The fourth event of the D<AI>DALOS discussion series on AI research and social responsibility.
We invite you to the online discussion The Role of AI in Achieving the Sustainable Development Goals with renowned researcher Ricardo Vinuesa from KTH Royal Institute of Technology in Stockholm. This is the fourth event of a discussion series called D<AI>DALOS co-organized by the AI Center FEE CTU and our friends at Machine Learning Meetups (MLMU). Through six lectures planned for 2021 and 2022, we wish to bring together scientists, students and experts from various fields to tackle the questions of AI research and social responsibility. Specifically, the cycle covers the following topics related to AI: creativity, journalism, fairness, sustainability, transhumanism and the opening lecture on the history of AI.
The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors requires an assessment of its effect on the achievement of the Sustainable Development Goals. Using a consensus-based expert elicitation process, we find that AI can enable the accomplishment of 134 targets across all the goals, but it may also inhibit 59 targets. However, current research foci overlook important aspects. The fast development of AI needs to be supported by the necessary regulatory insight and oversight for AI-based technologies to enable sustainable development. Failure to do so could result in gaps in transparency, safety, and ethical standards.
Ricardo Vinuesa is a fluid dynamicist and machine learning researcher from Valencia (Spain). He is an Associate Professor at KTH Royal Institute of Technology in Stockholm (Sweden), as well as a Researcher at KTH Climate Action Centre. He also serves as the vice director of the KTH Digitalization Platform. Vinuesa led an influential study on the impact of AI on the 17 Sustainable Development Goals (SDGs) of the United Nations (UN) which serves as the basis for his talk within the D<AI>DALOS framework. In 2021, he received the ERC Consolidator Grant for the DEEPCONTROL project that aims to combine high fidelity simulations of turbulent wings with deep learning for flow control to improve airplane efficiency. Find out more about his work on his research group's website Vinuesa Lab.
Recording of the lecture
Access the talk online on April 19, 2022 (4:00 PM CET) at the MLMU YouTube channel: https://www.youtube.com/watch?v=hR5HsAG5_AM. You can ask questions via the chat. The recording of the discussion will be available too at the same link.