Marc Hauer

• Master of Science
• Senior Solution Architect at TÜV AI.Lab

Digitalization holds chances for companies and consumers, but also threats and risks that emerge or intensify in the digital setting. The concept of Corporate Digital Responsibility (CDR) supports companies in a comprehensive approach to responsibility engagement in the digital world, thus enabling them to address emerging or intensifying challenge...

For years, the number of opaque algorithmic decision-making systems (ADM systems) with a large impact on society has been increasing: e.g., systems that compute decisions about future recidivism of criminals, credit worthiness, or the many small decision computing systems within social networks that create rankings, provide recommendations, or filt...

The growing adoption and deployment of Machine Learning (ML) systems came with its share of ethical incidents and societal concerns. It also unveiled the necessity to properly audit these systems in light of ethical principles. For such a novel type of algorithmic auditing to become standard practice, two main prerequisites need to be available: A...

Wie sieht ethische Verantwortung im Zeitalter der Digitalisierung, Datafizierung und Künstlichen Intelligenz aus? Die Beiträger*innen geben fundierte Einsichten in die KI-gestützte Entscheidungs- und Urteilsfindung. Von der digitalen Operationalisierung über die Rolle des Menschen im Zentrum des technischen Fortschritts bis hin zur Konzeption von v...

Wie sieht ethische Verantwortung im Zeitalter der Digitalisierung, Datafizierung und Künstlichen Intelligenz aus? Die Beiträger*innen geben fundierte Einsichten in die KI-gestützte Entscheidungs- und Urteilsfindung. Von der digitalen Operationalisierung über die Rolle des Menschen im Zentrum des technischen Fortschritts bis hin zur Konzeption von v...

Several governmental organizations all over the world aim for algorithmic accountability of artificial intelligence systems. However, there are few specific proposals on how exactly to achieve it. This article provides an extensive overview of possible transparency and inspectability mechanisms that contribute to accountability for the technical co...

With the Proposal for a Regulation laying down harmonised rules on Artificial Intelligence (AI Act) the European Union provides the first regulatory document that applies to the entire complex of AI systems. While some fear that the regulation leaves too much room for interpretation and thus bring little benefit to society, others expect that the r...

Im Auftrag des Bundesministeriums für Wirtschaft und Klimaschutz haben DIN und DKE im Januar 2022 die Arbeiten an der zweiten Ausgabe der Deutschen Normungsroadmap Künstliche Intelligenz gestartet. In einem breiten Beteiligungsprozess und unter Mitwirkung von mehr als 570 Fachleuten aus Wirtschaft, Wissenschaft, öffentlicher Hand und Zivilgesellsch...

AI decisions are increasingly determining our everyday lives. At present, European anti-discrimination law is process-oriented; it prohibits the inclusion of sensitive data that is particularly protected. However, especially in the context of AI decisions, constellations can be identified in which the inclusion of sensitive characteristics will lea...

Der auf dem Fachsymposium vorgestellte Abschlussbericht „ExamAI – KI Testing und Auditing. Herausforderungen, Lösungsansätze und Handlungsempfehlungen für das Testen, Auditieren und Zertifizieren von KI“ fasst die zentralen Projektergebnisse und Empfehlungen übersichtlich zusammen. Neben einer kompakten Übersicht zu den Kernaussagen aus den einzeln...

With the increasing use of AI in algorithmic decision making (e.g. based on neural networks), the question arises how bias can be excluded or mitigated. There are some promising approaches, but many of them are based on a ”fair” ground truth, others are based on a subjective goal to be reached, which leads to the usual problem of how to define and...

Analytical quality assurance, especially testing, is an integral part of software-intensive system development. With the increased usage of Artificial Intelligence (AI) and Machine Learning (ML) as part of such systems, this becomes more difficult as well-understood software testing approaches cannot be applied directly to the AI-enabled parts of t...

With the increasing use of AI in algorithmic decision making (e.g. based on neural networks), the question arises how bias can be excluded or mitigated. There are some promising approaches, but many of them are based on a "fair" ground truth, others are based on a subjective goal to be reached, which leads to the usual problem of how to define and...

News diversity in the media has for a long time been a foundational and uncontested basis for ensuring that the communicative needs of individuals and society at large are met. Today, people increasingly rely on online content and recommender systems to consume information challenging the traditional concept of news diversity. In addition, the very...

Analytical quality assurance, especially testing, is an integral part of software-intensive system development. With the increased usage of Artificial Intelligence (AI) and Machine Learning (ML) as part of such systems, this becomes more difficult as well-understood software testing approaches cannot be applied directly to the AI-enabled parts of t...

Rund ein Jahr haben DIN und DKE in einem gemeinsamen Projekt mit dem Bun-desministerium für Wirtschaft und Energie und zusammen mit ca. 300 Fachleuten aus Wirtschaft, Wissenschaft, öffentlicher Hand und Zivilgesellschaft an der Nor-mungsroadmap Künstliche Intelligenz gearbeitet. Eine hochrangige Steuerungs-gruppe unter dem Vorsitz von Prof. Wolfgan...

Anwendungsszenarien KI-Systeme im Personal- und Talentmanagement. Online unter: https://testing-ai.gi.de/fileadmin/PR/Testing-AI/ExamAI_Publikation_Anwendungsszenarien_KI_HR.pdf

Concerns about social networks manipulating the (general) public opinion have become a recurring theme in recent years. Whether such an impact actually exists could so far only be tested to a very limited extent. Yet to guarantee the accountability of recommendation and information filtering systems, society needs to be able to determine whether th...

News diversity in the media has for a long time been a foundational and uncontested basis for ensuring that the communicative needs of individuals and society at large are met. Today, people increasingly rely on online content and recommender systems to consume information challenging the traditional concept of news diversity. In addition, the very...

News diversity in the media has for a long time been a foundational and uncontested basis for ensuring that the communicative needs of individuals and society at large are met. Today, people increasingly rely on online content and recommender systems to consume information challenging the traditional concept of news diversity. In addition, the very...

Artificial intelligence (AI) increasingly pervades all areas of life. To seize the opportunities this technology offers society, while limiting its risks and ensuring citizen protection, different stakeholders have presented guidelines for AI ethics. Nearly all of them consider similar values to be crucial and a minimum requirement for “ethically s...

Artificial intelligence (AI) increasingly pervades all areas of life. To seize the opportunities this technology offers society, while limiting its risks and ensuring citizen protection, different stakeholders have presented guidelines for AI ethics. Nearly all of them consider similar values to be crucial and a minimum requirement for “ethically s...

Since the h-index has been invented, it is the most frequently discussed bibliometric value and one of the most commonly used metrics to quantify a researcher’s scientific output. The more it is increasingly gaining popularity to use the metric as an indication of the quality of a job applicant or an employee the more important it is to assure its...