Augmented Intelligence

While the technologies surrounding artificial intelligence (AI) and robotics were often seen as an opportunity to completely replace tasks performed by humans, it has turned out that this is often not at all expedient. Humans and machines have different characteristics: while computers are good at evaluating large amounts of data within a short time, they lack the ability to reflect on decisions. We therefore speak of Augmented Intelligence, which complements humans and supports them in their daily work, and does not replace them. We address the questions of how humans and AI/robots can work together efficiently, and how their respective capabilities can complement each other. In addition, we address issues of fairness and inclusion. Methods are being developed to prevent parts of the digital society from being excluded or discriminated against based on automated decisions.

All articles on Augmented Intelligence

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Resource paradoxes of digital transformation (1) – the digital death of productivity

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Today's world is characterised by exuberant diversity - the number of human tasks is growing and the number of solution tools is increasing.…

More than a chatbot – how AI can be used responsibly in companies

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ChatGPT, Midjourney & Co. have shown how much potential software with machine learning has. However, in order to shape this change responsibly,…
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Networking and loss of consistency (3) – the missing technologies

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Is progress really accelerating? Is AI the technology of the future that will replace all others? Will we humans be relegated to the spectator…
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Why Consumers Feel Creeped Out by Smart Devices

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Smart home assistants are becoming increasingly popular. However, they are not only perceived by users as practical, but also as creepy. A study…
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Approach ChatGPT like an Online Community and You are Good to Go

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When reading across mainstream media and scientific magazines, it's hard not to buy into a collective frenzy that says that generative AI systems…
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How AI is revolutionising work at the Federal Supreme Court – a podcast episode

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Public authorities and the judiciary enjoy our special trust. The requirements for the use of artificial intelligence (AI) are therefore particularly…
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Networking and loss of consistency – Part 2: Distractions from the essentials

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Almost 10 years ago, the insider discourse on data protection changed fundamentally. The residual utilisation of the findings of that time is…
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Networking and loss of consistency – Part 1: In the chaos of exploding transparency

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The digital transformation regularly offers us various kinds of shocking experiences: firstly, bizarre mistakes in implementation, in which the…

The Debiaser – Novel Tools for Bias Detection and Mitigation in AI Systems

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Bias in AI is a major challenge of today’s artificial intelligence (AI) technologies. The proof-of-concept technology developed in the Horizon…

How virtual reality supports performance skills

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How effective is Virtual Reality Public Speaking Training (VRPST) compared to conventional preparation for oral presentations? Researchers from…

When ChatGPT helps with the exam – a podcast episode about AI in studies

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Will students have their theses written by AI in the future? How are universities dealing with this? And how does technology help lecturers with…

The Data-Centric Enterprise: Where Revolutions Converge

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Recent months have seen an explosion in articles about the generative-AI revolution and its effect on economy and society. But in fact there…