Turnitin AI Design Principles
At Turnitin, protecting customers' data is of the utmost importance. With more than 16,000 institutions globally using our solutions, our focus is on providing solutions that support learning integrity and help educators navigate AI integration through transparency and responsible use.
How we design and deliver AI features is guided by five core principles:
Fairness and Inclusion
Design and test AI so it works equitably across diverse users and contexts. Avoid bias, monitor for disparate impact, and keep humans in the loop.
Transparency and Human Centered Design
Make AI understandable. Include clear disclosures and plain language explanations of what it does and its limits.
Privacy, Safety, and Security
Treat data used in AI systems with the same care as all other personal data. Limit use, secure access, and apply techniques like anonymization or pseudonymization.
Learning and Adaptation
Review, test, and refine AI systems regularly. Stay current on emerging research, feedback, and legal standards.
Accountability and Governance
Maintain documentation, risk assessments, and cross-functional reviews so ownership and oversight are clear at every stage.