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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 Procedure Law, Philosophy of Law and Comparative Law at the University of Cologne, member of the German Ethics Council and member of Plattform Lernende Systeme.

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 www.ki-und-demokratie.de of Plattform Lernende Systeme explains the challenges, but also the opportunities, that AI presents for opinion-forming and political elections. Using numerous 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 literacy.

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 introducing AI systems. She is Director of Nursing at Essen University Hospital and a member of the Health Care, Medical Technology and Care working group of Plattform Lernende Systeme.

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 hurdles when it comes to transferring the technology into practice. A current white paper provides an overview of the strengths and weaknesses of Edge AI and discusses options for putting the technology into practice.

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 healthcare professionals and embedded in existing processes.

Skilled workforce shortages threaten competitiveness and prosperity in Germany. Artificial Intelligence (AI) can make a contribution to securing skilled workforce. 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 workforce, such as promoting AI skills at school or investing in data and computing infrastructures.

Robots that learn independently and work closely with humans - the combination of robotics with Artificial Intelligence (AI) methods has great potential for society and the economy. Robots capable of learning can relieve the burden on employees, alleviate the shortage of skilled workers and support people with disabilities. However, there is still a long way to go before AI-controlled helpers become part of our everyday lives. In its new web special, Plattform Lernende Systeme provides an overview of adaptive robotics: a dashboard shows areas of application and developments, while experts from the platform shed light on opportunities and hurdles from various perspectives.

Artificial Intelligence (AI) can accelerate the development of medicines and promote personalised medicine across the board. In this way, better and individualised medicines can be brought to market more cost-effectively. However, before the population can benefit from more favourable drug prices and innovative medicines, sufficient high-quality data from patients must be made available for research in addition to data on active ingredients, and a legally secure regulatory framework must be created. A current white paper from Plattform Lernende Systeme uses practical examples to show the potential of AI in drug development and addresses design options for overcoming the existing hurdles.

Large AI models that generate texts or images based on huge amounts of data and machine learning continue to cause a stir. However, data-based AI approaches also reveal limitations, for example due to their resource-intensive training or the lack of transparency of the AI system. Hybrid AI offers a promising alternative for sensitive areas of application such as medicine: it combines data-driven AI approaches with human knowledge and promises energy-efficient, robust and explainable AI systems. Plattform Lernende Systeme explains what hybrid AI is and the potential and challenges associated with it in a short publication.

Around 7.9 million people with impairments lived in Germany in 2020; about one third of them of working age. Their integration into the world of work is not only ethically and legally necessary, but also economically essential in view of the shortage of skilled workers. Artificial intelligence (AI) can help people with impairments to cope with their tasks in everyday working life. Angelika Bullinger-Hoffmann explains in an interview how participation can be improved with the help of AI technology - and which hurdles have to be overcome along the way. She is Professor of Work Science and Innovation Management at Chemnitz University of Technology 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 Berlin and a member of the "Technological Enablers and Data Science" working group of Plattform Lernende Systeme.

Artificial Intelligence (AI) will shape all areas of our lives in the future. With the current technological leaps in large-scale language models and robotics, many questions also arise: What do we want to use AI for? How can responsible use of AI be promoted? And how can Germany and Europe catch up in the international competition for AI? Plattform Lernende Systeme discussed these questions with more than 200 guests at its conference "Pioneering: Fit for the Future with Artificial Intelligence" on June 14 in Berlin.

Artificial Intelligence (AI) is a key technology for a sustainable economy and society. At the same time, AI systems also harbor risks. In the current debate about ChatGPT and other generative AI models, there are calls for regulation of the technology. An overview of possible forms and current regulatory initiatives - from the European AI Act to industry standards - is provided by a new web service of Plattform Lernende Systeme.

Artificial Intelligence (AI) can relieve healthcare workers and improve patient care. Medical and nursing professionals are generally open to the use of the technology, but demand technical and organizational changes in everyday inpatient and outpatient work so that patients and specialist staff can benefit from AI systems. This is the result of a qualitative survey of healthcare professionals conducted by Plattform Lernende Systeme which was presented today at the DMEA healthcare trade fair in Berlin.

The ChatGPT language model has brought Artificial Intelligence (AI) into the public eye. The text bot is part of a new generation of AI systems that compose texts, generate images and videos, or program codes. Whether in companies, medicine or the media world - the possible applications of so-called large language models are manifold. In the new web format "Perspectives on AI," experts from Plattform Lernende Systeme discuss the technological progress they promise, their potential for business and society, and the ethical and legal challenges associated with their use.

