| The originality of this specialization is to emphasize not only the technical advances of modern AI, but also their practical limitations, the social, environmental, and economical issues they can cause, and how to mitigate them. The goal of the TRAI program is to enable students to create AI applications that are effective, trustworthy, and responsible. To do so, students will work on theoretical fundamentals and acquire practical experience in harnessing AI to create solutions that emphasize: |
- Robustness and safety
- Privacy
- Transparency
- Diversity and fairness
- Environmental and societal well-being
- Accountability
● Ideally, candidates should hold a double bachelor’s degree in mathematics and computer science.
● Alternatively, a Bachelor’s degree in either field is acceptable, provided the applicant has a solid background in the other field. Mathematical background should include Statistics, Linear Algebra, & Analysis courses. Computer science background should consist of at least one Algorithmics, Data structures, and Programming course.
● Applicants with other degrees may also be considered, if they have a solid skill set in the abovementioned subjects.
● To enter directly in the M2, applicants should hold a master’s degree or a master 1 level (bachelor with 240 ECTS or more) in Applied math, including machine learning, algorithmic and visual computing courses, or in Computer science, including a strong background in visual computing, math, and machine learning.
The TRAI specialization equips graduates with specialized skills that are increasingly valuable in industries where AI's robustness, safety, and fairness are crucial. Graduates can take on a variety of roles in organizations that require reliable and ethical AI, including those in healthcare, security, ecological transition, energy, transport, and finance.
In these sectors, employers increasingly require professionals who can develop and audit AI systems to ensure they are fair, safe, sustainable, and compliant with regulations. Graduates are also able to pursue a doctorate in a research laboratories or in collaboration with a company (CIFRE Thesis).
