Artificial Intelligence (AI) is changing the way we communicate, inform ourselves and make political decisions. This has consequences for a democratic society. The new webspecial explains the challenges, but also the opportunities, that AI presents for opinion-forming and political elections. Using examples, video clips and an interactive quiz, it clearly shows where the use of AI affects democratic principles, how AI-generated or falsified media content - so-called deepfakes - are used and how they can be recognised as such. The webspecial is intended as a contribution to promoting media lite ..read more

ntelligence (AI) can ease the burden on the legal system and fundamentally contribute to fairer and more transparent judgements and proceedings. On the other hand, there are currently still qualitative weaknesses of AI systems in legal applications as well as ethical and legal concerns. A current white paper from provides an overview of of AI systems in the context of judicial decisions and addresses design options for the successful use of AI in law firms and courtrooms ..read more

The justice system in Germany is overloaded: Between 2021 and 2023, the number of open criminal proceedings increased by almost 30 per cent, according to the German Association of Judges However, the number of judges and public prosecutors in Germany will decrease significantly in the coming years due to retirement. AI systems promise a wide range of potential applications and greater efficiency for the legal system. In this interview, Frauke Rostalski explains how AI systems can relieve the burden on courts and contribute to fair judgements. She is Professor of Criminal Law, Criminal Procedur ..read more

In the super election year 2024, deepfakes and co. are attracting a lot of attention. The concern is that fake images, films and audio created with the help of generative Artificial Intelligence (AI) could influence individual voting decisions. Their actual influence on the outcome of elections has not yet been proven. Nevertheless, experts from Plattform Lernende Systeme are calling for AI to be prevented from influencing political processes and opinion-forming. This is because the mere attempt to disinformation undermines trust in democratic institutions. A current white paper highlights the ..read more

Artificial Intelligence (AI) is a key technology for the future viability of our economy and society. However, AI systems also harbour risks. With the AI Act, the European Union (EU) has now adopted the world's first transnational set of regulations for the safe and trustworthy use of AI. In its new issue of the AI Compact series, Plattform Lernende Systeme explains in a concise and clear manner what exactly is set out in the AI regulation, what opportunities and challenges are associated with the law and how the regulations are now being implemented ..read more

Skilled labour shortages threaten competitiveness and prosperity in Germany. Artificial Intelligence (AI) can make a contribution to securing skilled labour. For example, the technology can be used to reduce the workload of employees and support the integration of people with disabilities and migrant backgrounds into the labour market. A current white paper from Plattform Lernende Systeme uses practical examples to show the potential and challenges of using AI in business and administration. The experts identify the necessary framework conditions for securing AI-supported skilled labour, such ..read more

Artificial Intelligence (AI) can improve organisational workflows in hospitals and medical practices and thus relieve the burden on healthcare professionals. Unlike AI applications for the clinical area, AI solutions for billing, personnel planning or documentation can be used at short notice and immediately save time and costs. A current white paper from Plattform Lernende Systeme uses practical examples to show how AI can contribute to better quality of care in organisational processes. In order for the applications to be used quickly in day-to-day care, they must be tailored to the needs of ..read more

The latest successes in the development of generative AI are based on "more and more" centrally processed data, upscaled neural networks and computing capacities. This is accompanied by data protection issues, costs and increasing resource consumption. Research and industry are therefore currently pursuing a different approach in parallel: the decentralisation of AI architectures along the lines of edge computing - known as edge AI. The aim is not to process and analyse data for AI systems in the cloud, but rather as close as possible to where it is generated - i.e. close to the user ..read more

Using Artificial Intelligence (AI) locally on smartphones, in vehicles or industrial robots offers enormous opportunities for the German economy and society. Compared to large AI models that are operated centrally on large computing infrastructures, edge AI requires significantly less energy, protects the privacy and data of users and enables reliable applications in real time. Plattform Lernende Systeme recognises that Germany is in a good starting position in international competition to exploit the potential of the technology. However, research and development face technical challenges and ..read more

When it comes to Artificial Intelligence (AI) in medicine and care, most people think of surgical robots or assistance systems in radiology. Less in the limelight are AI applications that support healthcare professionals with time-consuming administrative tasks - be it documentation, duty rostering or billing. Such software solutions offer great potential and, unlike AI systems for the clinical sector, quickly save time and money. In this interview, Andrea Schmidt-Rumposch explains how AI can make medical and nursing processes more efficient and what hurdles healthcare facilities face when int ..read more