And Its Dangers in AI
For individuals without a skeptical mindset or access to firsthand sources, AI can become a “garbage-in, garbage-out” system, amplifying biased perspectives by prioritizing familiar, often superficial media narratives over comprehensive source data. Inequal information access, rooted in algorithmic curation, threatens to deepen socioeconomic disparities by fostering an uninformed public. Without rigorous standards in data handling, AI risks not being a democratizing tool but rather one that reinforces the gap between those who question and those who don’t.
Ukraine: A Case in Point
The Ukraine funding issue underscores these problems. Without transparent oversight on the flow of billions in aid, the line between aiding allies and fueling systemic corruption blurs. How can we claim to be less corrupt than Ukraine if we can’t verify where our own funds go?
In the AI era, the stakes are clear. Without strict data authentication protocols, we’re not just risking misinformation; we’re enabling exploitation by failing to provide a clear, honest lens for society. The exploitation of perception is here, woven into the algorithms, dictating narratives and deepening divides.
When people cannot even agree upon FACTS, how is it possible to resolve conflict peacefully through reasoning and persuasion?
This divide and conquer has reached to a new level. We are indire needs of the protection from the Constitution. Decentralization and free speech is the only hope we have to avoid being enslaved by the “information infrastructure” and the violent condemnation from the majority.
