For Educators

Uphold academic integrity in the age of AI art

Students are submitting AI-generated artwork as their own across AP portfolios, college applications, and coursework. DeepSight gives educators the forensic tools to identify synthetic images — fairly, quickly, and with documented evidence.

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63%

Of teachers reported student AI use in 2023-24

<3s

Time to analyze a submission

30+

AI art generators detected


The Challenge

What educators are up against

01

AI art in student submissions

Students increasingly use Midjourney, DALL-E, and other generators to produce artwork submitted as original work. The output quality is now indistinguishable from student-created art to the untrained eye.

02

AP Art and portfolio enforcement

College Board and university admissions require original student work. Educators need a reliable way to verify that portfolio pieces are authentically student-created, especially when physical originals are unavailable.

03

Inconsistent institutional policies

Schools lack standardized tools for AI image detection. Individual teachers are left to make subjective judgments, leading to inconsistent enforcement and potential accusations of unfairness.

04

Preserving creative learning

The purpose of art education is the creative process itself. When students bypass that process with AI generation, they miss the skill development, experimentation, and artistic growth that assignments are designed to foster.


The Solution

How DeepSight helps

Objective forensic analysis

Replace subjective suspicion with objective evidence. DeepSight provides confidence-scored verdicts backed by forensic data, giving educators documented grounds for academic integrity conversations.

Generator identification

When an image is flagged as AI-generated, DeepSight identifies the likely source tool (Midjourney, DALL-E, Stable Diffusion, etc.), providing specific evidence rather than a vague suspicion.

Quick verification workflow

Upload a student submission and receive results in seconds. No forensics expertise required. The report is clear enough for administrators, parents, and students to understand.

Fair and consistent standards

Apply the same detection standard across all students. Algorithmic analysis removes personal bias from the verification process, supporting equitable enforcement of integrity policies.


Your Workflow

How it works

1

Receive a student artwork or image submission

2

Upload the image to DeepSight for analysis

3

Review the verdict, confidence score, and generator identification

4

Use the forensic report to support academic integrity proceedings if needed


Common Questions

Frequently asked

DeepSight provides confidence scores and forensic evidence, not accusations. We recommend using results as one input in your academic integrity process alongside conversation with the student and review of their creative process documentation.


See it in action

Upload an image and watch the multi-signal cascade work — metadata, forensics, and semantic analysis in real time.

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