contextual factors - effect on the type of explanation and bias

Below is extract from a 136 page document focused on Explaining  processes,
services and decisions delivered or assisted by AI.

Unsurprisingly it has a strong emphasis on contextual factors.. which
others have used to 'explain' bias.. e.g. A measurement *bias* due to the
influence of the study's *context* on the interpretation of the study's
results

a sample extract is ..
  What are the contextual factors? At a glance Five contextual factors have
an effect on the purpose an individual wishes to use an explanation for,
and on how you should deliver your explanation: domain you work in; impact
on the individual; data used; urgency of the decision; and audience it is
being presented to. In more detail Introduction Domain factor Impact factor
Data factor Urgency factor Audience factor Introduction When constructing
an explanation for an individual, there are several factors about the
context an AI-assisted decision is made in. These have an effect on the
type of explanation which people will find useful and the purposes they
wish to use it for  ..

This co-badged guidance by the ICO and The Alan Turing Institute aims to
give organisations practical advice to help explain the processes, services
and decisions delivered or assisted by AI, to the individuals affected by
them.

this is the website
https://ico.org.uk/for-organisations/guide-to-data-protection/key-data-protection-themes/explaining-decisions-made-with-artificial-intelligence/


this is the whole document
https://ico.org.uk/media/for-organisations/guide-to-data-protection/key-data-protection-themes/explaining-decisions-made-with-artificial-intelligence-1-0.pdf


enjoy

carl

It was a pleasure to clarify