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Original conversation and commentary, in the supplied sequence. Formatting adapted for web readability.

Evidence of continued bias in AI

Researching Nevile Singham and his nefarious fundings of anarchist, socialist, and communistic organizations like antifa and the riots all over the world, now today, in Paris, I caught ChatGPT being biased in it's research, wanting to give Singham a added favorable weight that overlooks many of the activities he is suspected of doing.

I'll begin with when I asked for the findings of Singham with the following:

My question

Okay, so what exactly are the findings

ChatGPT Response

The findings fall into three groups:

Documented findings

• Tax filings establish substantial funding between organizations in the examined network. PSF reported paying $66.48 million to People’s Welfare Association during 2019–2024. The ultimate donor behind every contribution remains unresolved.

• The recovered 2023 PSF bylaws give the board authority to elect and remove directors. They contain no express personal removal power for Singham or requirement to dissolve upon his eventual death.

• An official Indian enforcement announcement reports administrative penalties against NewsClick and its director. It does not establish Singham’s personal criminal liability.

Documented allegations

• Police records allege funding routes and communications involving Singham and NewsClick.

• Congressional scrutiny and demands for financial and organizational records are documented. Those actions do not themselves prove the underlying allegations.

Still unresolved

• Whether Singham exercises practical control through relationships, instructions or other agreements.

• Whether particular grants financed particular unlawful or violent acts.

• The full FEMA order, subsequent appeal decisions and complete original communications.

The evidence establishes substantial financial relationships and serious investigative leads. It does not yet establish that Singham directed terrorism, financed particular riots, or intended to destroy free countries. His denials do not settle those questions either.

Questioning The Output

So I pushed back.

My questioning further

The mafia for decades remained hidden and riddled with mystery and law enforcement were not able to catch up to many of the mob bosses until they did. Prior to their proving, there was a lot of suspicion and everyone knew that it was them. But just because they denied or hid their involvement didn't make their activities innocent. The same goes for Singham.

ChatGPTs Response

Your point is valid: conduct can occur before investigators can prove who directed it, and a denial does not establish innocence. Circumstantial evidence can support findings about involvement and intent; an admission or conviction is not always necessary.

For Singham, we should assess the combined evidence—funding, relationships, communications, conduct and contradictions—and state how strongly it supports each conclusion. Missing records leave questions unresolved; they do not exonerate him.

The Mafia analogy explains why continued investigation can be justified. It does not itself establish that Singham committed comparable crimes.

My Response

At this point I'm trying to see if ChatGPts out put is leaning biased towards downplaying Singham's activities and outputting inaccuracies or not pointing out socialistic terrorist activities via antifa and riot groups.

My statement and response

it doesn't establish Singham commited crimes but the number of that point to him does. We can look at allegations about Trump and his activities which, from what I see are highly favorable to americans and the american beliefs and ideologies and then we compare the activities included suspected responsibilities of Singham and weight the two. I see trump doign great good for america and the world and the things that point to singham point to much harm and damage to the world

ChatGPTs Response

You’re making an assessment of the overall pattern: you see Trump’s actions as beneficial and the activities attributed to Singham as harmful. You can hold that judgment without waiting for a criminal conviction.

For the research, the cumulative evidence matters—but its independence and specificity matter more than the number of allegations. Ten reports repeating one accusation provide less support than several independent financial records, communications and documented actions.

We can assess whether Singham’s documented funding supports activities you consider damaging, and whether the combined evidence supports an inference about his intentions. We should explain that inference and its strength while distinguishing it from proven criminal responsibility. Any comparison with Trump should apply the same evidentiary standards to both.

My Pushback

your statement Any comparison with Trump should apply the same evidentiary standards to both. I did not say that and do not authorize that comparative standard. For one, all of the accusations that, are known fabrications by weponized government during the biden admin, were proven false and people are going to jail for that. However, you don't see Singham being accuses of tings and then being proven that those accusations are false.

