California Institute of Technology (Caltech)

The responding student will be given 7 calendar days to decide which process to follow. As with the full Board of Control process, responding students may seek the advice and support of another member of the Caltech community in navigating the Early Resolution process.

Evidence locator: Continuous extracted-text characters 27044–27322; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 11-11; text lines 488-491; Lines 488–491; characters 27044–27322; excerpt offset 0–278

Any student with a disability involved in any process outlined in the Honor Code

Evidence locator: Continuous extracted-text characters 3432–3512; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 2-2; text lines 70-70; Lines 70–70; characters 3432–3512; excerpt offset 0–80

Handbook has the right to request reasonable accommodation in order to ensure their

Evidence locator: Continuous extracted-text characters 3516–3599; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 2-2; text lines 71-71; Lines 71–71; characters 3516–3599; excerpt offset 0–83

full and equal participation in the process. Students wishing to request reasonable

Evidence locator: Continuous extracted-text characters 3603–3686; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 2-2; text lines 72-72; Lines 72–72; characters 3603–3686; excerpt offset 0–83

accommodations should make those requests directly to Caltech Accessibility

Evidence locator: Continuous extracted-text characters 3690–3765; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 2-2; text lines 73-73; Lines 73–73; characters 3690–3765; excerpt offset 0–75

Services for Students (CASS). Students do not have to disclose information about the

Evidence locator: Continuous extracted-text characters 3769–3853; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 2-2; text lines 74-74; Lines 74–74; characters 3769–3853; excerpt offset 0–84

complaint or charge to CASS to request reasonable accommodation except to the

Evidence locator: Continuous extracted-text characters 3857–3934; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 2-2; text lines 75-75; Lines 75–75; characters 3857–3934; excerpt offset 0–77

extent that it may assist in the determination of reasonable accommodations.

Evidence locator: Continuous extracted-text characters 3938–4014; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 2-2; text lines 76-76; Lines 76–76; characters 3938–4014; excerpt offset 0–76

Accommodations are determined on an individual basis by CASS staff and

Evidence locator: Continuous extracted-text characters 4018–4088; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 2-2; text lines 77-77; Lines 77–77; characters 4018–4088; excerpt offset 0–70

implemented in consultation with the Dean’s office. Examples of reasonable

Evidence locator: Continuous extracted-text characters 4092–4166; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 2-2; text lines 78-78; Lines 78–78; characters 4092–4166; excerpt offset 0–74

accommodation include but are not limited to sign language interpretation, real-time

Evidence locator: Continuous extracted-text characters 4170–4254; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 2-2; text lines 79-79; Lines 79–79; characters 4170–4254; excerpt offset 0–84

1

Evidence locator: Continuous extracted-text characters 4349–4350; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 2-2; text lines 83-83; Lines 83–83; characters 4349–4350; excerpt offset 0–1

communication access during hearings, large print documents, extended time to

Evidence locator: Continuous extracted-text characters 4357–4434; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 3-3; text lines 84-84; Lines 84–84; characters 4357–4434; excerpt offset 0–77

review documents, or assistance with transcribing questions during interviews or

Evidence locator: Continuous extracted-text characters 4440–4520; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 3-3; text lines 85-85; Lines 85–85; characters 4440–4520; excerpt offset 0–80

hearings. Students are responsible for requesting accommodations in a timely manner;

Evidence locator: Continuous extracted-text characters 4526–4610; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 3-3; text lines 86-86; Lines 86–86; characters 4526–4610; excerpt offset 0–84

failure to do so may result in a delay in the process.

Evidence locator: Continuous extracted-text characters 4616–4670; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 3-3; text lines 87-87; Lines 87–87; characters 4616–4670; excerpt offset 0–54

To an advisor who must be a member of the Caltech community (but who may not be an attorney). Student Affairs staff, Board of Control representatives, and Conduct Review Committee members are all trained to serve as advisors to respondents going through conduct processes.

Evidence locator: Continuous extracted-text characters 5464–5775; extracted text SHA256 7e243de8a77f598c4af53899160c05b511705fc1149ed83c8ab9827ae9e482dc; raw source SHA256 59b3c16fc62be458f0fc1448f4fb922a6b9dd3fe109e567140d755ccefb94c5f; Physical pages 3-3; text lines 106-109; Lines 106–109; characters 5464–5775; excerpt offset 0–311

Incidents that are not handled by the Dean of Graduate Studies include accusations of research misconduct, which are handled by the Office of Research Compliance; grade disputes, which are handled by the office of the provost.

