How AI could help target payment-defaulting customers: Those who address delinquent payers individually instead of sending the same letter to all of them have a much better chance of receiving their outstanding debts. Artificial intelligence helps tailor this approach to each debtor. A study by Pair Finance classifies debtors based on four dimensions: Ability to pay, willingness to pay, organization, and personality. To create such a typology, Fintech Pair Finance, which specializes in debt collection, analyzed data from more than 400,000 debt collection cases and the corresponding debtor communication. This has resulted in a customer typology study that can define a total of 16 different debtor types. Through the amount of data, an AI can then compose corresponding individual cover letters.
Augmentative AI improves public safety and smart cities: Augmentative AI reduces the burden on personnel but leaves decision-making to humans. In complex emergency situations, technology acts as an extra set of eyes to help public safety personnel see relevant insights to improve incident response. In addition, if there is a staff shortage at a particularly busy time, for example, chatbots could automatically dispatch teams to deal with less serious and complex issues.
How AI can help in nursing and care: Providing care for those in need of it is a challenge for society, especially due to the shortage of personnel. Artificial intelligence can contribute to the solution – for example, in the documentation of files and data, with which caregivers otherwise have to spend a lot of time. If AI could relieve them of that work, nurses would be left with more time for people. However, decisions still lie with humans and cannot be made by AI.
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AI as a driver of digitalization and sustainability: On July 8, Frankfurt University of Applied Sciences, together with AI Frankfurt Rhein-Main e.V. and Maleki Corporate Group, hosted the digital symposium FRANKFURT AI FORUM „AI as a driver of digitalization and sustainability“. The online event addressed questions such as: How can AI help achieve climate goals? Is the digitalization of medicine an opportunity in a crisis? The symposium was aimed at the interested public as well as companies that want to build up competencies in the field of AI.
How AI can be used responsibly: A research team is working on optimization options to ensure the responsible use of AI in production, which can also look at value concepts in the development process.
Linz researchers teach AI physical common sense: Researchers at the University of Linz have built the principle of conservation of mass into an AI, enabling the machine to observe physical laws and thus avoid errors and understand things – such as the fact that only as much water can flow out of a bottle as was previously poured in.
Production: This potential lies in artificial intelligence digital-manufacturing-magazin.de
Autonomous driving and AI: Workshop for schools nachrichten.idw-online.de
Companies: BSI and Fraunhofer IAIS prepare companies for AI testing nachrichten.idw-online.de
China: Insight into AI exhibition in Shanghai german.cri.cn
Emotions: Do computers have to be able to feel? nordbayern.de
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NUMBER OF THE WEEK
In 1950, Alan Turing wrote his famous paper „Computing Machinery and Intelligence“ about building intelligent machines and ways to test their intelligence.
Guidelines for a human-centered AI introduction: A new project at ifaa (Institut für angewandte Arbeitswissenschaft e.V.) started with the aim of developing conceptual guidelines so that humans and their workforce „do not fall by the wayside“ when introducing and using artificial intelligence. What is the impact of the introduction and use of AI in companies? How can companies make the transformation process „human-centric“ in order to take full advantage of productivity potential? Questions like these are being investigated on the introduction and application of AI and answered by ifaa as a research partner. The project has a runtime of three years.
Does the programming AI violate copyright? The programming AI „Copilot“ from OpenAI, Github and Microsoft could perhaps violate licensing rights. Github CEO Nat Friedman expects an „interesting policy discussion“ around generative AI and copyright in the coming years. OpenAI’s AI model Codex, which powers Github’s Copilot, has been trained with billions of publicly available code examples. Using this base of human examples, Codex can syntactically correct existing code or generate new code passages. But Codex committed clear copyright violations in some cases, including allowing the AI system to take personal details or entire code passages unchanged from the training material. Generative AI and copyright are still a legal vacuum for the time being.
PROJECT OF THE WEEK
AI-based software system to support cancer diagnostics: Dresden University Hospital and the Dresden-based start-up company Asgen are jointly testing an artificial intelligence-based software system for use in the diagnosis of breast and gastric cancer. In doing so, the use of an AI-based software system is intended to make an important contribution to relieving the burden on staff in pathology institutes.
„One of the most important aspects is that AI must be trustworthy. When it comes to AI, humans can no longer understand why and from which data certain results are generated.“
Prof. Hinz of Goethe University Frankfurt and Leibniz SAFE on the EU regulation which he believes offers the opportunity to make the EU a pioneer in trustworthy AI.
AI monitors lawmakers: Belgian artist Dries Depoorter published an AI project that automatically scans live streams from the Flemish parliament for politicians distracted by their cell phones and posts them on Twitter and Instagram to subject them to the social media pillory. The art project was presumably prompted by a scandal involving Flemish Prime Minister Jan Jambon, who was filmed playing „Angry Birds“ in parliament two years ago.