From Opacity to Clarity: Leveraging Explainable AI for Transparent Business Valuation
- AI as response to current business valuation challenges
- Concerns arise from the lack of transparency in AI models – Black Box Problem
- Can Explainable AI (XAI) be a solution to the black box problem?
- Utilizing XAI to unravel the complexities of valuation models, offering transparent explanations of key factors impacting business worth
- Application of XAI in tackling challenges such as risk assessment, compliance with regulatory standards, ensuring model interpretability, detecting biases, and conducting scenario analysis
- Discussion on how XAI influences valuation professionals highlighting the transformative impact on decision-making processes
Co-Speaker: StB Prof. PD MMag. Dr. Stefan O. Grbenic, CVA
This session will be held in English language.
Session G-3: Friday, 6 December 2024 I 14:30 – 15:30
Prof. ddr. Timotej Jagrič, CQRM
University of Maribor I Head of Institute for Finance and Artificial Intelligence
Received his first PhD from University of Maribor and his second PhD from University of Primorska. He is certified in quantitative risk management (CQRM), and is full professor of applied economics and econometrics and full professor of finance.
He works at University of Maribor. In the period between 2005 and 2006 he worked as vice-dean for Scientific Research and Postgraduate studies at the Faculty of Business and Economics. He is currently head of the Institute for Finance and Artificial Intelligence. He gives classes at the Faculty of Economics and Business, Faculty for natural sciences and mathematics and other universities in and outside Slovenia.
He was visiting researcher at Humboldt University of Berlin in the Collaborative Research Center (SFB) 649 “Economic Risk” and is currently visiting professor at Technical University of Graz (Austria).
He has worked as chairmen of the supervisory board of the largest re-insurance company in Slovenia, as member of the Strategic council of the government of the Republic of Slovenia, and as advisor for many government and other public institutions in CEE region. He was elected for the vice governor of Slovenian central bank. He is actively working as consultant in the field of risk management and artificial intelligence, is member of the steering committee of the Slovenian risk association - SI.RISK, and acts as an expert for WHO. He was a member in the research Programme CORE@UM under the topic "Innovation for Healthy Living and Active Ageing" in its part RRP3 – Applied Studies of Complex Systems. This research program was co-founded by the EU (2013-2015).
He is currently active member of Digital Innovation Hub University of Maribor, where he acts as expert in the fields of artificial intelligence and finance. He worked on “Stress testing Scenario Modelling for Banks and Insurance companies operating in CEE Financial Markets”, founded by Slovenian Research Agency ARRS and Austrian Agency for International Cooperation in Education and Research between 2011 and 2012. He acts as a referee for research projects of Bank of Slovenia, Institute of Macroeconomic Analysis and Development of the Republic of Slovenia and Slovenian Research Agency.
He is also member of extended committee for financial stability for the area of fintech and cybersecurity. He has published papers in major scientific journal, books and actively participated at scientific conferences around the world.