Evidence locator: Continuous extracted-text characters 14730–14956; extracted text SHA256 89da1d8f1b02bd06b115841f4e380fa8edbedcb589a607e85b7100b7aa6b3ab5; raw source SHA256 5c0880af3d1855bfa7e044b5edd4548990c6f4b455f389110feda2064192e47b; Catalog Research Compliance line 103; Lines 103–103; characters 14730–14956; excerpt offset 0–226

At present, students submitting work for HSS courses may use generative AI tools only in ways that are explicitly allowed by the course instructor in the course materials. Any usage that is not specifically allowed should be assumed to be disallowed.

Evidence locator: Continuous extracted-text characters 409–659; extracted text SHA256 99c04c9785a0f8a6b533961c3e57f0220479b8319c55e8026a46722eb445ad2e; raw source SHA256 65981a33980d337c75dff63fda5e9de5625f28527e036e4734903f5dd0200155; HSS Policy lines 13-17; Lines 23–23; characters 409–659; excerpt offset 0–250

This policy applies to all assignments, including major papers and exams as well as smaller assignments like discussion board posts, reflections, and problem sets.

Evidence locator: Continuous extracted-text characters 660–823; extracted text SHA256 99c04c9785a0f8a6b533961c3e57f0220479b8319c55e8026a46722eb445ad2e; raw source SHA256 65981a33980d337c75dff63fda5e9de5625f28527e036e4734903f5dd0200155; HSS Policy lines 19-21; Lines 23–23; characters 660–823; excerpt offset 0–163

Students will also be expected to follow specific course guidance for documenting any permitted use of these tools.

Evidence locator: Continuous extracted-text characters 824–939; extracted text SHA256 99c04c9785a0f8a6b533961c3e57f0220479b8319c55e8026a46722eb445ad2e; raw source SHA256 65981a33980d337c75dff63fda5e9de5625f28527e036e4734903f5dd0200155; HSS Policy lines 23-25; Lines 23–23; characters 824–939; excerpt offset 0–115

Caltech students, faculty, and staff are guided by the Honor Code and policies of AI use as an academic tool by students will be determined by individual departments and/or individual faculty.

Evidence locator: Continuous extracted-text characters 3559–3751; extracted text SHA256 02a8d5e40e6a83e1c304beaa31b5ea33b60022c85844d57f7fca5d83359128d0; raw source SHA256 ab28ae8c0c0c933bb3f32f52faec721d2cc70756b0fb3f0ec7458801afdb5322; Admissions Guidelines line 67; Lines 67–67; characters 3559–3751; excerpt offset 0–192

3.1 Approved Platforms & Connectivity 1. Primary LLM inference for Caltech data must use Amazon Bedrock or other IMSS-approved platforms with no provider training on Caltech prompts/data. 2. Custom training/fine-tuning must be performed on Amazon SageMaker or IMSS-approved secured environments.

Evidence locator: Continuous extracted-text characters 4123–4449; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 3-3; text lines 118-124; Lines 118–124; characters 4123–4449; excerpt offset 0–326

In our teaching, HSS instructors prioritize student learning, and this commitment drives our policies on the use of generative AI in the classroom. Generative AI may promote learning in some contexts and impede it in others.

Evidence locator: Continuous extracted-text characters 183–407; extracted text SHA256 99c04c9785a0f8a6b533961c3e57f0220479b8319c55e8026a46722eb445ad2e; raw source SHA256 65981a33980d337c75dff63fda5e9de5625f28527e036e4734903f5dd0200155; HSS Policy lines 29-33; Lines 21–21; characters 183–407; excerpt offset 0–224

At this time, Caltech's Undergraduate and Graduate Deans, the Center for Teaching, Learning, and Outreach, and the Hixon Writing Center strongly discourage the use of GenAI tools designed to detect GenAI use in student writing. First and foremost, these tools are not reliable. They produce false positives and false negatives, and they are not an aid to investigations into academic dishonesty cases.

