Overview of the graduate school
The WASP-HS graduate school addresses challenges and consequences of autonomous systems and AI in society. The graduate school takes a cohort-based approach bringing together students from a wide variety of backgrounds in interdisciplinary teams to address real problems taking account of the individual, societal, and ethical implications.
The WASP-HS graduate school will contribute to the diversity and inclusion of AI related expertise and as such strengthen Sweden’s and Europe’s much needed ‘soft-skills’ on AI and autonomous systems.
The programme puts light on the interdependence of AI technologies and human activity, ranging from face-face interaction, through groups, corporate agents and communities up to society. Technology impacts human activity differently at each level but there are also common aspects that can be studied at each level. Questions include how an understanding of humans can be incorporated in the design of AI systems? What are the consequences of AI technologies at each level?
The graduate school complements existing PhD programmes by contributing to a wide interdisciplinary competence in humanities and social sciences and its relation to AI and autonomous systems. A goal is to train future researchers to the highest international standards by providing integrated training in philosophy, social science, policy research, organisational science, psychology, and other humanities and social science disciplines.
The graduate school builds the foundation for future groundbreaking research and will establish a modern cutting edge basis for
• studying the consequences of AI and autonomous systems
• how humanities and social sciences can inform research in AI and autonomous systems
• how AI techniques can be used to advance the humanities and social sciences
A goal is to provide new forms of understanding of the relation between individuals as cultural beings and AI and autonomous systems.
To this end the research school will:
• Build a community where the research students can learn from each other and support each other through their PhD studies as well as during their continued careers by means of alumni activities.
• Provide courses and other activities that will establish a common ground that will allow the exchange of ideas, problem formulations and solution between the students.
• Provide an overview of the relevant fields in the humanities and social sciences as well as understanding and some technical competence in AI and autonomous systems.
• Ensure that students develop practical research skills.