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Whether service robots, intelligent walkers or lifting aids for transferring patients - technical assistance systems can support people in need of care as well as their relatives and caregivers in the near future with the help of Artificial Intelligence (AI). In a current application scenario, the Plattform Lernende Systeme illustrates a care situation that could be reality in a few years. A multimedia graphic (in German) illustrates how AI systems can enable a stroke patient to lead a self-determined life at home and which questions still need to be clarified along the way.

Artificial Intelligence (AI) is changing our working world. AI systems can relieve employees of their tasks and streamline work processes. However, the introduction of the technology in companies is also associated with challenges. For it to be a success for both employees and companies, structured change management is required. Oliver Suchy explains what is involved and how companies can best prepare their employees for the change. He is head of the "Digital Working Worlds and Working World Reporting" department of the German Trade Union Confederation (DGB) and a member of the Future of Work and Human-Machine Interaction working group of Plattform Lernende Systeme.

Many SMEs are still reluctant to use Artificial Intelligence (AI). A first starting point is the analysis of their own value chain: Where and how can AI support them as a powerful computing tool? Professor Dr. Alexander Löser explains in an interview how SMEs can benefit from AI in concrete terms, what process steps are involved and why the introduction of AI requires a willingness to fail. He is the founder and spokesman of the Data Science Research Center at the Beuth University of Applied Sciences in Berlin and a member of the "Technological Enablers and Data Science" working group of Plattform Lernende Systeme.

Artificial Intelligence (AI) can help to intelligently network transport systems, making them more flexible, economical and sustainable. This is accompanied by completely new business models. For an intelligently networked transport area to succeed, AI-based mobility platforms must connect companies of all sizes and sectors. This is the central result of a current white paper of Plattform Lernende Systeme. The authors show how travel and transport companies can adapt their business to the digital age and present possible AI-based solutions - from intelligent ports to last mile delivery robots and valet parking. They outline the framework conditions to be created in order to realise sustainable AI business models in the mobility sector.

The Corona crisis is driving digital change and thus the use of Artificial Intelligence (AI). AI systems make an important contribution to crisis management. However, the pandemic also reveals where they are not yet able to develop their full social and economic potential. In a position paper, the steering committee of Plattform Lernende Systeme formulates approaches for the future-oriented design of AI in Germany and Europe in order to be able to better meet future crises and to strengthen competitiveness. Trustworthy, certifiable AI solutions, efficient, secure data rooms and infrastructures as well as AI competencies are necessary.

Artificial Intelligence (AI) is the next stage of digitisation and promises great benefits for the economy and society. The basis for successful AI applications is data. In order to exploit the potential of Artificial Intelligence, comprehensive data management is needed to make the available data accessible in the first place. A current whitepaper of Plattform Lernende Systeme shows the importance of the interdisciplinary research branch Data Science as a key discipline for science as well as economy and names options for action. The experts suggest that knowledge of data management should also be taught in courses of study that are not related to IT and in schools and recommend an independent data infrastructure.

Medical assistance systems, software for fraud detection or the predictive maintenance of industrial plants promise great benefits. Co-Author Kai-Uwe Sattler, Professor of Databases and Information Systems at the TU Ilmenau, explains why it is important to have the "right" data, what is meant by data engineering and what skills data science experts need. He is a member of the working group "Technological Pioneers and Data Science" of the Plattform Lernende Systeme and co-author of the white paper "From Data to AI".

Artificial Intelligence (AI) can improve health care and support nurses and doctors in diagnoses and therapy decisions. Patient representatives see the use of AI-based assistance systems in medicine and nursing predominantly as an opportunity. This is the result of a qualitative survey, which Plattform Lernende Systeme presents in a current conference report. The majority of those questioned hope for more personalised treatment and a more comprehensive and faster diagnosis. The patient representatives name the misuse of their data and incorrect or discriminatory decisions made on the basis of AI systems as risks.

Artificial Intelligence promises many beneficial applications. The extent to which these are actually realised depends largely on whether people have confidence in the technology. What challenges arise for the responsible development and application of AI systems? According to which criteria should they be implemented? And what can companies do to apply AI without discrimination? Answers to these questions can be found in a guideline that was developed by the IT Security, Privacy, Law and Ethics working group of Plattform Lernende Systeme under the direction of Jessica Heesen.

The corona crisis accelerates digitization. Home offices, video conferences and learning platforms are part of our so-called "new normality". However, the challenges of digitization can also be viewed as if under a magnifying glass in the pandemic. How do we deal with the risks for data protection and IT security, for example? What impact will the pandemic have on our use of technology? And will we make greater use of Artificial Intelligence in our everyday lives? Experts from Plattform Lernende Systeme and acatech discussed these questions with citizens at the Political Academy Tutzing from September 9 to 10.

Applications of Artificial Intelligence (AI) are finding their way into more and more areas of life. At the same time, many people are still not quite clear about what is behind the technology. How can the functioning, applications, opportunities and challenges of Artificial Intelligence (AI) be successfully communicated to a broad public? This question was the focus of a web-talk to which the Bavarian Research Institute for Digital Transformation (bidt) also invited representatives of the Plattform Lernende Systeme on July 17, 2020.