Evidence locator: Continuous extracted-text characters 870–1271; extracted text SHA256 93c44aa882c256130720c53df2151bff64b30e994ff742320d396d9df4654e79; raw source SHA256 159957880ab95c1c9b12d2485001962c2f5659492fc9ca0a952ad2e7b5790780; CTLO Guidance lines 26-26; Lines 26–26; characters 870–1271; excerpt offset 0–401

You may not use generative AI tools (e.g. ChatGPT, Copilot, Colab’s built-in AI) in this course. This is not to deny the increasingly important role that LLMs play in the modern practice of programming and research; we merely note that, in an instructional capacity in an introductory course, we generally find them counterproductive. The lone exception is that, on rare occasions, we may explicitly ask you to engage with AI tools on a per-problem basis. These cases will be clearly marked on the respective homework sets.

Evidence locator: Continuous extracted-text characters 5100–5624; extracted text SHA256 953b69ab05dc6b27fd040231f34ca1238c98f7f62d49af0bb951f99a6eff97cd; raw source SHA256 b8b2f8fcef2e8d2862bd30ca09c425d59b3a7e9edede284744690987fb2b0c23; Bi 1 2026 Policies lines 90-94; Lines 90–94; characters 5100–5624; excerpt offset 0–524

Do not enter any restricted or confidential Caltech information into consumer AI tools (ChatGPT Free/Plus, Gemini, Claude, Perplexity, etc.) Examples of restricted or confidential data are: Data covered by FERPA and HIPAA Student data Intellectual property and unpublished research Export‑controlled data Sensitive data from human resources, business and finance Information created, received, stored, or processed as part of academic, research, or administrative activities.

Evidence locator: Continuous extracted-text characters 1186–1667; extracted text SHA256 93d359d6527c529af208d3a666a6c8cbc156c1976146ec1fb40e8f68f445aa55; raw source SHA256 2d808ad12538ac65048c56bc01b8b66e1be65dbbb03fb0768a99a6396a0112f9; IMSS Guidance lines 33-45; Lines 33–45; characters 1186–1667; excerpt offset 0–481

4. Public, consumer, or unsanctioned GenAI tools are prohibited for Restricted/Confidential data unless IMSS issues a specific exception with compensating controls.

Evidence locator: Continuous extracted-text characters 4656–4836; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 3-3; text lines 130-132; Lines 130–132; characters 4656–4836; excerpt offset 0–180

Exceptions require the Research Compliance Officer, CIO and CISO (or

Evidence locator: Continuous extracted-text characters 8128–8196; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 5-5; text lines 212-212; Lines 212–212; characters 8128–8196; excerpt offset 0–68

delegate) approval with compensating controls and an agreed sunset date.

Evidence locator: Continuous extracted-text characters 8207–8279; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 5-5; text lines 213-213; Lines 213–213; characters 8207–8279; excerpt offset 0–72

Do not use Generative AI (GenAI) tools as a system of record. GenAI platforms are not approved for long-term storage, official records management, or institutional data retention. Users must ensure that all records requiring retention are stored in approved Caltech systems in accordance with established policies and regulatory requirements.

Evidence locator: Continuous extracted-text characters 641–984; extracted text SHA256 c7b3d909bf52ec66b6963162660e3aa6bd728149ee7b9e296996ad3f9c0a9273; raw source SHA256 1056e32c778f124cc30af82f2c28d9676e25e7c1e11e666900b7b4158c0929fa; IMSS AI Tools lines 31-33; Lines 31–33; characters 641–984; excerpt offset 0–343

3.1 Approved Platforms & Connectivity 1. Primary LLM inference for Caltech data must use Amazon Bedrock or other IMSS-approved platforms with no provider training on Caltech prompts/data. 2. Custom training/fine-tuning must be performed on Amazon SageMaker or IMSS-approved secured environments.

Evidence locator: Continuous extracted-text characters 4123–4449; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 3-3; text lines 118-124; Lines 118–124; characters 4123–4449; excerpt offset 0–326

4. Public, consumer, or unsanctioned GenAI tools are prohibited for Restricted/Confidential data unless IMSS issues a specific exception with compensating controls.

Evidence locator: Continuous extracted-text characters 4656–4836; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 3-3; text lines 130-132; Lines 130–132; characters 4656–4836; excerpt offset 0–180

3. All AI traffic with Caltech data must use private networking (e.g., VPC Endpoints/PrivateLink, Direct Connect) and encryption in transit and at rest (TLS 1.2+; KMS CMKs).

