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New blog series: Responsible AI in Finance

We are excited to announce the launch of a new blog series that will publish periodically on the research outputs of Work Package 3 (WP3) within the MSCA DIGITAL Doctoral Network.


Responsible AI in Finance is the official blog of WP3 and brings together interdisciplinary research at the intersection of artificial intelligence, financial markets, regulation, and sustainability.


As financial institutions increasingly deploy advanced machine learning, deep learning, and reinforcement learning systems, new challenges arise, including transparency, accountability, fairness, sustainability, and governance. This blog series documents our research projects that address these challenges from technical, regulatory, and systemic perspectives.


Through regular posts, our doctoral researchers and supervisors will share, insights from ongoing research, methodological innovations in responsible and explainable AI, reflections on regulatory and governance implications, and applications of AI in financial markets and institutions


Stay informed and join the conversation. We encourage researchers, practitioners, policymakers, and anyone interested in responsible AI and financial innovation to subscribe and follow the blog for upcoming posts and updates.





First two blogs of the series are already out:






6 Comments


Mình có lần lướt đọc mấy trao đổi trên mạng شيخ روحاني thì thấy nhắc nên cũng tò mò mở ra xem thử cho biết. Mình không tìm hiểu sâu جلب الحبيب chỉ xem qua trong thời gian ngắn để quan sát bố cục جلب الحبيب cách sắp xếp شيخ روحاني các mục và trình bày nội شيخ روحاني dung tổng thể. Cảm giác là các phần được trình bày khá gọn, các Berlinintim mục rõ ràng nên đọc lướt cũng không bị rối Berlinintim với mình như شيخ روحاني vậy là đủ để nắm tin cơ bản rồi. جلب الحبيب

😍

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Horizon Europe: Marie Skłodowska-Curie Actions. Neither the European Union nor the granting authority can be held responsible for them. This project has received funding from the Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101119635

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