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

“The customer need is more important than the technology”

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Thanks to the Internet of Things, processes can be digitised and thus often made more efficient thanks to data exchange via sensors and applications.…

Programming? It’s also easier!

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The digital world also includes time-consuming programming. Although many things can now be "taught" or "parameterised", can 't it besimpler?…
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Artificial creativity (part 2) – the precarious aspects

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Artists are different than we like to imagine them. That's why many don't see AI as a threat, but as an opportunity. Why is that? Let's first…

Generative AI – what is it and what is it capable to do?

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In the media, there have been more and more special coverages on the topic of artificial intelligence in recent times, for example in the Tagesanzeiger…
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Artificial creativity (part 1) – a first approach

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Can AI do art? This question is becoming increasingly important. However, only the question mark is clear about this sentence. None of the three…

Hi ChatGPT, are you biased?

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ChatGPT is a recent language model that is being prominently discussed in the media. Since we know from our previous research that language models…

How to detect and reduce bias in AI systems

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Bias is a major cause of unfair and discriminatory decisions in the use of AI systems. For example, well-paid job offers were algorithmically…

Applied NLP Technologies for Physical and Mental Health

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The Applied Machine Intelligence research group from BFH-TI has organized a track with the topic of natural language processing for physical…

Robo-Advisor, Robot Lawyer, and Healthbot – Barriers and Solution Strategies for the Acceptance of AI Advisors

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AI-based consulting services are all the rage in the service sector. If we look at the evolution of AI-based applications, relatively simple…

How artificial intelligence detects burnouts via linguistic data

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Computers are fed words and phrases every day. Trained programs can recognise or even predict patterns in this data. Scientists from the Applied…

Between Cyber Sickness & Wow Effect: How Virtual Reality influences learning

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With virtual reality goggles, one can immerse oneself in any imaginable world. This is also used for learning. In an experimental study, researchers…

AI4SocialGood – towards a better world with augmented intelligence?

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What does AI4SocialGood mean and how can technology be used for societal and social benefit? Our author explores this question and presents some…