Artificial Intelligence (AI) can support balanced, trustworthy journalism in the digital age. Self-learning AI systems relieve journalists of the burden of researching, disseminating, and creating media content, thus creating free space for high-quality journalistic activities. At the same time, the use of AI poses challenges for the working reality of media professionals and the open formation of opinion in democracy. In a recent white paper, experts from Plattform Lernende Systeme show how AI tools can be used responsibly in journalism and what framework conditions need to be created for this.

Artificial Intelligence (AI) makes an important contribution to sustainable development and the innovative capacity of our economy and society. It enables more efficient business processes, new business models and major advances in medicine, mobility or climate-friendly energy generation. In its latest progress report, Plattform Lernende Systeme outlines how we can harness the potential of AI and accelerate the transfer from research to practice.

Artificial Intelligence (AI) and data economics strengthen the competitiveness of the economy: They contribute to more efficient business processes and enable new business models. The prerequisite for the successful use of AI in companies is an AI- and data-savvy workforce. At the German government's Digital Summit on December 9 in Berlin, Federal Research Minister Bettina Stark-Watzinger and Reinhard Ploss, both co-chairs of Plattform Lernende Systeme, will discuss what qualifications are needed and what hurdles the shortage of skilled workers poses for companies, along with computer science professor Ute Schmid.

Is Artificial Intelligence on the way to developing its own consciousness? The discussion about this is in full swing - not least since Google researcher Blake Lemoine attested to the language model for dialogs LaMDA that it communicates like "a seven or eight-year-old child". How should this assessment be evaluated? What characterizes human consciousness? And why do people tend to anthropomorphize technology? Computer scientist and psychologist Ute Schmid provides answers to these questions. She is a professor of cognitive systems at the University of Bamberg and heads the Technological Enablers and Data Science working group at Plattform Lernende Systeme.

Digitalization and the increasing use of AI systems are profoundly changing jobs - both in industry and in the service sector. What needs to be done to ensure that the use of AI contributes to socially sustainable development, in other words: puts people at the center and contributes to a sustainable, globally just and livable society? Nadine Müller, Head of Innovation and Good Work at the United Services Union ver.di and member of Plattform Lernende Systeme, provides answers in this interview.

Is Artificial Intelligence on the way to developing its own consciousness? The discussion about this is in full swing - not least since Google researcher Blake Lemoine attested to the language model for dialogs LaMDA that it communicates like "a seven- or eight-year-old child who happens to have a clue about physics. How should this assessment be evaluated? What distinguishes large neural networks from other AI systems? And: What role will they play in the future and in international competition? Stefan Wrobel, Director of Fraunhofer IAIS, answers these questions in an interview.

Artificial intelligence (AI) is changing the world of work - and with it leadership in companies and institutions. Its use can relieve managers, but also raises ethical and labor law issues. Rahild Neuburger explains which management tasks AI systems can support and what needs to be taken into account to ensure the successful introduction of AI in companies. She is a senior lecturer at the LMU Munich School of Management at Ludwig-Maximilians-Universität München and a member of the Work/Qualification and Human-Machine Interaction working group of the Learning Systems Platform.

Artificial Intelligence (AI) is changing the world of work - and with it leadership in companies and institutions. AI systems can relieve managers of routine tasks and free up time for personnel management, strategic planning and change management in the AI age. However, the AI-supported automation of management tasks raises data protection and labor law issues as well as organizational questions and can therefore unsettle employees. People must always remain at the center, say the authors of a recent white paper from Plattform Lernende Systeme. What is needed is a management culture based on participation, openness and transparency.

Artificial Intelligence (AI) is considered a key digital technology of the future. AI-based computer systems can control traffic, optimize production processes and support doctors in diagnosis. We have long been using AI systems in our everyday lives via smartphones. But what exactly is AI and how does it work? What distinguishes weak AI from strong AI? And what challenges are associated with the use of self-learning computer programs? Volker Tresp answers these questions in an interview. He is a professor at Ludwig-Maximilians-Universität Munich with a research focus on machine learning in information networks and a member of Plattform Lernende Systeme.

