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}