Duty LXD-8235
Provides a general-purpose AI model, in Egypt
Law No. 175 of 2018, Service Providers' Duty to Secure Data and Informationsince 2 lines
Law No. 175 of 2018, Art. 2 (First) (service providers' duty to secure data) · Read the law's page
- This binds a service provider, any natural or legal person who provides information and communication technology services to users, including one who processes or stores information directly or on behalf of others (Article 1; reached by declaring any activity that provides such a service to users).
- Secure the data and information you handle to ensure its confidentiality, prevent unauthorized access, and protect against damage (Article 2, First).
Law No. 175 of 2018, Duty of a Legal Entity's Manager to Report a Crime Against Its Systemsince 2 lines
Law No. 175 of 2018, Art. 35 (duty to report a crime against an entity's system) · Read the law's page
- This binds any person responsible for the actual management of a legal entity whose designated website, account, email or information system is subjected to a crime stipulated in Law No. 175 of 2018, whether or not any personal data is involved.
- Report the crime to the competent authorities upon becoming aware of it (Article 35).
Guide to Egypt's National AI Governance Framework (Edition 2.0)since 8 lines
Guide to Egypt's National AI Governance Framework, Edition 2.0, Document ID EG-NCAI-GOV-FW-2026-02, National Council for Artificial Intelligence, Quantum Computing, and Emerging Technologies, prepared by the Egyptian Center for Responsible AI (ECRAI), authorized by the Minister of Communications and Information Technology as Chairman of the NCAI,
- Do not deploy an AI system that poses unacceptable risk through social profiling or manipulative behavioral interference.
- Complete an AI Ethical Impact Assessment before deploying a high risk AI system covering critical infrastructure or biometrics.
- Complete a Technical Conformity Assessment before deploying a high risk AI system covering critical infrastructure or biometrics.
- Continuously monitor a high risk AI system after deployment.
- Report incidents involving a high risk AI system.
- Disclose machine interaction to users of a chatbot, emotion recognition tool, or generative AI system.
- Label or watermark AI generated content, including deepfakes.
- Document the provenance of training data and copyright compliance for a general purpose AI model.