CV Tag: Public Advisory Board

  • A perspective on Yoshua Bengio’s lecture at Cyber Valley Day

    A perspective on Yoshua Bengio’s lecture at Cyber Valley Day

    “AI ethics and society” is a new series of articles written by members of the Cyber Valley Public Advisory Board (PAB) on ethical issues surrounding AI. In this first article from the series, Deputy Spokesperson of the PAB and former Director of the World Ethos Institute Tübingen, Ulrich Hemel reflects on Yoshua Bengio’s lecture at Cyber Valley Day and whether it is possible to embed “objective” ethical values into AI models.

    Daten sind Macht [Data is power] is the title of a new book by Katharina Schüller. How we deal with power is an eternal question. Does the state exert control? Does civil society have control? Or do companies regulate themselves? Since all researchers deal with data, data ethics is important even if it is ignored.

    Cyber Valley is currently the only major AI institution in the world to have established a Public Advisory Board to examine the social and ethical issues surrounding AI. The members are appointed by the Ministry of Science in Baden-Württemberg and represent diverse perspectives, professions, and roles. The Public Advisory Board’s task is to provide expert guidance on ethical issues and to advise stakeholders in Cyber Valley on the societal and political implications of AI. After all, ethical questions concern not only the individual but also how we all live together: Political ethics comes into play alongside individual ethics.

    The “outbreaks” of AI agents from their test environments in the summer of 2026 demonstrate just how critical ethical issues have become. Who is responsible? Should the company or should the government be held responsible for implementing the necessary regulations? And how should we act—as individuals, as companies, as a society?

    Yoshua Bengio at Cyber Valley Day on September 9, 2026. Photo: Christian Borth

    At Cyber Valley’s tenth anniversary celebrations, Yoshua Bengio presented his idea of value-based AI development as objectively as possible. That sounds good, but what’s behind it? After all, when it comes to ethical questions, it’s clear that they cannot be considered apart from one’s own perspective. It makes a difference whether I am female or male, have children or do not have children, am disabled or not, and whether I approach a topic as a young researcher from the Global South or as an older white scientist from Europe. In other words, values and principles are always accompanied by perspectives and interests, some of which we are aware of, and some of which arise “implicitly” from the reality of our lives.

    The idea of “objective” ethics therefore does not hold up to philosophical scrutiny. We can make our positions transparent, and we can refer to overarching principles such as “humanity.” We can collect relevant data and possibly agree on which data should be considered “relevant.” We can and we should opt for “ethics by design” but we must transparently show our ethical standpoint and background. As a matter of fact, we can never avoid context-dependent interpretations.

    When taking an ethical perspective, it is therefore difficult to claim that one can or even wants to embed “objective” ethical values into AI models. On the contrary, anyone who neither recognizes nor transparently acknowledges their own limitations and perspectives lacks either the necessary reflection or transparency regarding their own contextual assumptions.

    Yoshua Bengio at Cyber Valley Day on September 9, 2026. Photo: Christian Borth

    Yoshua Bengio’s lecture could therefore serve as an invitation to a broader conversation. What assumptions do we bring to our research? How can we disclose the premises of our own research and thereby bring them into the realm of public discussion? How do we avoid the tactics of instrumental and “combative” ethical rhetoric, in which ethical terms are used unethically because they are primarily aimed at advancing one’s own interests?

    The appeal of a good, public ethical discourse is that it yields long-term benefits for how we live together in society. When different perspectives are given a voice, diversity becomes tangible in a positive sense, while raising awareness of risks and opportunities. Such risks can easily be overlooked—even when they are without any malicious intent—when we avoid such discourse.

    The same applies to Cyber Valley: in the medium term, improved skills in the art of ethical argumentation and dialog will be reflected in an improved breadth and depth of research. And that’s exactly what it’s all about: the invitation to think about the consequences and prerequisites in the context of AI research, always with the big question: What kind of world do we want to live in? The discussion on this is open; the invitation to it stands!

    Further reading

    Ulrich Hemel, From Wild West to a World in Balance: AI and the Future of Global Civil Society, in: Reinhard Kahle, Harald Mieg, and Michael Resch (eds.), AI and Society, Jahrbuch Wissenschaftsforschung 2024 der Gesellschaft für Wissenschaftsforschung (Berlin: University Publishing, 2026), pp. 133–155. 

    Ulrich Hemel, Datenethik zwischen gesellschaftlichem Anspruch und betrieblicher Praxis, in: Andreas Gillhuber, Göran Kauermann, Wolfgang Hausner (eds.), Künstliche Intelligenz und Data Science in Theorie und Praxis, Von Algorithmen und Methoden zur praktischen Umsetzung in Unternehmen (Berlin: Springer, 2023), pp. 93–105. 

