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Solutions for efficient and trustworthy artificial intelligence

There is a high demand for AI solutions in industrial applications. These solutions need to be efficient, trustworthy and secure in order to be used in series production or quality control, for example. However, the new possibilities opened up by generative AI also raise questions. Can users rely on what a chatbot says? How can vulnerabilities in an AI model be detected early on during development? At the Hannover Messe 2024, the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS and the institutes of the Fraunhofer Big Data and Artificial Intelligence Alliance will be presenting two exhibits and several use cases centering on trustworthy AI solutions.

Trust is good, but AI control is better

What are the worst-case scenarios if certain materials are not available? What are suitable substitutes? Can we optimize the use of materials with as little waste as possible? And how do we achiev .

Designing Trustworthy and Transparent AI Systems Using Assessment Tools

The hype around ChatGPT has brought the topic of artificial intelligence and its impressive potential to the fore. At the same time, ensuring the quality and maintaining control of AI systems are becoming increasingly important – especially when these systems take on responsible tasks. After all, the chat-bot’s results are based on huge amounts of text data from the internet. That said, systems like ChatGPT only compute the most likely answer to a question and output it as a fact. Researchers from the Fraunhofer Institute for Intelli-gent Analysis and Information Systems IAIS will be showcasing various as-sessment tools and processes that can be used to systematically examine AI systems for weaknesses throughout their life cycle and safeguard against AI risks at the Hannover Messe 2023 from April 17 to 21 (at the joint Fraunhofer booth A12 in Hall 16). The tools support developers and technical inspection authorities in systematically evaluating the quality of AI systems to ensur

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