D2. Establish an AI project ethic.

E2.9. Manage complexity.

D2.1. Identify key ethical elements.

E2.10. Demonstrate a sense of organization.

D2.2. Gather ethical considerations from team members.

E2.11. Demonstrate proactivity.

D2.3. Propose solutions to ethical issues raised by the project.

E2.12. Know how to question oneself.

D2.4. Identify ethical issues related to the use of AI during all stages of the project.

E2.13. Demonstrate creativity ( AdmA, 2019, L7 ).

D2.5. Identify diversity participation targets at all stages of the project.

E2.14. Demonstrate abilities to develop professionally independently and consistently.

D3. Respect the laws.

E2.15. Demonstrate openness to diversity ( AdmA, 2019, L13 ).

D3.1. Understand the legislation surrounding the development of AI solutions

E2.16. Demonstrate integrity.

D3.2. Identify applicable personal data laws and regulations

E2.17. Demonstrate ethics.

D3.3. Identify key legal elements.

E2.18. Develop a strategic vision.

D4. Assess cybersecurity issues.

E2.19. Deal with ambiguity ( AdmA, 2019, A17 ).

D4.1. Establish an ongoing cybersecurity monitoring specific to the AI project.

E2.20. Demonstrate judgment and consistency ( AdmA, 2019, L9 ).

D4.2. Popularize cybersecurity issues to stakeholders.

D4.3. Understand the cybersecurity threats and risks surrounding the AI project.

D4.4. Be familiar with safety activities to mitigate cybersecurity risks.

D4.5. Verify security activities throughout the AI project.