Evidence locator: Continuous extracted-text characters 4457–4648; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 3-3; text lines 126-128; Lines 126–128; characters 4457–4648; excerpt offset 0–191

Exceptions require the Research Compliance Officer, CIO and CISO (or

Evidence locator: Continuous extracted-text characters 8128–8196; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 5-5; text lines 212-212; Lines 212–212; characters 8128–8196; excerpt offset 0–68

delegate) approval with compensating controls and an agreed sunset date.

Evidence locator: Continuous extracted-text characters 8207–8279; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 5-5; text lines 213-213; Lines 213–213; characters 8207–8279; excerpt offset 0–72

3. Agent Controls: Agents must only invoke approved tools with explicit scopes and least-privilege credentials; no arbitrary code execution in production without sandboxing.

Evidence locator: Continuous extracted-text characters 6586–6777; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 5-5; text lines 176-178; Lines 176–178; characters 6586–6777; excerpt offset 0–191

Violations may result in access revocation, removal of workloads, and disciplinary actions per Caltech IMSS. Persistent violations are escalated to the CIO, CISO, OGC and appropriate governance bodies.

Evidence locator: Continuous extracted-text characters 13266–13467; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 9-9; text lines 361-363; Lines 361–363; characters 13266–13467; excerpt offset 0–201

3. Human subjects / sensitive research: Requires IRB approvals and IMSS data-use review before any LLM processing.

Evidence locator: Continuous extracted-text characters 6097–6217; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 4-4; text lines 163-164; Lines 163–164; characters 6097–6217; excerpt offset 0–120

Anthropic Claude Premium Available $600/user/year PTA via access.caltech**

Evidence locator: Continuous extracted-text characters 1247–1324; extracted text SHA256 c7b3d909bf52ec66b6963162660e3aa6bd728149ee7b9e296996ad3f9c0a9273; raw source SHA256 1056e32c778f124cc30af82f2c28d9676e25e7c1e11e666900b7b4158c0929fa; IMSS AI Tools Table lines 53-59; Lines 53–59; characters 1247–1324; excerpt offset 0–77

Anthropic Claude Standard Available $240/user/year PTA via access.caltech**

Evidence locator: Continuous extracted-text characters 1167–1245; extracted text SHA256 c7b3d909bf52ec66b6963162660e3aa6bd728149ee7b9e296996ad3f9c0a9273; raw source SHA256 1056e32c778f124cc30af82f2c28d9676e25e7c1e11e666900b7b4158c0929fa; IMSS AI Tools Table lines 45-51; Lines 45–51; characters 1167–1245; excerpt offset 0–78

Microsoft Copilot Web Available Free

Evidence locator: Continuous extracted-text characters 1670–1708; extracted text SHA256 c7b3d909bf52ec66b6963162660e3aa6bd728149ee7b9e296996ad3f9c0a9273; raw source SHA256 1056e32c778f124cc30af82f2c28d9676e25e7c1e11e666900b7b4158c0929fa; IMSS AI Tools Table lines 99-103; Lines 99–103; characters 1670–1708; excerpt offset 0–38

Microsoft 365 Copilot for Windows 11 Available Free

Evidence locator: Continuous extracted-text characters 1615–1668; extracted text SHA256 c7b3d909bf52ec66b6963162660e3aa6bd728149ee7b9e296996ad3f9c0a9273; raw source SHA256 1056e32c778f124cc30af82f2c28d9676e25e7c1e11e666900b7b4158c0929fa; IMSS AI Tools Table lines 93-97; Lines 93–97; characters 1615–1668; excerpt offset 0–53

Zoom AI Companion Available Free

Evidence locator: Continuous extracted-text characters 1710–1744; extracted text SHA256 c7b3d909bf52ec66b6963162660e3aa6bd728149ee7b9e296996ad3f9c0a9273; raw source SHA256 1056e32c778f124cc30af82f2c28d9676e25e7c1e11e666900b7b4158c0929fa; IMSS AI Tools Table lines 105-109; Lines 105–109; characters 1710–1744; excerpt offset 0–34

Microsoft 365 Copilot for Education Coming Soon $216/user/year PTA via access.caltech**

Evidence locator: Continuous extracted-text characters 1523–1613; extracted text SHA256 c7b3d909bf52ec66b6963162660e3aa6bd728149ee7b9e296996ad3f9c0a9273; raw source SHA256 1056e32c778f124cc30af82f2c28d9676e25e7c1e11e666900b7b4158c0929fa; IMSS AI Tools Table lines 85-91; Lines 85–91; characters 1523–1613; excerpt offset 0–90

1. Security & Data Processing Addendum required for any non-AWS LLM vendor; no training on Caltech data clauses is a mandatory requirement.

