From cb144032e2349baf3777a21f25679d6b67b4c911 Mon Sep 17 00:00:00 2001 From: Tobias Eidelpes Date: Fri, 17 Dec 2021 20:43:01 +0100 Subject: [PATCH] Add Accountability and Auditability section --- trustworthy-ai.tex | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/trustworthy-ai.tex b/trustworthy-ai.tex index 421adeb..78da019 100644 --- a/trustworthy-ai.tex +++ b/trustworthy-ai.tex @@ -430,6 +430,21 @@ noticeable impact on the information contained in the dataset. \subsection{Accountability and Auditability} +Accountability of artificial intelligence systems refers to how much the system +can be trusted and who should be held accountable in case of errors. Due to the +black-box nature of some machine learning algorithms, accountability is +difficult to establish. With a lack of explainability knowing which part of the +system is responsible for which output is an impossible task. Auditability +partially relies on accountability to function properly. Without accountability +auditing an artificial intelligence system does not offer much insight as the +question of responsibility is not answered. Especially with regards to +widespread adoption of AI and the necessity for regulation of such systems, +auditability provides a basis from which decisions pertaining the use of AI are +made possible. If AI leaves an \emph{audit trail} behind every time it makes a +prediction, trust in the system is easier to establish since actions can be +traced and uncertainties in case the system does not behave as expected are +removed by proper regulations. + \subsection{Environmental Well-Being}