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AI and Drugs

Garbage in, garbage out

by Brian Ballard Quass, the Drug War Philosopher

March 13, 2026



I watched a clip on Sky News last night in which the wide-eyed tech pundit told us that the AI behemoth known as Anthropic had its own philosopher on staff. Its own philosopher! This was supposed to shock the viewer. A company the size of Coca-Cola has its own philosopher on staff! But what shocked me was the fact that Anthropic did not have DOZENS of philosophers on staff -- or that it did not subject the implicit philosophical point of view of its algorithms to multiple critiques from the general public. If such companies are going to leverage Big Data to give us the apparent final word on everything, then it is hugely important upon which philosophies their answers are based, and that philosophy should not be invented by one single company-appointed philosopher. Sure, 2 + 2 is always going to be equal to 4 in abstract mathematics regardless of unspoken assumptions about the world, but the AI answers to questions about the propriety of drug use are going to depend entirely on the philosophies assumed, knowingly or not, by the AI algorithms.

Suppose that the algorithms are written under the assumption that all the "real" answers about things like drug use will come from science. Then the AI answers that the algorithms provide about drugs will serve to demonize drugs and emphasize their negative uses, since this is what science is paid to do these days in the west: to demonize psychoactive medicines by focusing only on misuse and worst-case scenarios, meanwhile never mentioning positive use, both extant and clearly possible with the use of a little psychological common sense. Indeed, the bylaws of the aptly named National Institute on Drug Abuse forbids the organization's employees from advocating for the legalization of any outlawed substance. Their real jobs are thus political in nature, not scientific. Unless AI "understands" these largely unspoken facts and takes them into account, its answers about drugs will always serve to support the many modern prejudices which are based on this government demonization campaign.

A fair algorithm would consider the fact that westerners have been shielded by media censorship from all positive talk about drug use since their childhood. Even should algorithms glean that fact from its use of inherently conservative Big Data, the weight that the algorithms assign to that fact will be based on assumptions, explicit or implicit, in those algorithms.

In other words, the question about the propriety of drug use raises a host of questions about which most people never consciously think. And we can be sure that AI will manifest the prejudices of the majority. And this, of course, is the nightmare of AI in general. It is innocent enough in telling us the scientific name of the leopard, but when it purports to give us final answers on subjects of human mind and mood, we can only expect blather in the age of the War on Drugs.

Garbage in, garbage out.



Author's Follow-up:

March 14, 2026

picture of clock metaphorically suggesting a follow-up


It makes common psychological sense that cocaine could be beneficial for many people. Common psychological sense. And yet when one searches online for "depression and cocaine," one sees endless papers by academics speculating on how cocaine could actually CAUSE depression. This is how unscientific science has become under the gun of the Drug Warrior. Scientists know that their research dollars depend on them demonizing drugs like cocaine, and they are happy to oblige.




Key Takeaways:





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Ten Tweets

against the hateful war on US




I never said that getting off SSRIs should be done without supervision. If you're on Twitter for medical advice, you're in the wrong place.

Amphetamines are "meds" when they help kids think more clearly but they are "drugs" when they help adults think more clearly. That shows you just how bewildered Americans are when it comes to drugs.

Even when laudanum was legal in the UK, pharmacists were serving as moral adjudicators, deciding for whom they should fill such prescriptions. That's not a pharmacist's role. We need an ABC-like set-up in which the cashier does not pry into my motives for buying a substance.

If you're looking for an anti-Christ, just look for an American presidential politician who has taught us to hate our enemies. Gee, now, who could that be, huh? According to Trump, Jesus was just a chump. Winning comes before anything at all in his sick view of life.

There would be almost no relapses for those trying to get off drugs if all drugs were legal. Then we could use a vast variety of drugs to get us through those few hours of late-night angst that are the bane of the recidivist.

Med-dependent patients of the world, unite -- to end drug prohibition, that is. You have nothing to lose but your prescription bottles and your status as a ward of the healthcare state.

Addiction thrives BECAUSE of prohibition, which limits drug choice and discourages education about psychoactive substances and how to use them wisely.

It is consciousness which, via perception, shapes the universe into palpable forms. Otherwise it's just a chaos of particles. The very fact that you can refer to "the sun" shows that your senses have parsed the raw data into a specific meaning. "We" make this universe.

I'm looking for a United Healthcare doctor now that I'm 66 years old. When I searched my zip code and typed "alternative medicine," I got one single solitary return... for a chiropractor, no less. Some choice. Guess everyone else wants me to "keep taking my meds."

The "scheduling" system is completely anti-scientific and anti-patient. It tells us we can make a one-size-fits-all decision about psychoactive substances without regard for dosage, context of use, reason for use, etc. That's superstitious tyranny.


Click here to see All Tweets against the hateful War on Us






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Unless otherwise indicated, no AI is used in the creation of site content. These essays represent the original ideas of their author and not the ideas that the author SHOULD have based on an algorithmic parsing of existing data. For more on this subject, consider the AI-related viewpoints to which the author subscribes as delineated in the New York Times opinion piece entitled "What 370,000 College Essays Tell Us About A.I.’s Effects on Creativity" by Rebecca Winthrop of the Brookings Institution.

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