exploring the social
in
social risk

Resources

Here are some excerpts of our work. They illustrate the diverse range of perspectives needed for successful mitigation of social risk. We always appreciate feedback. To learn more about our work or to get involved email us.


Risk in context Context plays a fundamental role in our perception of reality. In language, context provides the basis for what words mean and how we learn to socialize. Context also introduces the unavoidable risk of deception.
Engineering the subjective One definition of contemporary engineering is: the application of the physical and social sciences to the needs of humanity and the development of technology. To engineer the subjective is to attempt to design social reality.
Gresham's Law 2.1 Gresham's law is a monitary principle that bad money drives out good money. Word prediction cum generative text with AI algorithms may create the linguistic equivalent to the principle, bad context drives out good content.
Predictive processing as meaning making Predictive processing represents a consilience of many concepts in neuroscience, philosophy and AI. As a generative model it learns the causes of training data, how to generate effect from the cause. That the cause, in semiotic terms is learned meaning, implies the associated algorithms are accessing otherwise hidden belief systems.
Primacy of context Context is commonly mentioned, albeit parenthetically, in semiotics and social construction. Context however, is anything but parenthetical. Symbol and Referent are learned in context, before learning their relationship in another context, different and vulnerable to manipulation.
The other social risk Environment-Social-Governance ESG is all about sustainability- who cares wins in commerce and culture. Social risk in ESG focuses on practices that may have untoward effects on people and the environment. Many ESG-social risks are managed as if they were objective. But there is another kind of social risk, the subjective risk of groups forming and doing real things, such as ruining brand reputation, only because of commonly held individual beliefs.
Why counterfactual risk analysis works A counterfactual, some fact that differs from consensus, may yet materialize into a real event by the action of a believer. By focusing on the underlying belief system, a single counterfactual can expose a manifold process of risks that may yet materialize in future contexts.

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We appreciate feedback. To learn more about our approach or and how it may be of use, email us.