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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Deepfakes and manipulated reality – a study by TA-Swiss

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Artificial intelligence (AI) can generate and modify images, videos and sound recordings. It is already impossible to imagine the digital world…
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How the Brändi-GPT enables barrier-free access to information

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We usually use artificial intelligence and chatbots as a matter of course, for example to obtain information. However, access to information…

On the blind spots of AI – from discrimination to technological responsibility

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The relationship between AI and societal diversity is intricate. BFH-researcher Mascha Kurpicz-Briki probes this in her interview with AI luminary…
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How neuromonitoring can prevent post-operative brain damage

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Analysing signal data in intraoperative neuromonitoring using machine learning - Simon Koller won over the jury at the DMEA in Berlin with this…
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Federated Learning: The Future of AI Without Compromising Privacy

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Federated Learning (FL) has become a paradigm-shifting technology in AI, allowing data scientists to work with private data. In comparison to…
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Fairness and Bias in AI Applications for the Labor Market

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For the 2024 Applied Machine Learning Days (AMLD) conference held at EPFL, the BFH Applied Machine Intelligence group and NLP expert Dr. Elena…
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“We seek a relationship in every interaction – even with AI”

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AI is already present in many areas, even if this is not always obvious. Awareness of this is particularly important in sensitive contexts such…
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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…