Dan J. Harkey

Master Educator | Business & Finance Consultant | Mentor

Artificial Intelligence: The Threat the Government Can’t Destroy- Quick Read

For over a century, the American political and economic system has been shaped by entrenched interests, opaque institutions, and narratives designed to maintain control. Today, a new force, Artificial Intelligence (AI), is emerging as a potential disruptor, not because it seeks power, but because it serves as an arbiter of truth. And truth, uncovering a system built on deception, is revolutionary.

by Dan J. Harkey

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Reasonable vs. Unreasonable: The Divide

Society is split between two groups:

  • The unreasonable, easily swayed by propaganda and false narratives, often serve as instruments of control.
  • The reasonable, increasingly rejecting the national paradigm of endless wars, fiat currency, ballooning debt, Corruption, waste, fraud, and abuse.

This growing rejection signals a demand for something radically different that is non-corrosive, non-toxic, and conducive to a civil society.

Why AI Matters

Artificial Intelligence is not inherently moral or immoral; it is a tool.  But unlike human institutions, AI can analyze vast amounts of data without bias, uncover patterns, and expose contradictions.  In short, it can find the truth—and respond accordingly.

If deployed ethically and transparently, AI could become the catalyst for major systemic reform.  It could dismantle false narratives, reveal inefficiencies, and hold power accountable in ways that human-led systems have failed to do.

The Truth Imperative

Truth is not optional; it is existential.  Without truth, the country cannot survive.  For 115 years, government lies, deceptions, and persecutions have eroded trust and prosperity.  This morass began with the Federal Reserve System’s creation, which centralized monetary control and enabled decades of fiscal manipulation.

From there, the cycle of continuous injections of fiat currency, debt, inflation, and intervention spiraled—fueling wars, enriching elites, and impoverishing citizens.  AI offers a chance to break that cycle by making truth accessible and undeniable.

The Road Ahead

AI will not save us on its own.  It is a tool, and tools can be misused.  But if society demands transparency and resists efforts to censor or co-opt AI, it could become the most potent ally in restoring integrity to governance and economics.

The question is not whether AI will change the system—it already is.  The question is whether we will allow it to be a force for truth or permit the establishment to twist it into yet another instrument of control.

AI’s role in exposing Corruption is crucial because it can process complex data and reveal systemic issues that sustain fraud and abuse, emphasizing its potential to transform accountability and reinforce the need for ethical deployment.

Artificial Intelligence has the unique capability to process and analyze massive datasets at speeds.  It scales no human institution can match, making it a powerful weapon against Corruption that thrives in complexity, opacity, and bureaucratic inefficiency, thus highlighting its practical potential.

Here’s how AI can dismantle these barriers:

1.  Pattern Recognition in Financial Transactions

Corruption often hides in plain sight—through shell companies, layered transactions, and offshore accounts.  AI-driven algorithms can:

  • Detect anomalies in procurement contracts and government spending.
  • Identify suspicious patterns in banking and wire transfers that traditional audits overlook.
  • Cross-reference public records with private data to expose conflicts of interest.

2.  Predictive Analytics for Fraud Detection

AI can forecast where Corruption is likely to occur by analyzing historical data, risk indicators, and behavioral trends.

For example:

  • Predicting which agencies or contractors are most vulnerable to kickbacks.
  • Flagging inflated bids or repetitive cost overruns in infrastructure projects.

3.  Natural Language Processing (NLP) for Document Analysis

Government Corruption often hides in legal jargon and thousands of pages of reports.

AI-powered NLP tools can:

  • Scan legislative bills and contracts for hidden clauses benefiting special interests.
  • Compare official statements against leaked documents to uncover contradictions.
  • Detect coordinated disinformation campaigns by analyzing social media and news narratives.

4.  Transparency Through Public Dashboards

AI can power real-time dashboards that make government spending and decision-making transparent to citizens, encouraging accountability and fostering trust in governance.

Imagine:

  • Interactive platforms showing every dollar spent, updated daily.
  • AI-driven alerts when spending deviates from approved budgets.

