Wildlife Cameras, Drones, and Robots

The ACI took place from 5 to 8 December 2022 in Newcastle upon Tyne. It is the world’s leading conference on animal-computer interaction. The proceedings were published in the ACM Library on March 30, 2023. They include the paper „A Face Recognition System for Bears: Protection for Animals and Humans in the Alps“ by Oliver Bendel and Ali Yürekkirmaz. From the abstract: „Face recognition, in the sense of identifying people, is controversial from a legal, social, and ethical perspective. In particular, opposition has been expressed to its use in public spaces for mass surveillance purposes. Face recognition in animals, by contrast, seems to be uncontroversial from a social and ethical point of view and could even have potential for animal welfare and protection. This paper explores how face recognition for bears (understood here as brown bears) in the Alps could be implemented within a system that would help animals as well as humans. It sets out the advantages and disadvantages of wildlife cameras, ground robots, and camera drones that would be linked to artificial intelligence. Based on this, the authors make a proposal for deployment. They favour a three-stage plan that first deploys fixed cameras and then incorporates camera drones and ground robots. These are all connected to a control centre that assesses images and developments and intervenes as needed. The paper then discusses social and ethical, technical and scientific, and economic and structural perspectives. In conclusion, it considers what could happen in the future in this context.“ The proceedings can be accessed via dl.acm.org/doi/proceedings/10.1145/3565995.

Fig.: A brown bear

ANIFACE

Face recognition for humans is very controversial, especially when it comes to surveillance or physiognomy. However, there are also other possible applications, for example in relation to animals. At the moment, individuals are mainly tracked with the help of chips and transmitters. However, these are disturbing for some of the animals. Further, the question is whether one should interfere with living beings in this way. In addition, animals are constantly being born that escape monitoring. The project „ANIFACE: Animal Face Recognition“ will develop a concept of a facial recognition system that can identify individuals of bears and wolves. These are advancing more and more in Switzerland and need to be monitored to protect them and affected people (and their agriculture). Facial recognition can be used to identify the individual animals and also to track them if there are enough stations, which of course must be connected with each other. An interesting sidebar would be emotion recognition for animals. The system (which could include camera installations and robots) could find out how bears and wolves are feeling and then trigger certain actions. The project was applied for in July 2021 by Prof. Dr. Oliver Bendel, who has already designed and implemented several animal-friendly machines with his teams. In August, it will be decided whether he can start the work.

Fig.: An attentive lion

The BESTBOT Project

The book chapter „The BESTBOT Project“ by Oliver Bendel, David Studer and Bradley Richards was published on 31 December 2019. It is part of the 2nd edition of the „Handbuch Maschinenethik“, edited by Oliver Bendel. From the abstract: „The young discipline of machine ethics both studies and creates moral (or immoral) machines. The BESTBOT is a chatbot that recognizes problems and conditions of the user with the help of text analysis and facial recognition and reacts morally to them. It can be seen as a moral machine with some immoral implications. The BESTBOT has two direct predecessor projects, the GOODBOT and the LIEBOT. Both had room for improvement and advancement; thus, the BESTBOT project used their findings as a basis for its development and realization. Text analysis and facial recognition in combination with emotion recognition have proven to be powerful tools for problem identification and are part of the new prototype. The BESTBOT enriches machine ethics as a discipline and can solve problems in practice. At the same time, with new solutions of this kind come new problems, especially with regard to privacy and informational autonomy, which information ethics must deal with.“ (Abstract) The BESTBOT is an immoral machine in a moral one – or a moral machine in an immoral one, depending on the perspective. The book chapter can be downloaded from link.springer.com/referenceworkentry/10.1007/978-3-658-17484-2_32-1.

Fig.: The BESTBOT project