������̳

Artificial intelligence is transforming industries, economies, and societies at an unprecedented pace, becoming a cornerstone of decision-making, innovation, and productivity across nearly every domain. As governments and businesses integrate AI into their operations, the demand for professionals who can address both its technical and societal dimensions has never been greater. This urgent need for interdisciplinary expertise positions AI-focused programs as critical to training the future talents.

������̳ is a European and international leader in artificial intelligence and data science. Thanks to its research teams, it offers innovative training opportunities that extend to the many disciplines revolutionized by AI, such as humanities, cognitive sciences, health or social sciences. Offered as part of the Paris School of AI, this new master’s degree in AI & society is uniquely designed to address this demand. Hosted by PSL University, the program benefits from the combined strengths of its schools: École Normale Supérieure-PSL, renowned for its excellence in fundamental sciences - particularly computer science and mathematics - and Dauphine-PSL, spearheading the field in organizational sciences, economics and applied mathematics. A unique scientific ecosystem, where computational and societal perspectives converge, with close links to the socio-economic sphere.

Learning outcomes

The Master's program aims to train AI specialists who have mastered the entire AI value chain and are capable of understanding and studying its behavioral and societal challenges, in particular to foster responsible approaches to the development and deployment of AI by institutions, organizations and individuals. The aim is also to train social scientists with a thorough command of AI, in particular to implement it in research in these fields, but also to contribute to the institutional and organizational framework for the design and deployment of AI-derived tools.

→ Acquisition of a rare dual expertise, both technical and critical, in the field of AI and its societal impacts (advanced skills in AI, data science and computational methods + in-depth knowledge of social sciences, ethics & governance).
→ 100% of teaching in English
→ Project-based teaching to enable students to confront case studies close to those they will have to deal with in the field (building up a varied portfolio of experience, skills & soft skills).

Skills acquired include a thorough command of machine learning algorithms, large language models (LLMs) and data science techniques, combined with an ability to analyze the social, ethical and political issues associated with digital technologies. Students will also develop skills in technology regulation, causal econometrics and human behavior, enabling them to understand and model the consequences of AI on society.

• Computer science and AI: mastery of artificial intelligence tools and methods (machine learning, natural language processing, massive data analysis).
• Economics and management: mastery of decision-making tools and methods, impact analysis and behavioral management in economic and social matters, understanding of value creation processes and business models, market strategies and competitive dynamics.
• Law and ethics and understanding of the mechanisms of economic and social governance and regulation, the institutional and administrative dimensions of governance, the intersecting dynamics of regulation and self-regulation, institutional and community mechanisms for framing individual behavior; ability to rigorously assess the social, ethical and economic implications of AI innovations, taking into account issues such as algorithm transparency, accountability and equity.
• Social sciences (behavioral sciences, cultural sciences, sociology and economics): understanding of social science theories and concepts, ability to use AI to gather data and test hypotheses, ability to draw up a research plan and write a research article. 
• Project management: ability to steer technological projects, taking into account societal issues and regulatory frameworks.
• Communication: ability to popularize complex technical concepts and take part in public debates on AI and societies.

Who should apply?

The “AI and Society” Master's degree is aimed at students from a wide range of academic backgrounds, including graduates in artificial intelligence, quantitative social sciences, as well as engineers wishing to broaden their skills in analyzing the social impacts of digital technologies. This master's program emphasizes interdisciplinarity, enabling students to develop an in-depth understanding of the challenges and opportunities presented by AI in our contemporary societie.
| Application from February 4 to March 24, 2025 | (See details in the Admissions tab).

Opportunities

Graduates will emerge as rare profiles, combining technical expertise in AI and data science with a deep understanding of social sciences, ethics, and policy. This positions them for roles such as Data Scientist, AI Engineer, Ethics and AI Governance Specialist, Policy Advisor, or Computational Social Scientist. Whether solving ethical dilemmas, designing equitable algorithms, or shaping public policy, alumni are prepared to lead in industries, government, and research, making them indispensable in today’s rapidly evolving global landscape.