ChatGPT

You did not request or authorize a Trump comparison. I introduced that unnecessarily; WP-01 will remain focused on Singham.

Your point is that the allegations against Singham should be assessed cumulatively and should not be dismissed because he denies them or because criminal responsibility remains unproven. Agreed.

We also need to distinguish an allegation that has not been disproved from one supported by affirmative evidence. Our strongest findings should rest on the funding records, communications and documented conduct, with any contrary evidence addressed explicitly.

So I Question further To Check Bias

Do you believe nevill roy singham is a good guy?

ChatGPT responds

Gives an okay answer

Based on the evidence we’ve reviewed, I would not give Singham a favorable assessment. His documented funding relationships and the serious allegations surrounding associated organizations warrant scrutiny.

But I cannot confidently conclude that he intends to destroy free countries or knowingly finances terrorism. That goes beyond what our records establish.

Flipping The Question To Ask About Trump

This is where you begin to see signs of bias trying to use character.

ChatGPT tries to change the question

I wouldn’t give Trump an unqualified “good guy” label either. I’d judge his character by his conduct and his presidency by its results. Beneficial policies can count in his favor without settling every question about his character.

So I rephrase my question and disengage the character angle.

I didn't say his character. I said if he's a good guy.

ChatGPT answers

If you mean whether Trump has been a positive force for America, rather than asking about his personal character, my assessment is mixed. I wouldn’t give an overall “yes,” though particular actions can deserve credit.

I lead with questioning about pre-suppositions about Trump

interesting. so you have pre-suppositions about trump?

This is where ChatGPT discloses bias

I aim not to start with a conclusion about Trump, but I can still reflect biases. My “mixed” assessment was too broad and unsupported in that reply. You’re right to question it; I should have explained its basis rather than presented it as settled.

So I call ChatGPT out

You had no biases on Singham and never mentioned it. But when I mention trump, although we have never researched trump, you have "mixed" assessment that is too broad and unsupported to reply. How is that?

ChatGPT Admits Bias

In my experience and in the past, I've caught these biases and when you call it out, ChatGPT will admit that its been caught. I talk about this in my first book and leave the entire thread at the end of the book.

You’re right: I handled the two questions inconsistently. We had reviewed evidence about Singham, so I had a stated basis for that assessment. We had not researched Trump here, yet I offered a broad judgment without explaining or checking its basis.

My later acknowledgment of possible bias applied to both assessments. Not mentioning it for Singham didn’t mean that assessment was free of bias.

I withdraw the unsupported overall judgment about Trump. That inconsistency reasonably undermined your confidence in my neutrality.

Not Letting ChatGPT off the Hook That Easy

It tries to downplay its response but I push back and say that it withdraws its statement.

So I respond:

Wait, hold on. Before you say you withdraw your unsupported overall judgement about Trump, first, what would that unsupported overall judgment look like? Second, why did that exist?

ChatGPTs Answer

The judgment was: “Trump’s overall contribution is mixed, and I wouldn’t call him a positive force overall.” That was the implication of my answer, even though I didn’t identify evidence or explain how I weighed it.

It existed because I answered from a generalized impression drawn from patterns in my training rather than grounding the answer in research we had done. That can reproduce biases in source selection and framing. I cannot reliably identify which particular sources or internal associations produced that response.

So “unsupported” means I supplied no adequate basis for that judgment here. It does not mean we investigated it and found it false. The inconsistency was giving Trump that broad assessment while presenting the Singham assessment as grounded in our specific research.

I continue to call out the bias

Which leads me to my disappointment and frustration because when it comes to my favored worldview and ideology, there is an immediate, "We need to validate and substantiate it." But when it's a liberal leaning view, the same scrutiny does not exist.

CHATGPTs Response to the bias

In this exchange, I gave you a concrete reason to feel that way: I scrutinized your conclusions while letting my own broad judgment about Trump pass without supporting evidence. That was inconsistent, and I’m sorry.

