Neuland

In einer zunehmend vernetzten Welt geraten unsere Systeme und Infrastrukturen immer stärker ins Visier – nicht nur von klassischen Cyberkriminellen, sondern auch von staatlich gelenkten Akteuren und gut organisierten Gruppen. Die Angriffe sind oft leise, vielschichtig und gezielt: Manipulierte Informationen, Cyberattacken, Sabotageakte und digitale Spionage. Die Bedrohung ist vielfältig – und sie ist real. Hinzu kommt aktuell die Herausforderung durch die transatlantischen Unsicherheiten. Wir sprechen darüber mit Prof. Christian Dörr und Dr. Martin C. Wolff. Ihr Podcast "Abgewehrt" ist unter anderem hier abrufbar: https://abgewehrt.podigee.io/

Wer sich für die Potsdamer Konferenz für Nationale Cybersicherheit am 21. und 22. Mai 2025 anmelden...

The rapid pace of progress in artificial intelligence (AI) has far-reaching implications for all industries. In this context, there is a need to move quickly to keep up with the competition, while at the same time upholding ethical standards and updating ethical best practices to consider the latest technical developments. This panel will explore how ethical principles, and a sense of responsibility can be integrated into the development and implementation of AI systems. Experts from various industries discuss how principles such as fairness, transparency, and data protection can be implemented in practice to minimize the risks and potential negative impacts...

In the wake of the COVID-19 pandemic, the need to trust AI in global health has become increasingly important. As we navigate global challenges such as poverty, conflict, and societal polarization, trust in AI and its role in health management is under scrutiny. This panel explores AI's potential to enhance global public health, improve crisis preparedness, and combat misinformation. Key questions include: Can AI truly support the common good without human oversight? How can we balance technological progress with preserving essential human values? Beyond the health sector, trust in AI is essential for its broader adoption. Health, as a key...

As artificial intelligence (AI) increasingly integrates into various aspects of our lives, addressing the ethical implications of its use becomes more crucial. Algorithmic decisions are often made at such a massive speed and volume that human oversight is no longer practical. In this panel, experts from various disciplines will explore how biased data and a lack of diversity in development can lead to discriminatory outcomes. This is particularly troublesome for recent AI models with many millions of parameters that are far too complex to be interpretable by humans. The discussion focusses on how biases arise in datasets and algorithms, the...