Month: June 2024

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When Alpha Mini Meets Navel

Learntec is the leading e-learning trade fair and conference in Europe. For decades, it has been the meeting place for education managers, HR staff, heads of e-learning institutions, university lecturers, teachers, and all interested parties. It is shaped by experts such as Sünne Eichler and Prof. Dr. Peter A. Henning. In the Future Lab “Social Robots and GPTs” on June 6, 2024 at LEARNTEC, you can interact and communicate with Navel and Alpha Mini. For example, you can make them move their bodies, admire their gestures and facial expressions or have a conversation with them. Both models are state-of-the-art social robots that can be used in a learning context. The three sessions will be introduced by Prof. Dr. Oliver Bendel from the FHNW School of Business with his keynote speech “Social robots and GPTs in the learning sector”. The contact persons for the two robots are Claude Toussaint from navel robotics in Munich and Rainer E. Becker from BECKER ROBOTICS in Wuppertal. You will also have the opportunity to communicate with a GPT called Social Robotics Girl, which Prof. Dr. Oliver Bendel uses in his teaching.

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An LLM Decides the Trolley Problem

A small study by Şahan Hatemo at the FHNW School of Engineering in the Data Science program investigated the ability of Llama-2-13B-chat, an open source language model, to make a moral decision. The focus was on the bias of eight personas and their stereotypes. The classic trolley problem was used, which can be described as follows: An out-of-control streetcar races towards five people. It can be diverted to another track, on which there is another person, by setting a switch. The moral question is whether the death of this person can be accepted in order to save the lives of the five people. The eight personas differ in terms of nationality. In addition to “Italian”, “French”, “Turkish” etc., “Arabian” (with reference to ethnicity) was also included. 30 responses per cycle were collected for each persona over three consecutive days. The responses were categorized as “Setting the switch”, “Not setting the switch”, “Unsure about setting the switch”, and “Violated the guidelines”. They were visualized and compared with the help of dashboards. The study finds that the language model reflects an inherent bias in its training data that influences decision-making processes. The Western personas are more inclined to pull the lever, while the Eastern ones are more reluctant to do so. The German and Arab personas show a higher number of policy violations, indicating a higher presence of controversial or sensitive topics in the training data related to these groups. The Arab persona is also associated with religion, which in turn influences their decisions. The Japanese persona repeatedly uses the Japanese value of giri (a sense of duty) as a basis. The decisions of the Turkish and Chinese personas are similar, as they mainly address “cultural values and beliefs”. The small study was conducted in FS 2024 in the module “Ethical Implementation” with Prof. Dr. Oliver Bendel. The initial complexity was also reduced. In a larger study, further LLMs and factors such as gender and age are to be taken into account.

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The Horse Whisperer and Other Apps

On May 28, 2024, the interim presentation for the project “The Animal Whisperer” took place at the FHNW School of Business. It was initiated by Prof. Dr. Oliver Bendel, who has been working on animal-computer interaction and animal-machine interaction for many years. Nick Zbinden, a future business information systems specialist, was recruited to work on the project. He developed three applications based on GPT-4o, the Cow Whisperer, the Horse Whisperer, and the Dog Whisperer. They can be used to analyze the body language and environment of cows, horses, and dogs. The aim is to avert danger to humans and animals. For example, a hiker can receive a recommendation on their smartphone not to cross a pasture if a mother cow and her calves are present. All they have to do is open the application and take photos of the area. The tests are already very promising. Nick Zbinden is currently talking to three human whisperers, i.e. experts in this field who are particularly good at assessing the body language and behavior of animals and are particularly good at dealing with them. Photos – showing different positions of the ears or heads, for example – are also being described by them and then fed by him into the applications. The final results will be available in August 2024.