AI (Artificial Intelligence) is a new transformative technology that has shown its potential during the recent years. As evidenced, the fast development of AI methods and data centricity in finance is providing opportunities, but it is also posing new challenges to our economies. In particular, we have seen an uplift in several areas of AI, but especially in language technology and LLMs (Large Language Models). These technologies could change our societies profoundly, and therefore well-planned and targeted policies are key to develop a safe and sustainable society with the AI.
This year’s Systemic Risk Analytics conference has a strong focus on AI and systemic risk. The aim of the conference is to adopt methods and techniques from other disciplines, such as computer science, engineering, biology and physics, that use computer-intensive approaches, novel data sources, and of course AI. Examples of possible topics include how LLMs can be used to detect systemic risk, and whether AI and quantum computing can pose new sources of systemic risks, e.g. operational risks and cyber risks.
Beyond of this, the conference welcomes also submissions on more traditional tools of systemic risk analytics and macroprudential policy, such as early-warning indicators, network and contagion analysis, macro stress-testing, tools for big data analytics.
The conference includes several keynotes, presentations and poster sessions. Extended abstracts are welcome as well. Topics for panel discussions are especially welcome this year.
The themes of the conference cover policy and practitioner-oriented research related to systemic risk measurement. We solicit contributions covering a broad range of techniques related to systemic risk analytics, particularly related to (but not limited to) the following themes (new and themes with a special focus are in bold):
- Use of Large Language Models (LLM) and trustworthy AI
- Cyber security and operational risks as sources of systemic risk
- AI and Quantum Computing as potential source of new systemic risks
- Use of AI with big data for systemic risk analytics
- Risks and opportunities stemming from disruptive innovations in financial technology (FinTech)
- Using systemic risk analytics to support macro-prudential policy and regulation
- Analysing emerging risks from interconnectedness of the financial system
- Identifying risks from market-based finance
- Evidence of macroprudential policy measures
- Economic policies in the turbulent and uncertain times
Papers to be considered for presentation at the conference and workshop should be submitted via online form by 17 March 2024: https://www.lyyti.in/SRA2024cfp.
Accepted paper presenters will be notified in due course, as well as the format of the presentations; there will be both oral and poster presentations in the conference.
Format, timing and venue
The conference will be held in a hybrid format, allowing virtual participation. The conference will take place on 6-7 June 2024 at Bank of Finland in Helsinki. The conference includes keynotes, presentations and poster sessions. The conference is accompanied with a social event for speakers on 6 June, taking place at the Bank of Finland Villa.
Conference participation requires pre-registration and is free of charge. However, participants are expected to pay their expenses for travel and accommodation. Registration to the event will open later in the spring. More information will can be requested at firstname.lastname@example.org.
Katja Taipalus (Bank of Finland)
Peter Sarlin (Silo.AI)
Kaj-Mikael Björk (Centre for Intelligent Computing, cic.utu.fi, and RiskLab at Arcada)
Tuomas Peltonen (European Systemic Risk Board)
Will be published closer to the event.