1 CPD Point
Summit 2026: Reputation Risk as a Quantitative Actuarial Practice Area
Reputation risk has been difficult to quantify because observable data are sparse, lagging, and noisy across multiple stakeholders. Impacts arrive through indirect pathways that are hard to attribute, such as attrition, funding costs, regulatory posture, and franchise value. Organisations have therefore relied on narrative, subjective, and reactive approaches anchored in communications rather than risk measurement, with little ability to define frequency and severity, test counterfactuals, or backtest decisions. The result has been limited actuarial input, weak governance, and few objective metrics that link stakeholder reactions to capital or performance outcomes.
Generative AI changes this landscape by converting unstructured sources into analysable datasets and by simulating plausible human responses to events and management actions. News, regulatory filings, customer complaints, social media, and earnings calls can be transformed into structured signals for prediction and monitoring. Within the actuarial control cycle, these capabilities enable clearer problem definition, data acquisition, model building, decision implementation, and feedback with auditable artefacts. Generative AI is therefore a paradigm-shifting tool that opens reputation risk to actuarial practice. Actuaries’ training in ethics, stakeholder trade-offs, and risk governance positions them to advise on model validity, bias mitigation, and the optimisation of communication and remediation strategies.
The paper and presentation provide practical case studies and simulations that actuaries can apply immediately in banking and other sectors. Examples illustrate how to parameterise event frequency and severity, model stakeholder reactions, and translate results into loss channels and management playbooks. All code, schemas, and tools used for event structuring, simulation, and stress testing will be released as open source to support replication, peer review, and adoption across the profession.
I will present in person. The session will combine presentation slides with active audience participation. Three pre-briefed attendees will join me on stage to role-play distinct stakeholders and be interviewed on how they would respond to a hypothetical scenario. Later, the audience will vote on the most effective mitigation strategy across several scenarios, and we will compare that crowd judgement with the model’s recommended strategies, highlighting where communication, governance, and optimisation meaningfully change predicted outcomes.
