Add conclusion section

This commit is contained in:
Tobias Eidelpes 2022-01-05 17:37:13 +01:00
parent 90c367292d
commit 6927996378

View File

@ -610,7 +610,17 @@ trust in the system's inner workings and results.
Trustworthy AI is becoming an increasingly researched field which has important
implications for the future development of artificial intelligence systems and
their function within our societies.
their function within our societies. The various technical methods for
increasing an AI system's trustworthiness are still actively researched and have
not yet proven themselves in large production contexts. Besides implementing
technical methods, AI trustworthiness can also be approached from an
organizational perspective. One model for achieving greater trust is through
introducing social compute units into business workflows. A combination of both
approaches might yield an even higher return on investment in the future.
Additional challenges are posed by the shift of AI systems away from the
\enquote{center of the cloud} to its edges. With AI's increasing capabilities it
is also likely that we will have to adapt current methods to achieve better
trust in tandem with their evolution.
\printbibliography