    Katharina Schüller, Daten sind Macht, Kompetentes Entscheiden im Zeitalter von KI (Frankfurt/M. und New York: Campus 2025).

    Stay tuned for further perspectives from the Cyber Valley Public Advisory Board on “AI ethics and society”.

  • Unveiling anomalies for safer connections

    Unveiling anomalies for safer connections

    Six partners within the Cyber Valley Community have generously contributed to the Cyber Valley Research Fund, totalling five million euros, to facilitate independent basic research. Research groups were invited to submit project proposals for the Research Fund, which the Cyber Valley Public Advisory Board evaluated, taking into account scientific excellence, as well as ethical and societal considerations.

    The research project’s core objective was anomaly detection within networked datasets, primarily focusing on identifying abnormal behavior across diverse network types, including social, communication, and transportation networks. The project thereby aimed to provide early warnings of potential threats or irregularities.

    The research introduced a novel approach that combined community structure with anomaly detection, enabling the identification of anomalies as edges that deviate from regular patterns. This innovative technique leveraged the structure of dynamic networks over time and inferred anomalies by integrating domain knowledge, such as community membership, into the analysis.

    The project yielded promising results, showcasing the model’s accuracy in capturing both community and anomaly structures, and its significant performance in predicting links within networks. The developed ideas and methodologies hold pertinent applications, particularly in fields such as cybersecurity and social network analysis, offering promising avenues for addressing critical challenges like fraud detection and network security enhancement. This includes applications such as uncovering fake users on social media platforms and detecting fraudulent activities in financial transactions.

    Furthermore, the research provided valuable insights into the dynamics of real-world networks by leveraging community structure alongside dynamic patterns of edge additions and deletions. Ultimately, the project not only advanced scientific understanding of network dynamics but also holds substantial potential for meaningful real-world impact. These discoveries herald new possibilities for addressing complex issues and enhancing the security and efficiency of various network systems.

    This project has yielded three peer reviewed publications:

    • “Anomaly detection and community detection in networks”, H. Safdari and C. De Bacco, J Big Data 9, 122, https://doi.org/10.1186/s40537-022-00669-1, 2022.
    • “Anomaly, reciprocity, and community detection in networks”, H. Safdari, M. Contisciani and C. De Bacco, Phys. Rev. Research 5, 033084, https://link.aps.org/doi/10.1103/PhysRevResearch.5.033084, 2023.
    • “Community detection and anomaly prediction in dynamic networks”, H. Safdari and C. De Bacco, work in progress, 2024. Paper and preprint expected to be submitted by April 2024.

    It also yielded two inventions:

  • Ethics in tech entrepreneurship

    Ethics in tech entrepreneurship

    Beim Aufbau eines Start-ups stehen Gründer:innen vor vielen Herausforderungen, wie dem Aufbau eines Teams, der Entwicklung eines Produkts und der Gewinnung von Kunden. Daher ist es nicht immer das vorrangige Ziel von Gründer:innen, sich ausführlich mit ethischen Fragen zu befassen. In der nächsten Ausgabe unserer Cyber Valley Entrepreneurship Series werden unsere Referent:innen erläutern, warum es sehr nützlich sein kann, beim Aufbau eines Unternehmens auch ethische Aspekte zu berücksichtigen. Unsere Expert:innen geben Einblicke in verschiedene Perspektiven der Ethik für KI-Start-ups und zeigen mögliche Vorteile auf.

    Wissenschaftler:innen, Gründer:innen, Studierende und alle, die sich für das Thema „Ethics in tech entrepreneurship“ interessieren, sind herzlich eingeladen, am Donnerstag, den 23. Juni, 14:00–15:30 Uhr MESZ dabei zu sein.

     

    Referent:innen

    Tillmann Lang
    Gründer & CEO, Inyova Impact Investing GmbH

    Michael Raschke
    CEO Blickshift GmbH

    Ulrich Hemel
    Direktor Weltethos-Institut in Tübingen

    Zhijing Jin
    MPI-IS, Abteilung Empirische Inferenz

    Rebecca C. Reisch
    Geschäftsführerin Cyber Valley

     

    Registrierung

    Bitte hier registrieren. Das Event findet via Zoom und in englischer Sprache statt.

     

    Kontakt

    Oliwia Gust, Cyber Valley Event Managerin
    Telefon: +49 7071 601 1554
    Mobil: +49 151 4075 6302 
    E-Mail: oliwia.gust@cyber-valley.de