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TRR 318 „Constructing Explainability“ | LinkedIn

TRR 318 „Constructing Explainability“ | 223 Follower:innen auf LinkedIn. Researching Explainability in AI Systems at the Universities of Paderborn and Bielefeld. | Algorithm-based approaches, such as machine learning, are becoming increasingly complex. This lack of transparency only makes it more difficult for human users to understand and accept the decisions proposed by artificial intelligence (AI). In the Transregional Collaborative Research Center 318 “Constructing Explainability”, researchers are developing ways to involve users in the explanation process and thus create co-constructive explanations.



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TRR 318 „Constructing Explainability“ | LinkedIn

https://de.linkedin.com/company/trr-318-constructing-explainability

TRR 318 „Constructing Explainability“ | 223 Follower:innen auf LinkedIn. Researching Explainability in AI Systems at the Universities of Paderborn and Bielefeld. | Algorithm-based approaches, such as machine learning, are becoming increasingly complex. This lack of transparency only makes it more difficult for human users to understand and accept the decisions proposed by artificial intelligence (AI). In the Transregional Collaborative Research Center 318 “Constructing Explainability”, researchers are developing ways to involve users in the explanation process and thus create co-constructive explanations.



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https://de.linkedin.com/company/trr-318-constructing-explainability

TRR 318 „Constructing Explainability“ | LinkedIn

TRR 318 „Constructing Explainability“ | 223 Follower:innen auf LinkedIn. Researching Explainability in AI Systems at the Universities of Paderborn and Bielefeld. | Algorithm-based approaches, such as machine learning, are becoming increasingly complex. This lack of transparency only makes it more difficult for human users to understand and accept the decisions proposed by artificial intelligence (AI). In the Transregional Collaborative Research Center 318 “Constructing Explainability”, researchers are developing ways to involve users in the explanation process and thus create co-constructive explanations.

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      TRR 318 „Constructing Explainability“ | 223 Follower:innen auf LinkedIn. Researching Explainability in AI Systems at the Universities of Paderborn and Bielefeld. | Algorithm-based approaches, such as machine learning, are becoming increasingly complex. This lack of transparency only makes it more difficult for human users to understand and accept the decisions proposed by artificial intelligence (AI). In the Transregional Collaborative Research Center 318 “Constructing Explainability”, researchers are developing ways to involve users in the explanation process and thus create co-constructive explanations.
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      TRR 318 „Constructing Explainability“ | LinkedIn
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      TRR 318 „Constructing Explainability“ | 223 Follower:innen auf LinkedIn. Researching Explainability in AI Systems at the Universities of Paderborn and Bielefeld. | Algorithm-based approaches, such as machine learning, are becoming increasingly complex. This lack of transparency only makes it more difficult for human users to understand and accept the decisions proposed by artificial intelligence (AI). In the Transregional Collaborative Research Center 318 “Constructing Explainability”, researchers are developing ways to involve users in the explanation process and thus create co-constructive explanations.
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