How deep is the shit we´re in? Science and scientists in the age of A(G)I Machine Learning in Ecology

Online access* • LINK

Artificial Intelligence has transitioned from a niche tool to a fundamental driver of scientific discovery, yet its integration into the research workflow is fraught with paradox. This talk explores the tension between the revolutionary "use" of AI—accelerating breakthroughs in fields like ecology and conservation biology—and its "misuse," including the erosion of reproducibility and the rise of automated misinformation. As we stand on the precipice of Artificial General Intelligence (AGI), the stakes heighten. We must consider the radical implications for the scientific workforce: Will AGI lead to the obsolescence of the human researcher, or will it force a necessary evolution toward higher-order synthesis and ethical oversight? By analyzing the pros and cons of upcoming developments, I argue that while AI may automate the "doing" of science, the "thinking" of science will, for the time being, remain a human-centric endeavor to ensure validity, accountability, and meaningful progress. (disclamer: abstract written using AI).

* To access the meeting in the app without using the link, use the meeting ID  368 246 326 304 6 and access code Uj2DJ6ao