Will AI automate research? 🤖 This was one of the key questions to explore at our event, "From Hype to Action: Applying Generative AI in Danish Research Practices," co-hosted by Danmarks Forsknings- og Innovationspolitiske Råd (DFIR). From biology to literature, AI is already transforming multiple research fields. Timothy Jenkins showed examples of how he and his team at DTU Bioengineering create proteins using the models behind AI image recognition (RFDiffusion). Mads Rosendahl Thomsen from the Faculty of Arts - Aarhus Universitet presented how AI in the humanities is used as both a tool and an object, and Mads Rydahl showed how genAI has evolved and how proem is developing AI tools to support research. It was clear that genAI has made its way into universities. But we must tread carefully: 🎤 "It’s not just about rolling out these models to as many researchers as possible. It’s crucial that researchers develop a qualitative understanding of which AI tools can support which tasks - and with what limitations," said Kaj Grønbæk, Head of the Department of Computer Science, Aarhus University. The real challenge is ensuring that AI enhances research quality rather than replaces critical thinking and expertise. 🎤 "AI holds great potential for researchers, but it also comes with significant risks, such as data security and energy efficiency. That’s why we need researchers who deeply understand their field and can make informed decisions. This event was a great inspiration, highlighting the importance of supporting researchers in using AI wisely," said Frede Blaabjerg, Chair of DFiR. A big thank you to all participants for your valuable insights and discussions! Let’s continue the conversation on how AI can support—not replace—great research 🙏
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