Nur wenig stört Amerikas Linke mehr als Schwarze, die über die Notwendigkeit von Bildung und Disziplin reden, statt über strukturelle Diskriminierung zu klagen.

In der heutigen datengesteuerten Welt gewinnt der Datenschutz immer mehr an Bedeutung. In dieser Präsentation mit dem Titel "Privacy Positioning - Kundenzentrierung im Umgang mit Kundendaten" werfen wir einen genauen Blick auf das Thema Datenschutz im Marketingkontext. Zu Beginn adressieren wir das Problem und erklären, warum Datenschutz in der Tat ein Marketingproblem ist. Darauf folgend stellen wir das Konzept der Datenschutzorientierung vor und beleuchten, wie wir es messen können. Mit der Grundlage dieser Informationen schlagen wir eine Strategie vor, um ein Unternehmen optimal in Bezug auf Datenschutz zu positionieren. Am Ende diskutieren wir praktische Schritte, die sofort umgesetzt werden können, um die Datenschutzpraktiken zu verbessern und gleichzeitig die Kundenorientierung zu gewährleisten.

Technology companies are leading the pack in the use of Artificial Intelligence (AI) and other industries are taking advantage of AI to streamline processes and increase competitive advantage. On the way to implementing AI, organizations face ethical and organizational obstacles, which this study identifies through a structured literature review. It identifies six general ethical barriers to AI adoption, i.e., human well-being, trust, fairness, transparency, oversight & regulation, and accountability and four organizational barriers, i.e., resources, governance, culture, and employee intention to use AI. The study then examines two AI organizational governance frameworks and discusses how they might be useful in overcoming the barriers.

Modern Infrastructure as Code (IaC) programs are increasingly complex and much closer to traditional software than to simple configuration scripts. Their reliability is crucial because their failure prevents the deployment of applications, and incorrect behavior can introduce malfunction and severe security issues. Yet, software engineering tools to develop reliable programs, such as testing and verification, are barely used in IaC. In fact, we observed that developers mainly rely on integration testing, a slow and expensive practice that can increase confidence in end-to-end functionality but is infeasible to systematically test IaC programs in various configurations—which is required to ensure robustness. On the other hand, fast testing techniques, such as unit testing, are cumbersome with IaC programs because, today, they require significant coding overhead while only providing limited confidence.To solve this issue, we envision the automated testing tool ProTI, reducing the manual overhead and boosting confidence in the test results. ProTI embraces modern unit testing techniques to test IaC programs in many different configurations. Out of the box, ProTI is a fuzzer for Pulumi TypeScript IaC programs, randomly testing the program in many different configurations for termination, configuration correctness, and existing policy compliance. Then developers can add specifications to their program to guide random-based value generation, test additional properties, and add further mocking, making ProTI a property-based testing tool. Lastly, we aim at automatically verifying IaC-specific properties, e.g., access paths between resources.