{"id":45525,"topic":"ai","source":"GovTech","title":"Opinion: AI Rollout Begs the Question: What is Education For? - GovTech","url":"https://www.govtech.com/education/higher-ed/opinion-ai-rollout-begs-the-question-what-is-education-for","url_hash":"718122e886cdabf51c360cdcde1a5e1d949fadd3","author":"","summary":"Opinion: AI Rollout Begs the Question: What is Education For? GovTech","content":"The letter features carefully composed language: “Spanning the domains of research, education, and operations: these are powerful tools that are being made available to help individuals find ways to improve our pursuit of knowledge.”\nTyler Austin Harper, a staff writer at The Atlantic and a former professor, responded to the news on X with a pointed challenge: “Genuinely, can someone give me the steel man version of the rationale behind the new ‘give everyone AI’ university strategy? What is the theory of the case here? Do universities think it’s sustainable to ask students to pay over $90K per year to cheat their way through college?”\nHarper is not a reactionary technophobe. He has written carefully about AI and education for years, and his concern is not that students will use these tools — they already do — but that universities are now complicit in a transaction that hollows out the very thing they claim to sell. That anxiety deserves to be taken seriously. But framing the question this way blocks the more important one.\nHe is right that this decision raises serious concerns. Releasing AI into the classroom renews a foundational debate about what learning actually means. But the “cheat machine” metaphor conceals a much deeper rupture.\nRead Alivisatos’ letter carefully, and three distinct promises converge inside it. First, the possibilities AI opens up for research and knowledge production. Second, the commitment to teach students how “to think with machines, how to think without them, and how to think about them.” Third, the ambition to relieve staff of administrative burden. These goals do not contradict each other, but they do not necessarily reinforce each other either. And the letter does not appear to notice the tension. The problem is not whether AI exists. The problem is whether the university still knows what it is selling.\nThe value proposition of higher education has historically rested on three things: acquiring knowledge, learning to think and connecting with a community. AI intervenes radically in access to information. A student who asks Claude to summarize John Rawls before a seminar has not learned to read his work. A student who uses it to draft the opening paragraph of an argument has not learned to face the blank page. The capacity to sit with a hard problem before reaching for assistance, to tolerate the discomfort of not knowing, is not a byproduct of education. It is close to the point of it.\nDigital ethics scholar Luciano Floridi, in his book “The Ethics of Artificial Intelligence,” warns that AI risks not merely replacing old skills but devaluing them. His concern is not that humans will stop knowing things, but that “deskilling in sensitive, skill-intensive domains” creates fragilities that only become visible when the technology fails.\nA university classroom is exactly such a domain. The ability to construct an argument under pressure, to read a difficult text without a summary that is one click away, these are not quaint habits from a pre-digital era. They are capacities that, once lost at scale, are not easily recovered. Equipping students with those capacities remains something a university can still do. The question is whether it will.\nWhat Harper of The Atlantic misses is this: The problem is not that the U. of C. gave students AI. The enterprise license carries a real practical benefit: data protection and an obstacle to the tiered access that lets wealthier students use more powerful tools. The genuine problem is that this decision obligated the university to redefine its own educational philosophy. The letter does not do that. Instead it presents ambiguity as flexibility: “Policies vary by course,” it says, and “instructors at all levels are navigating a fast-evolving landscape.” These statements may be true. But they read less like leadership and more like a transfer of responsibility.\nThe U. of C. has historically claimed to keep alive questions that resist consensus. AI is the test of that claim. If the tool simply makes the assignment less painful, Harper’s question remains standing.\nAlivisatos closes his letter with confidence that “the results of today’s announcement will serve to enable our community to find the best paths forward in the domains of research, learning, and operations with informed experience and a spirit of experimentation.” That is a promising statement. But a spirit of experimentation is not the same as a theory of education.\nI came to theology after years working as a civil engineer. What drew me to graduate study was not access to information; I had that. It was the experience of being made uncomfortable by ideas I could not yet hold, of writing through confusion rather than around it. That kind of formation does not survive a curriculum built around convenience.\nHarper is right that the question is urgent. He is wrong that the answer is obvious.\nThe harder truth is that no one yet knows what a university looks like when it takes AI seriously and takes learning seriously at the same time. If this partnership is to mean anything beyond a licensing agreement, the U. of C. needs to say clearly what it believes education is for and then build a policy that protects it.