From intelligent failure forecasts for production lines to data-based monitoring in greenhouses and AI-controlled hand prostheses - Plattform Lernende Systeme uses a total of 13 practical examples from SMEs and industry to illustrate in its current report how new business models can be developed from data. The study shows: Collaboration and the sharing of data, technologies and skills in businessnetworks will be essential for companies in the future if they are to remain competitive in a digitalised economy.

In the age of digitalisation, data are considered treasures, the value of which many companies are not yet aware of. Through Artificial Intelligence and Machine Learning, they can be made usable - even for small and medium-sized companies. Olga Mordvinova, founder and managing director of the AI start-up incontext.technology GmbH, explains how intelligent data analysis can support them in improving existing processes or developing new business models.

The use of Artificial Intelligence (AI) in the world of work fundamentally changes the division of tasks between man and machine. Learning AI systems can perform increasingly complex tasks independently and work hand in hand with the employees. A current whitepaper shows how the division of labour between man and AI can be shaped in the interest of the employees.

Artificial Intelligence has long since arrived in the everyday lives of many people. But what is AI anyway, what developments and applications can be expected and what questions does this raise for society? On the occasion of the nationwide Digital Day on June 19, the Plattform Lernende Systeme, acatech and the Bayerische Landeszentrale für politische Bildungsarbeit invited to a virtual advanced training for teachers on the topic of AI.

Artificial Intelligence (AI) is already used in many industries. In order to exploit its economic and social potential, it is essential to strengthen trust in AI systems and the processes and decisions associated with them. A possible key prerequisite for this is the certification of AI systems. The benefits it promises and the demands it makes in terms of technical implementation, public welfare and maintaining innovative strength are outlined by experts from the Plattform Lernende Systeme in a discussion paper. It provides an overview of existing certification projects in Germany and forms the basis for further discussions.

Thomas Schauf, Senior Expert Public and Regulatory Affairs at Deutsche Telekom AG, together with other members of Plattform Lernende Systeme, has examined data management and IT security when using AI in medicine in a current white paper. In our interview he explains how patient data can be protected and how access to sensitive information can be regulated.

Data Scientists are desperately sought. The Gesellschaft für Informatik e.V. (Society for Computer Science) has defined the skills that need to be taught at colleges and universities, but also through further education courses. (GI) in cooperation with Plattform Lernende Systeme. Co-author Ulf Brefeld from the Leuphana University of Lüneburg explains why the target groups are very different.

The intelligent use and linking of data enables new forms of entrepreneurial cooperation and completely new business models. In the future, products and services can be adapted to the individual wishes and needs of customers. This raises the question for companies: How can they use AI for their business or develop new AI-based business models? Our member Andreas Liebl provides answers to these questions.

Artificial Intelligence (AI) will improve the security of IT systems in the future. In the hands of cybercriminals, on the other hand, it opens up whole new avenues of attack for threatening IT security. The AI systems themselves also have to be protected from manipulation. The “Artificial Intelligence and IT security” white paper published by Plattform Lernende Systeme for Hannover Messe 2019 analyses the dynamic between IT security and AI. The authors, who are drawn from the fields of business, science and public authorities, call on small and medium-sized enterprises and IT specialists in particular to help build up core skills.

To mark the start of “Year of Science 2019 – Artificial Intelligence”, Plattform Lernende Systeme is tracing the development of Artificial Intelligence (AI) since its earliest days. A five-minute explanatory film illustrates the different stages of the technology’s development, milestones in AI applications and the challenges that lie ahead.

Phishing mails, false online requests or fake news - on Safer Internet Day the focus is on security in the network and of IT systems. In an interview, Holger Hanselka, steering committee member of Plattform Lernende Systeme and President of KIT, explains how AI can improve IT security and where it opens up entry points for new threats.

Germany has the potential to become a sustainable hub for innovative Artificial Intelligence where self-learning systems ensure growth and better quality of life. At the Digital Summit organised by the German Federal Ministry for Economic Affairs and Energy, the panel of experts from Plattform Lernende Systeme, demonstrated that achieving this goal calls for industry, SMEs, researchers and politicians to work together.

Plattform Lernende Systeme is bringing the societal debate on Artificial Intelligence to a wider audience. The decision to do so was taken by the Steering Committee of the platform – an initiative of the German Federal Ministry of Education and Research (BMBF) – on 30 October in Berlin.

The international artificial intelligence (AI) race is well under way. With the help of a national AI strategy, the German Federal Government aims to pool the country’s resources and make it the world’s leading AI location.

Artificial Intelligence (AI) is becoming a driving force of digitalisation. Experts from Plattform Lernende Systeme – Germany’s platform for Artificial Intelligence – are at this year’s CEBIT to discuss how the use of AI is changing work, business models and everyday life. Trade fair visitors can also stop by the stand run by the Federal Ministry for Education and Research (BMBF) to try out self-learning systems for themselves.

Federal Research Minister Johanna Wanka opened “Science Year 2018 – Working life of the future” on 19 February at the Federal Ministry of Education and Research (BMBF) in Berlin.

The Plattform Lernende Systeme links experts from industry and science across sectors and disciplines to achieve this aim. The heads of the platform’s seven working groups presented the priority topics of their work programmes at a meeting in Berlin on January 8.

Industrie 4.0 is still shaping current developments in the economy as Germany now faces new tasks for the future: Learning Systems and Artificial Intelligence. The Federal Ministry of Education and Research (BMBF) plans to expand on this topic structurally and promote collaboration between research and industry in particular.