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