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In diesem Whitepaper fokussieren wir uns auf die KI-Verordnung nicht erfasste freiwillige Zertifizierung. Dabei stehen die Interessen und Sichtweisen der Verbraucher*innen im Vordergrund. Als Verbraucher*innen betrachten wir nicht nur die unmittelbaren Nutzer*innen von KI-Systemen, sondern auch Privatpersonen, die indirekt von KI-Ergebnissen betroffen sein können. Zudem berücksichtigen wir Menschen in der Rolle als souveräne Datensubjekte, deren personenbezogene Daten in die Entwicklung von KI-Systemen einfließen. Dieses breite Verständnis des Verbraucher*innenbegriffs entspricht dem Selbstverständnis des Zentrums für vertrauenswürdige Künstliche Intelligenz (ZVKI). Wir stellen Thesen auf, wie freiwillige Zertifizierungen von KI-Systemen für Verbraucher*innen nützlich sein können. Die im Verlauf vorgestellten und begründeten acht Thesen wurden in einer Reihe von interdisziplinären Workshops erarbeitet. Dabei identifizierten wir Herausforderungen einer KI-Zertifizierung aus Verbraucher*innensicht und präzisierten diese iterativ. Die Gruppendiskussionen dienten als Grundlage dieses Whitepapers und bauten auf Erkenntnissen der Fach-Arbeitsgruppe „KI Zertifizierung“ des ZVKI auf. Alle Co-Autor*innen waren an der Erstellung des finalen Texts beteiligt. Die aufgestellten Thesen thematisieren grundlegende Anforderungen an eine KI-Zertifizierung aus einer übergeordneten Perspektive, unabhängig von den spezifischen Details einer KI-Anwendung. Somit liefern sie keine Aussagen zu konkreten Inhalten der Zertifizierung. Detaillierte Empfehlungen setzen eine umfassende Analyse von Einsatzfällen voraus, die in diesem Rahmen nicht geleistet werden kann.
This paper presents a study on the feasibility of using large language models (LLM) for coding with low-resource and domain-specific programming languages that typically lack the amount of data required for effective LLM processing techniques. This study focuses on the econometric scripting language named hansl of the open-source software gretl and employs a proprietary LLM based on GPT-3.5. Our findings suggest that LLMs can be a useful tool for writing, understanding, improving, and documenting gretl code, which includes generating descriptive docstrings for functions and providing precise explanations for abstract and poorly documented econometric code. While the LLM showcased promoting docstring-to-code translation capability, we also identify some limitations, such as its inability to improve certain sections of code and to write accurate unit tests. This study is a step towards leveraging the power of LLMs to facilitate software development in low-resource programming languages and ultimately to lower barriers to entry for their adoption.
The paper presents an observation and evaluation of the recovery process. Seven weeks after the fracture of the fibula and six weeks after surgery the measurement of the gait of the subject has been started. Inertial measurement units applied above both ankles are used to acquire kinematical data and three surface EMG at each leg to get information about the activity of three muscles. The intensity of the weekly tests has been increased in dependence on the healing progress. Both scenarios-walking on the floor and on the treadmill-were included in the experiments to obtain comparable data sets. Beside of the investigation of the healing process the paper is focused on symmetry/asymmetry properties of the gait. The results indicate that asymmetry is not only an essential property of pathologic gait but it is present in normal gait too, especially if short distances are evaluated. They may be caused by the influence of a dominant/injured leg, of the first/last steps, the natural variance of the gait or the daily fitness of the subject. Asymmetry is obviously in the contribution of both legs to a stride (step length, strike and lift angle, stand and swing phase).
A unified understanding of terms and their applicability is essential for every scientific discipline: steganography is no exception. Being divided into several domains (for instance, text steganography, digital media steganography, and network steganography), it is crucial to provide a unified terminology as well as a taxonomy that is not limited to some specific applications or areas. A prime attempt towards a unified understanding of terms was conducted in 2015 with the introduction of a pattern-based taxonomy for network steganography. Six years later, in 2021, the first work towards a pattern-based taxonomy for steganography was proposed. However, this initial attempt still faced several shortcomings, e.g., the lack of patterns for several steganography domains (the work mainly focused on network steganography and covert channels), various terminology issues, and the need of providing a tutorial on how the taxonomy can be used during engineering and scientific tasks, including the paper-writing process.</p>
<p>As the consortium who published this initial 2021-study on steganography patterns, in this paper we present the first comprehensive pattern-based taxonomy tailored to fit all known domains of steganography, including smaller and emerging areas, such as filesystem steganography and cyber-physical systems steganography. Besides, to make our contribution more effective and promote the use of the taxonomy to advance research on steganography, we also provide a thorough tutorial on its utilization. </p>
<p>Our pattern collection is available at <a href="https://patterns.ztt.hs-worms.de/" target="_blank">https://patterns.ztt.hs-worms.de</a>.</p>