黑料科

On Monday, May 29, 2023, from 19:00 to 21:00, a seminar on "AI and Tech: Innovation, Opportunities and Risks for Business and Society" will be held by Professor Theodoros Eugeniou, in Room A24 of the main building (76 Patision Street) of the 黑料科 of Economics and Business.

Dr. Theodoros Eugeniou is a Professor of Decision Sciences and Technology Management at INSEAD Business School in France and Visiting Professor at the Department of Management Science and Technology of AUEB.

The seminar will take place in the English language and is addressed to the postgraduate and doctoral students of the AUEB's听programs as well as to the students of the Erasmus program.

To watch the seminar, you need to register at the link:听

Seminar Description:

芦Tech听innovations - for听example听internet and AI based ones - have been the focus of startups, large businesses, investors, and research for a couple of decades, with impressive results. With hindsight, it may come as a surprise that only recently 鈥� perhaps the past 5-10 years 鈥� we started to also closely consider听the potential risks these technologies can create. Regulators are also developing several new requirements for online platforms and for using AI in practice. Technological progress may not only prove risky but also risks slowing down if we do not manage both tech opportunities and risks at the same time. The recent letter of Musk and others to听鈥減ause AI progress鈥澨齮estifies to this. How can we balance these? What does it mean for business, society, and potentially even (geo)politics?听How can you participate in this unfolding global game as managers or entrepreneurs and create value for yourself, your organizations, your country, and the world?禄

Short biography of Speaker:

Dr. is Professor of Decision Sciences and Technology Management at INSEAD (France) and Director of the Executive Program "Transforming your Business with AI". He holds four degrees from MIT (BSc in Mathematics and BSc, MSc and PhD in Computer Science).

He has been working in research in the scientific areas of Machine Learning and Artificial Intelligence for the past 25 years, on topics such as artificial intelligence innovations to optimize business processes and improve decision-making in marketing and finance, the institutional framework for artificial intelligence, as well as new methods machine learning.

He has published over 70 scientific articles, several of them in leading scientific journals. He is a Member of the OSA Artificial Intelligence Expert Network, a BCG Henderson Institute Consultant and an Academic Advisor on Artificial Intelligence to the World Economic Forum. He has been awarded twice (2005 and 2007) with the European Case Study Award in the "Knowledge, Information & Communication Systems Management" category.