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Notes on risk management
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Robust Risk Under Evolving Uncertainty: A Wasserstein Counterpart of the Entropic Value-at-Risk
The paper proposes a new risk measure called Wasserstein Entropic Value-at-Risk (WEVaR) for an agent learning its environment. The WEVaR is designed to account for the reachable catastrophes that the current entropic…
Beyond Aggregate Risk: Role-Stratified Conformal Risk Control for LLM Tool Calls
Researchers propose a new method for controlling risk in language model agents' actions, which are performed through structured tool calls. The proposed method, called role-stratified per-field conformal risk control…
Regulating autonomous and agentic AI
This research paper explores the difficulties in regulating activities that use autonomous and agentic AI. The authors argue that existing regulatory assumptions no longer apply due to the distributed knowledge and…
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
The paper provides an overview of the methods used for assessing and managing risks associated with intelligent systems, in response to the need for safe and reliable AI systems as demanded by emerging regulatory…
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
This paper provides an overview of methods for assessing and managing risks associated with intelligent systems, as required by emerging regulatory frameworks. It reviews various types of AI-related risks, existing…
The Eticas AI Risk Taxonomy: Open Infrastructure for Operationalizing AI Audits
The Eticas AI Risk Taxonomy v2.0.0 is an open-source framework for operationalizing AI audits. It provides a standardized method for evaluating AI systems across various high-stakes domains, focusing on turning risks…
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