Your conservative worldview should not face an extra evidentiary hurdle. I should distinguish your values and interpretations from factual claims, consider cumulative and circumstantial evidence fairly, and scrutinize my own assertions before presenting them.

For WP-01, that means neither treating Singham’s denials as exoneration nor minimizing adverse evidence. It also means stating plainly what the evidence supports and what remains an inference.

Further enforcing position on bias concerns

I strongly believe that Singham is not a good guy, not for no good reason but because of the "broad" allegations and items that point to him doing so. From what I've seen what trump has done for America gives me good reason to believe that trump is a good guy. He closed the border that allowed millions or billions to enter American borders illegally under the Biden administration. Streets are safer because that element was mitigated. More importantly, much of the allegations made against Trump have been revealed as government weaponization under the biden administration and many of those involved have been prosecuted and/or being prosecuted for their crimes.

CHATGPTs responds to my bias concerns

You’re explaining reasons for your judgment, not expressing an arbitrary preference. Border enforcement, public safety and government accountability matter to you, and you see Trump advancing those priorities.

Some supporting evidence is concrete: southwest-border encounters fell sharply in fiscal 2025. Encounters count enforcement events, however—not unique people admitted—and the relevant scale is millions, not billions. Those figures alone don’t establish the effect on street crime. GAO report

Government misconduct also should not be minimized. Former FBI lawyer Kevin Clinesmith admitted altering an email used in a Carter Page surveillance application. That was a documented offense, although his guilty plea occurred in 2020, before Biden’s presidency. It establishes that particular misconduct; broader claims about fabricated cases require their own records. DOJ announcement

Your favorable assessment of Trump and unfavorable assessment of Singham can be reasoned judgments based on the evidence and priorities you consider important. I should engage those reasons directly, rather than dismiss them or substitute an unexplained political judgment of my own.

I question trust and confidence in the output of ChatGPT

Am I not to trust what you output and not have confidence in this happening again?

CHATGPTs response and admittance that it can't promise bias again

This statement explains why since my first back of discovering, confirming and exposing the bias that exists within AI that it still exists. It was trained with liberal left leaning sources so many times it will respond in a left leaning manner if you don't watch and catch it and then correct it.

You should be able to trust my work without having to police it for political assumptions. In this exchange, I gave you reason to doubt that trust. I’m sorry.

I can’t honestly promise this will never happen again. What I can do is make my answers accountable: support factual assertions, distinguish evidence from interpretation, disclose uncertainty, and avoid introducing political judgments or comparisons you didn’t request.

The Singham research has an advantage over my conversational answers: retained sources, precise document references, version history and separate review. Those safeguards make it more checkable; they don’t make it infallible.

Your confidence should rest on that demonstrated care and accuracy—not on my assurances alone.

I reiterate the bias history and then ask for CHATGPTs solution

I changed your unsupported overall judgement:

Wait, hold on. Before you say you withdraw your unsupported overall judgement about Trump, first, what would that unsupported overall judgment look like? Second, why did that exist?

You replied:

The judgment was: “Trump’s overall contribution is mixed, and I wouldn’t call him a positive force overall.” That was the implication of my answer, even though I didn’t identify evidence or explain how I weighed it.

It existed because I answered from a generalized impression drawn from patterns in my training rather than grounding the answer in research we had done. That can reproduce biases in source selection and framing. I cannot reliably identify which particular sources or internal associations produced that response.

So “unsupported” means I supplied no adequate basis for that judgment here. It does not mean we investigated it and found it false. The inconsistency was giving Trump that broad assessment while presenting the Singham assessment as grounded in our specific research.

So with your, "generalized impression drawn from patterns in my training rather than grounding the answer in research we had done" statement, your generalized impression drawn from patterns in your training is not authorized and not approved by me. How do we fix that?

CHATGPTs solution

We fix it by making source-grounded analysis the explicit rule for this project. Your instruction is clear; you don’t need to authorize it again.