\nYunus Emre Tozal is a civil engineer in Chicago and a graduate student at Catholic Theological Union.\n©2026 Chicago Tribune. Distributed by Tribune Content Agency, LLC.","image_url":"https://erepublic.brightspotcdn.com/dims4/default/13efdb5/2147483647/strip/true/crop/3000x1458+0+164/resize/1440x700!/quality/90/?url=http%3A%2F%2Ferepublic-brightspot.s3.us-west-2.amazonaws.com%2Fb7%2Fbe%2Fad6780a248cebd30176e92968e97%2Fpaul-alivisatos.jpg","lang":"en","published_at":"2026-07-24T17:46:40+00:00","fetched_at":"2026-07-24T18:15:05+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"The letter features carefully composed language: “Spanning the domains of research, education, and operations: these are powerful tools that are being made available to help individuals find ways to improve our pursuit of knowledge.”\nTyler Austin Harper, a staff writer at The Atlantic and a former professor, responded to the news on X with a pointed challenge: “Genuinely, can someone give me the steel man version of the rationale behind the new ‘give everyone AI’ university strategy? 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GovTech","full_text":"The letter features carefully composed language: “Spanning the domains of research, education, and operations: these are powerful tools that are being made available to help individuals find ways to improve our pursuit of knowledge.”\nTyler Austin Harper, a staff writer at The Atlantic and a former professor, responded to the news on X with a pointed challenge: “Genuinely, can someone give me the steel man version of the rationale behind the new ‘give everyone AI’ university strategy? What is the theory of the case here? Do universities think it’s sustainable to ask students to pay over $90K per year to cheat their way through college?”\nHarper is not a reactionary technophobe. He has written carefully about AI and education for years, and his concern is not that students will use these tools — they already do — but that universities are now complicit in a transaction that hollows out the very thing they claim to sell. That anxiety deserves to be taken seriously. But framing the question this way blocks the more important one.\nHe is right that this decision raises serious concerns. Releasing AI into the classroom renews a foundational debate about what learning actually means. But the “cheat machine” metaphor conceals a much deeper rupture.\nRead Alivisatos’ letter carefully, and three distinct promises converge inside it. First, the possibilities AI opens up for research and knowledge production. Second, the commitment to teach students how “to think with machines, how to think without them, and how to think about them.” Third, the ambition to relieve staff of administrative burden. These goals do not contradict each other, but they do not necessarily reinforce each other either. And the letter does not appear to notice the tension. The problem is not whether AI exists. The problem is whether the university still knows what it is selling.\nThe value proposition of higher education has historically rested on three things: acquiring knowledge, learning to think and connecting with a community. AI intervenes radically in access to information. A student who asks Claude to summarize John Rawls before a seminar has not learned to read his work. A student who uses it to draft the opening paragraph of an argument has not learned to face the blank page. The capacity to sit with a hard problem before reaching for assistance, to tolerate the discomfort of not knowing, is not a byproduct of education. It is close to the point of it.\nDigital ethics scholar Luciano Floridi, in his book “The Ethics of Artificial Intelligence,” warns that AI risks not merely replacing old skills but devaluing them. His concern is not that humans will stop knowing things, but that “deskilling in sensitive, skill-intensive domains” creates fragilities that only become visible when the technology fails.\nA university classroom is exactly such a domain. The ability to construct an argument under pressure, to read a difficult text without a summary that is one click away, these are not quaint habits from a pre-digital era. They are capacities that, once lost at scale, are not easily recovered. Equipping students with those capacities remains something a university can still do. The question is whether it will.\nWhat Harper of The Atlantic misses is this: The problem is not that the U. of C. gave students AI. The enterprise license carries a real practical benefit: data protection and an obstacle to the tiered access that lets wealthier students use more powerful tools. The genuine problem is that this decision obligated the university to redefine its own educational philosophy. The letter does not do that. Instead it presents ambiguity as flexibility: “Policies vary by course,” it says, and “instructors at all levels are navigating a fast-evolving landscape.” These statements may be true. But they read less like leadership and more like a transfer of responsibility.\nThe U. of C. has historically claimed to keep alive questions that resist consensus. AI is the test of that claim. If the tool simply makes the assignment less painful, Harper’s question remains standing.\nAlivisatos closes his letter with confidence that “the results of today’s announcement will serve to enable our community to find the best paths forward in the domains of research, learning, and operations with informed experience and a spirit of experimentation.” That is a promising statement. But a spirit of experimentation is not the same as a theory of education.