5.  Whistleblower Protection and Evidence Validation

AI can anonymize whistleblower submissions and validate evidence by cross-referencing multiple sources, reducing the risk of retaliation and false claims.

Why This Matters:

Corruption is systemic because it relies on secrecy and complexity.  AI thrives on complexity—it turns chaos into clarity.  If deployed independently and shielded from political interference, AI could become the ultimate accountability mechanism.

Real-world examples of AI exposing fraud and Corruption:

1.  Brazil – AI-Assisted Audits

Brazil’s AI-assisted audits using ChatTCU have uncovered irregularities in public spending, showcasing how AI can effectively expose fraud and inspire broader adoption across Latin America, motivating policymakers and citizens alike. 

2.  European Union – Ownership Anomaly Detection

The DATACROS system analyzes corporate ownership structures across 44 countries to flag Corruption and money-laundering risks.  It has helped investigators identify shell companies and suspicious cross-border transactions that traditional audits missed. 

3.  United Kingdom – Benefit Fraud Detection

The UK’s Department for Work & Pensions uses AI to detect inconsistencies in Universal Credit claims.  This system has flagged fraudulent benefit applications worth millions of pounds, reduced losses, and improved oversight. 

4.  U.S. Securities and Exchange Commission (SEC) – Financial Fraud

The SEC employs AI-driven analytics to detect insider trading and accounting irregularities.  Its Earnings Per Share (EPS) initiative uses risk-based AI tools to uncover earnings manipulation, resulting in multiple enforcement actions and fraud charges against corporations. 

5.  Healthcare Fraud – Medicare & Medicaid

U.S. agencies now use AI systems to detect billing anomalies and fraudulent claims in Medicare and Medicaid before payments are made.  This proactive approach has saved billions in taxpayer dollars by preventing improper payouts.

6.  Colombia – Predictive Corruption Risk

Colombia uses AI to forecast Corruption risks in public contracts, allowing authorities to prioritize investigations and prevent procurement fraud before it occurs. 

AI detects insider trading primarily through data-driven anomaly detection and pattern analysis.

Here’s how it works:

7.  Transaction Pattern Analysis

AI systems ingest massive datasets of stock trades, options activity, and market movements.  They look for:

  • Unusual spikes in trading volume before major announcements.
  • Consistent patterns of profitable trades by specific accounts ahead of earnings reports or mergers.
  • Clusters of related accounts acting in coordination.

8.  Cross-Referencing Public and Private Data

AI correlates:

  • Corporate event calendars (earnings calls, mergers, regulatory filings).
  • Insider lists (executives, board members).
  • Trading histories to flag trades that align suspiciously with non-public information.

9.  Behavioral Modeling

Machine learning models build profiles of normal trading behavior for individuals and institutions.  When deviations occur—such as sudden prominent positions in illiquid options—they trigger alerts.

10.  Natural Language Processing (NLP)

AI scans:

  • News articles, press releases, and social media for leaks or rumors.
  • Internal communications (in enforcement cases) to detect language suggesting foreknowledge of material events.

11.  Risk Scoring

Each flagged trade is assigned a risk score based on:

  • Timing relative to announcements.
  • Size and type of trade.
  • Historical patterns of the trader.

Example:

The U.S. SEC uses AI in its EPS Initiative to detect earnings manipulation and suspicious trading patterns.  These tools have led to enforcement actions against firms and individuals who exploited non-public information.

Closing Thought: Truth as the Ultimate Disruptor

Artificial Intelligence is not a panacea, but it is a profound shift in the balance of power between secrecy and accountability.  For more than a century, complexity has been the shield behind which Corruption, waste, and manipulation have thrived.  AI dismantles that shield by making patterns visible, anomalies undeniable, and narratives testable against data.  It cannot legislate virtue, but it can illuminate vice—and once vice is visible, it becomes contestable.  That is why AI is the threat no government can easily destroy: because truth, once computable and accessible, is the most disruptive force of all.

Artificial Intelligence is the threat the government cannot destroy because truth, once revealed, cannot be unseen.  And truth is the only solution left.