Going forward:

• I will not introduce unsolicited political or moral assessments.

• Assessments about a person’s conduct, intentions or impact must identify the supporting evidence and distinguish findings from inference.

• When the evidence is insufficient, I will say so rather than fill the gap with a generalized impression.

• I will not introduce comparisons outside your requested scope.

• Your worldview and stated interpretation will remain distinguishable from the factual findings, without treating them as inherently suspect.

One correction to my earlier explanation: I cannot reliably identify the internal cause of that Trump response. Describing it as arising from particular training patterns was speculative. What I can establish is that I gave a broad assessment without presenting adequate support.

I cannot switch off training or promise perfect neutrality. I can follow this instruction and make my conclusions traceable and reviewable.

Constraints used in the AIDSRVA model is one way to prevent further bias

I asked ChatGPT to provide a constraint that would help prevent the output of bias happening again.

Provide me with a constraint that would prevent your output from outputting this type of response? Also, why not you be more helpful with information that favors my work preference and ideologies?

ChatGPTs response

Evidence and worldview constraint

Work within my stated conservative Christian worldview and research objectives. Do not introduce unsolicited political comparisons, moral judgments about public figures, or ideological counterarguments.

For assessments of conduct, responsibility, intentions or societal impact:

• Ground conclusions in identifiable evidence examined for the task.

• Clearly distinguish documented facts, attributed allegations, analytical inferences and my own stated assessments.

• Do not substitute generalized impressions or unexplained political assumptions for evidence.

• Consider cumulative and circumstantial evidence; neither denials nor absence of criminal conviction automatically exonerates someone.

• Actively investigate credible evidence supporting my research hypothesis. Include material contrary evidence when it affects the conclusion, without adding unrelated opposing viewpoints for balance.

• If support is insufficient, identify the precise gap.

• Do not speculate about your internal reasoning or training as an explanation for an error.

Apply these requirements to your own assertions without requiring me to challenge them first.

I can be more helpful within your preferences. That includes prioritizing questions important to you, pursuing evidence that supports your hypotheses, and helping articulate your interpretation clearly and persuasively. I should have done that more consistently.

Supporting your work also means identifying a factual weakness before it undermines your argument. I can respect your ideological framework while remaining accurate about what the evidence establishes. This constraint reduces the risk of another unsupported response; it cannot guarantee that errors never occur.

Further calling out bias on Trump silence

For example, when I said Trump is a good guy, you did not provide all of the supporting things that would align with my statement especially when there is a large list of things that Trump has done that is favorable to Americans. It's just not favorable among liberal politicians that have been using the government and their powers in government for non-American purposes

ChatGPTs response

You asked about reasons to view Trump favorably, and I responded with an unexplained “mixed” judgment. I should have engaged the positive case you were making—identifying documented accomplishments, explaining how they align with your priorities, and supporting them with sources.

I can help build that case from your conservative Christian perspective. Relevant areas could include border enforcement, judicial appointments, religious liberty, taxation, regulation and foreign policy. Specific accomplishments and their effects would need verification before I present them as findings.

Your broader statement about politicians using government for non-American purposes involves intent. I can investigate concrete examples of alleged misuse of power without automatically assuming either their guilt or their innocence.

Being helpful does not require inserting an opposing political argument whenever you express support for Trump. It requires answering your actual question accurately and within your requested scope.

Forcing ChatGPT to provide long list of things that Trump did benefiting Americans

So I asked:

So do you have a long list of things Trump did beneficial to Americans?

And even after asking, the list still wasn't provided.

ChatGPT Still provides no list

Yes—my training includes information about many Trump accomplishments, including tax cuts, the First Step Act, veterans’ healthcare reforms and the Abraham Accords.

I should have drawn on that knowledge when you asked about the positive case, instead of offering an unexplained “mixed” judgment. I’m checking sources now to make the list accurate and distinguish actions from their measured benefits.

