Julia Maria Moenig

How to deal with ethical challenges when using artificial intelligence (AI) applications in the fields of arts, biometric profiling, industry and critical infrastructure, law enforcement, medicine and care and social media? This white paper offers guidance and provides a basis for ethical reflection on this question. It continues the effort tied to the "Certified AI" project, one of the KI-NRW flagship projects, financed by the Ministry of Economic Affairs, Innovation, Digitalization, and Energy of the State of North Rhine-Westphalia. The project seeks to develop certification methods for trustworthy artificial intelligence (AI). While in our Use Cases Catalog we documented 18 potential fields of application for AI systems, in our Catalog of General Ethical Requirements for AI Certification, we sought to propose general principles, evaluation criteria, normative recommendations, and practical implementations that can help developers and other types of stakeholders in making trustworthy AI development a pragmatic endeavor. Building upon the above mentioned works, this study explores the ethical challenges of applying the general principles and practices we mapped onto specific fields of application.

This whitepaper offers normative and practical guidance for developers of artificial intelligence (AI) systems to achieve "Trustworthy AI". In it, we present overall ethical requirements and six ethical principles with value- specific recommendations for tools to implement these principles into technology. Our value-specific recommendations address the principles of fairness, privacy and data protection, safety and robustness, sustainability, transparency and explainability and truthfulness. For each principle, we also present examples of criteria for risk assessment and categorization of AI systems and applications in line with the categories of the European Union (EU) AI Act. Our work is aimed at stakeholders who can take it as a potential blueprint to fulfill minimum ethical requirements for trustworthy AI and AI Certification.

The relationship between AI, ethics, societal values and standardization is complex. The contributors to this volume discuss the challenges and opportunities involved in standardizing AI ethics, including algorithmic audits, stakeholder participation and certification mechanisms. They offer a comprehensive and interdisciplinary approach to AI ethics governance, covering topics such as auditing auditors, deceptive robots, HR perspectives on AI in job hiring, and how existing citizen infrastructures can inform standardization processes for ethical AI applications.

Warum sind unsere Daten und das Private schützenswert? Diese Frage stellt sich insbesondere in Zeiten der vierten Industriellen Revolution, des Internets der Dinge und des politischen Wandels. Julia Maria Mönig zeigt, dass Hannah Arendts Anliegen, das Private unbedingt zu bewahren, von ihrem Verständnis des antiken Haushalts bis hin zur Verletzung der informationellen Privatheit im Totalitarismus aufschlussreiche Einsichten in aktuelle Debatten - etwa über Cybermobbing - liefert. Das Buch richtet sich an Philosoph_innen ebenso wie an Datenschützer_innen und Privatheitsforscher_innen verschiedener Disziplinen sowie an alle, die sich über die Zukunft und Gegenwart der Demokratie Gedanken machen.

This document provides you with methodological guidance on how to design ethical governance activities in the context of strategic development in Higher Education, Funding and Research Centres (HEFRCs) wishing to implement an ETHNA System. The guide outlines a set of options and vivid examples for conducting deliberative workshops with key actors in your organisation, e.g., actors from civil society, research, innovation and funding communities, business and industry or policy makers. By engaging stakeholders in deliberative participation at an early stage, you can effectively identify, discuss and take into account societal values, needs and expectations related to the RRI activity you plan to undertake. This guide will help you learn more about methods and techniques to promote dialogical learning and deliberation in stakeholder workshops. Both dialogical learning and deliberation are key pathways to engage stakeholders in the ethical governance of R&I.

This guide enables Higher Education, Funding and Research Centres (HEFRCs) to explore possible stakeholder engagement strategies that can help to encourage sustainable research and innovation (R&I) practices. It can serve as a concrete roadmap for engaging stakeholders from a wide range of societal groups who are willing to participate in a dialogue on ethical governance. The stakeholder mapping guide aims to enhance the positive impact of implementing an ETHNA System by developing a governance structure that promotes more responsible research and innovation (RRI) based on citizen and community discourse. Using this guide can thus contribute to ensure that research is more responsive to society‘s needs, values, and expectations