\nI came to theology after years working as a civil engineer. What drew me to graduate study was not access to information; I had that. It was the experience of being made uncomfortable by ideas I could not yet hold, of writing through confusion rather than around it. That kind of formation does not survive a curriculum built around convenience.\nHarper is right that the question is urgent. He is wrong that the answer is obvious.\nThe harder truth is that no one yet knows what a university looks like when it takes AI seriously and takes learning seriously at the same time. If this partnership is to mean anything beyond a licensing agreement, the U. of C. needs to say clearly what it believes education is for and then build a policy that protects it.\nYunus Emre Tozal is a civil engineer in Chicago and a graduate student at Catholic Theological Union.\n©2026 Chicago Tribune. 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Do universities think it’s sustainable to ask students to pay over $90K per year to cheat their way through college?”\nHarper is not a reactionary technophobe.","extraction":{"state":"ok","confidence":0.9,"error":null,"explanation":"High confidence: full text extraction produced 5396 characters.","diagnostics_url":"/api/diagnose?url=https%3A//www.govtech.com/education/higher-ed/opinion-ai-rollout-begs-the-question-what-is-education-for","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 5396 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":5396,"summary_length":647,"usable_text_length":5396,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":5396,"summary_length":647}}},"display_formats":["compact","card","full","digest_section","json"]},"daily_stack_record":{"title":"Opinion: AI Rollout Begs the Question: What is Education For? - GovTech","url":"https://www.govtech.com/education/higher-ed/opinion-ai-rollout-begs-the-question-what-is-education-for","summary":"The letter features carefully composed language: “Spanning the domains of research, education, and operations: these are powerful tools that are being made available to help individuals find ways to improve our pursuit of knowledge.”\nTyler Austin Harper, a staff writer at The Atlantic and a former professor, responded to the news on X with a pointed challenge: “Genuinely, can someone give me the steel man version of the rationale behind the new ‘give everyone AI’ university strategy? 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He has written carefully about AI and education for years, and his concern is not that students will use these tools — they already do — but that universities are now complicit in a transaction that hollows out the very thing they claim to sell. That anxiety deserves to be taken seriously. But framing the question this way blocks the more important one.\nHe is right that this decision raises serious concerns. Releasing AI into the classroom renews a foundational debate about what learning actually means. But the “cheat machine” metaphor conceals a much deeper rupture.\nRead Alivisatos’ letter carefully, and three distinct promises converge inside it. First, the possibilities AI opens up for research and knowledge production. Second, the commitment to teach students how “to think with machines, how to think without them, and how to think about them.” Third, the ambition to relieve staff of administrative burden. These goals do not contradict each other, but they do not necessarily reinforce each other either. And the letter does not appear to notice the tension. The problem is not whether AI exists. The problem is whether the university still knows what it is selling.\nThe value proposition of higher education has historically rested on three things: acquiring knowledge, learning to think and connecting with a community. AI intervenes radically in access to information. A student who asks Claude to summarize John Rawls before a seminar has not learned to read his work. A student who uses it to draft the opening paragraph of an argument has not learned to face the blank page. The capacity to sit with a hard problem before reaching for assistance, to tolerate the discomfort of not knowing, is not a byproduct of education. It is close to the point of it.\nDigital ethics scholar Luciano Floridi, in his book “The Ethics of Artificial Intelligence,” warns that AI risks not merely replacing old skills but devaluing them. His concern is not that humans will stop knowing things, but that “deskilling in sensitive, skill-intensive domains” creates fragilities that only become visible when the technology fails.\nA university classroom is exactly such a domain. The ability to construct an argument under pressure, to read a difficult text without a summary that is one click away, these are not quaint habits from a pre-digital era. They are capacities that, once lost at scale, are not easily recovered. Equipping students with those capacities remains something a university can still do. The question is whether it will.\nWhat Harper of The Atlantic misses is this: The problem is not that the U. of C. gave students AI. The enterprise license carries a real practical benefit: data protection and an obstacle to the tiered access that lets wealthier students use more powerful tools. The genuine problem is that this decision obligated the university to redefine its own educational philosophy. The letter does not do that. Instead it presents ambiguity as flexibility: “Policies vary by course,” it says, and “instructors at all levels are navigating a fast-evolving landscape.” These statements may be true. But they read less like leadership and more like a transfer of responsibility.