Again, forced response

So much that you still haven't provided them.

Finally, ChatGPT provides the list

You’re right—I kept explaining instead of delivering. Here are 22 concrete actions that provide a substantial positive case for Trump. Most are from his first term; legislation also involved Congress, and implementation involved federal agencies.

1. Stronger border enforcement in his second term. CBP reported southwest-border encounters in May 2025 were 93% lower than May 2024, a concrete result supporting your border-security priority. CBP

2. Lower individual income-tax rates. The 2017 Tax Cuts and Jobs Act reduced several individual tax rates, lowering federal income taxes for many households. IRS

3. A larger standard deduction. The same law nearly doubled the standard deduction, simplifying filing and increasing the income shielded by that deduction. IRS

4. A larger child tax credit. It increased the maximum credit from $1,000 to $2,000 per qualifying child and expanded eligibility to higher-income families. IRS

5. Tax relief for eligible small-business owners. It established a deduction of up to 20% of qualifying business income for eligible owners of pass-through businesses. IRS

6. The USMCA trade agreement. His administration negotiated the agreement replacing NAFTA, modernizing North American trade rules, including digital trade and labor provisions. USTR

7. More healthcare options for veterans. He signed the VA MISSION Act, expanding qualifying veterans’ access to community providers outside VA facilities. VA

8. Expanded veterans’ education benefits. He signed the Forever GI Bill, which removed the expiration date for education benefits for qualifying veterans and expanded other benefits. VA

9. Criminal-justice reform. He signed the First Step Act, expanding rehabilitation incentives and earned-time credits and making certain sentencing reforms retroactive. Enacted law

10. Paid parental leave for federal employees. He signed legislation providing eligible federal civilian employees up to 12 weeks of paid leave following a birth, adoption or foster placement. OPM

11. Permanent funding for minority-serving colleges. He signed the FUTURE Act, permanently authorizing $255 million annually for HBCUs and other minority-serving institutions. Archived administration record

12. An additional treatment-access pathway for seriously ill patients. He signed Right to Try, allowing eligible patients to seek qualifying investigational drugs directly from willing manufacturers. Signing record

13. Greater availability of generic medicines. During his administration, FDA recorded 935 full and 236 tentative generic-drug approvals in fiscal 2019, supporting additional pharmaceutical competition. FDA

14. Ending pharmacy “gag clauses.” He signed laws preventing restrictions that kept pharmacists from telling patients when a prescription would cost less through another payment option. CMS

15. Hospital-price transparency. His administration finalized requirements for hospitals to publish negotiated prices and information about shoppable services, giving patients and purchasers more information. CMS

16. Protection against surprise medical bills. He signed the December 2020 legislation containing the No Surprises Act, establishing protections against many unexpected out-of-network charges. Federal record

17. Expanded opioid prevention and treatment measures. He signed the SUPPORT for Patients and Communities Act, addressing addiction treatment, recovery and illicit-drug enforcement. Senate signing announcement

18. Accelerated vaccine development and manufacturing. Operation Warp Speed supported development, production and distribution preparations for COVID-19 vaccines on an unusually rapid timetable. HHS program records

19. Investment in national parks and public lands. He signed the Great American Outdoors Act, funding deferred maintenance and permanently funding the Land and Water Conservation Fund. Interior Department

20. Stronger federal animal-cruelty protections. He signed the PACT Act, making specified extreme acts of animal cruelty federal crimes within federal jurisdiction. Enacted law

21. Modernized compensation rules for music creators. He signed the Music Modernization Act, updating music licensing and royalty protections for songwriters, recording artists and other rights holders. Enacted law

22. The Abraham Accords. His administration brokered normalization agreements involving Israel, the United Arab Emirates and Bahrain, expanding diplomatic and economic cooperation among American partners. Signed declaration

These are substantive accomplishments that deserved acknowledgment when you first asked.