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Daniel Nylen is an Associate Professor at Umeå University, focusing on research in artificial intelligence and its applications in various fields. His work includes significant contributions to the AI Society and the Swedish Center for Digital Innovation. With a strong background as a recognized university teacher, he has been involved in multiple research projects aimed at exploring the intersection of AI and forestry, particularly looking at the risks and opportunities of AI-based automation in the sector. Daniel's recent projects include the 'AI-based Automation Forestry' project and the 'Digital Twins Enablers Participatory Forest Planning' initiative, aimed at innovating decision-making systems in the environmental context. His ongoing work also involves significant research into the role of human agency and law within semi-automated decision-making systems, reflecting his commitment to ensuring safe and effective working environments in an AI-driven future.
Umeå University • Umeå, Sweden
Conducting research and teaching courses in AI and its applications.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.