\nThe U. of C. has historically claimed to keep alive questions that resist consensus. AI is the test of that claim. If the tool simply makes the assignment less painful, Harper’s question remains standing.\nAlivisatos closes his letter with confidence that “the results of today’s announcement will serve to enable our community to find the best paths forward in the domains of research, learning, and operations with informed experience and a spirit of experimentation.” That is a promising statement. But a spirit of experimentation is not the same as a theory of education.\nI came to theology after years working as a civil engineer. What drew me to graduate study was not access to information; I had that. It was the experience of being made uncomfortable by ideas I could not yet hold, of writing through confusion rather than around it. That kind of formation does not survive a curriculum built around convenience.\nHarper is right that the question is urgent. 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He has written carefully about AI and education for years, and his concern is not that students will use these tools — they already do — but that universities are now complicit in a transaction that hollows out the very thing they claim to sell. That anxiety deserves to be taken seriously. But framing the question this way blocks the more important one.\nHe is right that this decision raises serious concerns. Releasing AI into the classroom renews a foundational debate about what learning actually means. But the “cheat machine” metaphor conceals a much deeper rupture.\nRead Alivisatos’ letter carefully, and three distinct promises converge inside it. First, the possibilities AI opens up for research and knowledge production. Second, the commitment to teach students how “to think with machines, how to think without them, and how to think about them.” Third, the ambition to relieve staff of administrative burden. These goals do not contradict each other, but they do not necessarily reinforce each other either. And the letter does not appear to notice the tension. The problem is not whether AI exists. The problem is whether the university still knows what it is selling.\nThe value proposition of higher education has historically rested on three things: acquiring knowledge, learning to think and connecting with a community. AI intervenes radically in access to information. A student who asks Claude to summarize John Rawls before a seminar has not learned to read his work. A student who uses it to draft the opening paragraph of an argument has not learned to face the blank page. The capacity to sit with a hard problem before reaching for assistance, to tolerate the discomfort of not knowing, is not a byproduct of education. It is close to the point of it.\nDigital ethics scholar Luciano Floridi, in his book “The Ethics of Artificial Intelligence,” warns that AI risks not merely replacing old skills but devaluing them. His concern is not that humans will stop knowing things, but that “deskilling in sensitive, skill-intensive domains” creates fragilities that only become visible when the technology fails.\nA university classroom is exactly such a domain. The ability to construct an argument under pressure, to read a difficult text without a summary that is one click away, these are not quaint habits from a pre-digital era. They are capacities that, once lost at scale, are not easily recovered. Equipping students with those capacities remains something a university can still do. The question is whether it will.\nWhat Harper of The Atlantic misses is this: The problem is not that the U. of C. gave students AI. The enterprise license carries a real practical benefit: data protection and an obstacle to the tiered access that lets wealthier students use more powerful tools. The genuine problem is that this decision obligated the university to redefine its own educational philosophy. The letter does not do that. Instead it presents ambiguity as flexibility: “Policies vary by course,” it says, and “instructors at all levels are navigating a fast-evolving landscape.” These statements may be true. But they read less like leadership and more like a transfer of responsibility.\nThe U. of C. has historically claimed to keep alive questions that resist consensus. AI is the test of that claim. If the tool simply makes the assignment less painful, Harper’s question remains standing.\nAlivisatos closes his letter with confidence that “the results of today’s announcement will serve to enable our community to find the best paths forward in the domains of research, learning, and operations with informed experience and a spirit of experimentation.” That is a promising statement. But a spirit of experimentation is not the same as a theory of education.\nI came to theology after years working as a civil engineer. What drew me to graduate study was not access to information; I had that. It was the experience of being made uncomfortable by ideas I could not yet hold, of writing through confusion rather than around it. That kind of formation does not survive a curriculum built around convenience.\nHarper is right that the question is urgent. He is wrong that the answer is obvious.\nThe harder truth is that no one yet knows what a university looks like when it takes AI seriously and takes learning seriously at the same time. If this partnership is to mean anything beyond a licensing agreement, the U. of C. needs to say clearly what it believes education is for and then build a policy that protects it.\nYunus Emre Tozal is a civil engineer in Chicago and a graduate student at Catholic Theological Union.\n©2026 Chicago Tribune. 