Our work

Practical integrity for real institutions.

We focus on the rules, decisions, relationships, and resources that allow honesty and innovation to coexist.

Help academic communities distinguish permitted, restricted, disclosed, and prohibited uses of AI and other tools.

Frame modern tools as part of academic practice while keeping authorship, learning, and truthful representation visible.

Encourage fair review that considers context and evidence rather than treating automated signals as final decisions.

Explore partnerships between organizations with available computing capacity and legitimate education or research needs.

Institutional practice

Good policy should work before a dispute begins.

Strong standards are understandable, teachable, and suited to the actual work people are being asked to do.