Evidence locator: Continuous extracted-text characters 7385–7533; extracted text SHA256 08419c903b343881417bc45ea170b7e7e614956aa681e0242db84e857f1e2898; raw source SHA256 431ef2c9286a630c09fe9a1b1325cb2b1698bc23e9c6ef4805251641f08582b8; Physical pages 5-5; text lines 194-195; Lines 194–195; characters 7385–7533; excerpt offset 0–148

As you use GenAI and LLM technologies in your work at Caltech, we ask that you apply these four guiding principles to your practice: disclosure, data and information protection, content responsibility, and Caltech's honor code. Disclosure: When using GenAI, always disclose promptly, or reference the use of GenAI tools and application plug-ins, as applicable.

Evidence locator: Continuous extracted-text characters 2379–2740; extracted text SHA256 93d359d6527c529af208d3a666a6c8cbc156c1976146ec1fb40e8f68f445aa55; raw source SHA256 2d808ad12538ac65048c56bc01b8b66e1be65dbbb03fb0768a99a6396a0112f9; IMSS Guidance lines 55-57; Lines 55–57; characters 2379–2740; excerpt offset 0–361

What are some examples of unethical uses of AI for Caltech admissions essays? Copying and pasting directly from an AI generator Relying on AI generated content to outline or draft an essay Replacing your unique voice and tone with AI generated content Translating an essay written in another language

Evidence locator: Continuous extracted-text characters 2212–2516; extracted text SHA256 02a8d5e40e6a83e1c304beaa31b5ea33b60022c85844d57f7fca5d83359128d0; raw source SHA256 ab28ae8c0c0c933bb3f32f52faec721d2cc70756b0fb3f0ec7458801afdb5322; Admissions Guidelines lines 45-53; Lines 45–53; characters 2212–2516; excerpt offset 0–304

What are some examples of ethical uses of AI for Caltech admissions essays? Using AI tools, like Grammarly or Microsoft Editor, to review grammar and spelling of your completed essays Generating questions or exercises to help kick start the brainstorming process Using AI to research the college application process

Evidence locator: Continuous extracted-text characters 2518–2836; extracted text SHA256 02a8d5e40e6a83e1c304beaa31b5ea33b60022c85844d57f7fca5d83359128d0; raw source SHA256 ab28ae8c0c0c933bb3f32f52faec721d2cc70756b0fb3f0ec7458801afdb5322; Admissions Guidelines lines 55-61; Lines 55–61; characters 2518–2836; excerpt offset 0–318

If you are still wondering whether your use of AI in crafting your application is ethical, ask yourself whether it would be ethical to have a trusted adult perform the same task you are asking of ChatGPT. Would a teacher be able to review your essay for grammatical and spelling errors? Of course! Would that same teacher write a draft of an essay for you to tweak and then submit? Definitely not.

Evidence locator: Continuous extracted-text characters 2838–3235; extracted text SHA256 02a8d5e40e6a83e1c304beaa31b5ea33b60022c85844d57f7fca5d83359128d0; raw source SHA256 ab28ae8c0c0c933bb3f32f52faec721d2cc70756b0fb3f0ec7458801afdb5322; Admissions Guidelines lines 63-63; Lines 63–63; characters 2838–3235; excerpt offset 0–397

All Fall 2027 applicants must review Caltech's guidelines on the ethical use of AI before submitting their supplemental essays. Failure to comply with the Ethical Use of AI guidelines may result in the rescission of your admission to Caltech.

Evidence locator: Ethics and AI at Caltech; opening paragraph. Extracted paragraph text SHA256 7eafce49b2fa9daf16121e4859f0b50690917f28f0f2f92329628f4f6dd4b01b; characters 0–242.