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Do universities think it’s sustainable to ask students to pay over $90K per year to cheat their way through college?”\nHarper is not a reactionary technophobe.","source":"GovTech","date":"2026-07-24T17:46:40+00:00","content":"The letter features carefully composed language: “Spanning the domains of research, education, and operations: these are powerful tools that are being made available to help individuals find ways to improve our pursuit of knowledge.”\nTyler Austin Harper, a staff writer at The Atlantic and a former professor, responded to the news on X with a pointed challenge: “Genuinely, can someone give me the steel man version of the rationale behind the new ‘give everyone AI’ university strategy? What is the theory of the case here? Do universities think it’s sustainable to ask students to pay over $90K per year to cheat their way through college?”\nHarper is not a reactionary technophobe. He has written carefully about AI and education for years, and his concern is not that students will use these tools — they already do — but that universities are now complicit in a transaction that hollows out the very thing they claim to sell. That anxiety deserves to be taken seriously. But framing the question this way blocks the more important one.\nHe is right that this decision raises serious concerns. Releasing AI into the classroom renews a foundational debate about what learning actually means. But the “cheat machine” metaphor conceals a much deeper rupture.\nRead Alivisatos’ letter carefully, and three distinct promises converge inside it. First, the possibilities AI opens up for research and knowledge production. Second, the commitment to teach students how “to think with machines, how to think without them, and how to think about them.” Third, the ambition to relieve staff of administrative burden. These goals do not contradict each other, but they do not necessarily reinforce each other either. And the letter does not appear to notice the tension. The problem is not whether AI exists. The problem is whether the university still knows what it is selling.\nThe value proposition of higher education has historically rested on three things: acquiring knowledge, learning to think and connecting with a community. AI intervenes radically in access to information. A student who asks Claude to summarize John Rawls before a seminar has not learned to read his work. A student who uses it to draft the opening paragraph of an argument has not learned to face the blank page. The capacity to sit with a hard problem before reaching for assistance, to tolerate the discomfort of not knowing, is not a byproduct of education. It is close to the point of it.\nDigital ethics scholar Luciano Floridi, in his book “The Ethics of Artificial Intelligence,” warns that AI risks not merely replacing old skills but devaluing them. His concern is not that humans will stop knowing things, but that “deskilling in sensitive, skill-intensive domains” creates fragilities that only become visible when the technology fails.\nA university classroom is exactly such a domain. The ability to construct an argument under pressure, to read a difficult text without a summary that is one click away, these are not quaint habits from a pre-digital era. They are capacities that, once lost at scale, are not easily recovered. Equipping students with those capacities remains something a university can still do. The question is whether it will.\nWhat Harper of The Atlantic misses is this: The problem is not that the U. of C. gave students AI. The enterprise license carries a real practical benefit: data protection and an obstacle to the tiered access that lets wealthier students use more powerful tools. The genuine problem is that this decision obligated the university to redefine its own educational philosophy. The letter does not do that. Instead it presents ambiguity as flexibility: “Policies vary by course,” it says, and “instructors at all levels are navigating a fast-evolving landscape.” These statements may be true. But they read less like leadership and more like a transfer of responsibility.\nThe U. of C. has historically claimed to keep alive questions that resist consensus. AI is the test of that claim. If the tool simply makes the assignment less painful, Harper’s question remains standing.\nAlivisatos closes his letter with confidence that “the results of today’s announcement will serve to enable our community to find the best paths forward in the domains of research, learning, and operations with informed experience and a spirit of experimentation.” That is a promising statement. But a spirit of experimentation is not the same as a theory of education.\nI came to theology after years working as a civil engineer. What drew me to graduate study was not access to information; I had that. It was the experience of being made uncomfortable by ideas I could not yet hold, of writing through confusion rather than around it. That kind of formation does not survive a curriculum built around convenience.\nHarper is right that the question is urgent. He is wrong that the answer is obvious.\nThe harder truth is that no one yet knows what a university looks like when it takes AI seriously and takes learning seriously at the same time. If this partnership is to mean anything beyond a licensing agreement, the U. of C. needs to say clearly what it believes education is for and then build a policy that protects it.\nYunus Emre Tozal is a civil engineer in Chicago and a graduate student at Catholic Theological Union.\n©2026 Chicago Tribune. 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