Bahçeşehir University's institutional regulations on artificial intelligence are brought together here in a single frame. From the overarching policy to implementation procedures and principles, and from the student and staff guides to the risk assessment guide, the official texts of ten documents are published in both Turkish and English.
The documents are PDFs and can be read without leaving this page using the View button; you may also download them or open them in a new tab. Regulations that entered into force with Senate approval can additionally be verified on KAYSİS.
The University's overarching artificial intelligence document. It sets out BAU's human-centred, ethical, trustworthy, fair, inclusive, safe and sustainable approach to AI, together with its core principles and governance understanding. Published as a single Turkish–English text with Senate approval.
Related pagesPolicies & GuidelinesGovernance
An institutional roadmap aligned with the national pillars and governed by human oversight. It defines the objectives, pillars and monitoring framework of AI transformation across teaching, research, community contribution and administration for 2026–2030.
Related pagesGovernance
Sets out when AI applications become subject to institutional assessment, how their risk levels are determined, which proportionate control and approval processes apply, how applications are monitored across their lifecycle, and when they are re-assessed, suspended or terminated.
Related pagesLaw, Ethics & ResponsibilityGovernance
The document governing the establishment, membership, remit, meeting and decision procedures and secretariat services of the AI Steering Committee. The institutional approval process is ongoing; the document will be made available on this page once published.
Related pagesGovernance
The A, B and C categories of AI use that apply in courses, together with academic integrity, output verification, making original contribution visible, protection of personal data and intellectual rights, and the principles of AI use disclosure.
Related pagesAssessmentTeaching & Learning
The purposes for which academic and administrative staff may use AI tools in their daily work and the responsibilities that apply: data classification, output verification, human responsibility and disclosure obligations.
Related pagesDigital Trust StandardsCompetence & Career
Safe use of Microsoft 365 Copilot, Copilot Chat and related features with an institutional BAU account: account and data boundaries, confidential and restricted information, output verification and human responsibility.
Related pagesAI ToolsDigital Trust Standards
The University's approach to processing personal data in line with Law No. 6698 on the Protection of Personal Data and its secondary legislation: the institutional framework, core principles, duties and responsibilities, and data subject rights.
The complementary data protection procedure / sub-directive is being prepared under the coordination of the Office of Legal Counsel.
Related pagesLaw, Ethics & ResponsibilityPolicies & Guidelines
Preliminary review, risk scoring, control, decision and review processes for AI tools in use or planned for use, and how the Risk Assessment Form in Annex 1 is to be applied.
Related pagesAI ToolsLaw, Ethics & Responsibility
Planning AI governance, monthly institutional outputs, risk monitoring, inventory updates and annual reporting within the academic-year cycle, including the committee meeting calendar and allocation of responsibilities.
Related pagesGovernance
These documents complement one another: the AI Policy sets the overarching frame, the Responsible AI Implementation Procedures and Principles together with the Risk Assessment Guide define the implementation and oversight mechanisms, and the student and staff guides govern everyday use. Before an AI tool is used in institutional processes, a risk assessment must be carried out and the responsibilities set out in the relevant guide observed.
In the event of any discrepancy between texts, the Turkish version published on KAYSİS prevails. For feedback, questions and update requests, please contact the AI Competency Unit.