Self-learning systems can also be used contrary to their actual purpose and harm society and the economy. A current white paper from Plattform Lernende Systeme shows how AI systems can be protected. The experts use realistic application scenarios to illustrate possible challenges and specify concrete precautions to prevent misuse. Their conclusion: From the development to the disposal of an AI system, potential gateways for a malicious application can and must be closed. In addition to technical and organizational precautions, this also includes a responsible approach to AI in society.

Artificial Intelligence (AI) can contribute to the success of the energy transition, low-emission mobility or environmentally friendly agriculture: the use of the technology opens up new business models for companies that support sustainable development in the economy and society. However, the energy consumption in the use and development of AI applications is often high. Markus Schnell, Senior Director Software and Tools at Infineon Technologies AG and member of the Business Model Innovations working group, explains how companies can use AI to make their operations sustainable and how the ecological footprint of AI systems themselves can be reduced.

Artificial Intelligence (AI) can make an important contribution to improving medicine and care. Where the greatest potentials and hurdles lie for the use of AI in healthcare and what we need to do to use what is technically possible in a responsible way were discussed by AI experts at the third webtalk in the "AI.Impulse" series of Plattform Lernende Systeme. The event, which took place on 16 December at the Urania Berlin and virtually, was supported by Berlin Partner and the Cluster Gesundheitswirtschaft Berlin-Brandenburg.

Artificial Intelligence (AI) will change our working world - in the factory as well as in the office. AI-based software and robots can support people in monotonous and physically demanding tasks. Central to successful cooperation with AI systems is the qualification of employees. Wilhelm Bauer, Director of the Fraunhofer Institute for Industrial Engineering IAO and Co-Head of the Future of Work and Human-Machine Interaction working group of Plattform Lernende Systeme, explains which skills are important in the AI age and how companies can qualify their employees to work with AI systems.

To ensure that safe applications are used, the European Commission wants to regulate AI systems according to their risks. Experts from Plattform Lernende Systeme consider this approach necessary, but not sufficient to create trustworthy AI systems. They demand that the concrete application context of a system must be taken into account, as well as complaint bodies and clear liability rules. In a current white paper, they name additional criteria to be able to assess the risk potential of an AI system and show how responsibility for damage should be divided between actors.

Artificial Intelligence (AI) will change the everyday working lives of many employees. The division of labor between humans and technology requires new skills. The central challenge for the successful introduction of AI systems in companies is therefore the further training of employees. In a recent white paper, experts from Plattform Lernende Systeme analyze examples of the competencies required for various job profiles and how these can be developed in six task-oriented steps.

Social bots spreading false information on social networks, deep fakes or data abuse for voter manipulation - at the latest since the last presidential election in the USA, there has been discussion about the influence of artificial intelligence (AI) on opinion formation in the run-up to democratic elections. In this context, AI systems can also help detect so-called fake news on social media platforms or give people individual election recommendations according to their political attitudes. Political scientist Prof. Dr. Christoph Bieber explains what challenges and potential AI systems hold for democratic elections. He is head of the AI Governance project at the University of Duisburg-Essen and a member of the "IT Security, Privacy, Legal and Ethical Framework" working group of Plattform Lernende Systeme.

In the coming years, Artificial Intelligence (AI) will become a driver of the economy and thus an important location factor – also for Germany. The Map on AI of Plattform Lernende Systeme – Germany’s Platform for Artificial Intelligence shows where AI solutions are already being used, which institutes are conducting research into basic principles and applications, and which universities are training the next generation of AI experts. The continuously updated website is now available in its entirety in English.

Data form the basis of an increasingly digitally networked society. The ability to use them to generate insights for science and beneficial applications for society and business is becoming a key competence. The Gesellschaft für Informatik e.V. (GI), in collaboration with Plattform Lernende Systeme, has published recommendations for the design of Data Science master's degree programs. They are intended to serve as a basis for the accreditation of corresponding study programs.

Artificial Intelligence (AI) is a key technology for the future competitiveness of companies of all sizes. However, German SMEs have hardly taken advantage of these opportunities so far. In a recent publication, Plattform Lernende Systeme shows the potential of AI using successful practical examples from SMEs and provides companies with concrete implementation plans for the introduction of intelligent systems.

Intelligent apps for route planning, for example, will enable individual, time-saving and thus resource-saving travel in the future. However, such travel assistants require large amounts of data, including sensitive personal data - a challenge for data protection. How data security and data management can be guaranteed for AI-based travel assistants is shown in the new white paper by Plattform Lernende Systeme.

Artificial Intelligence (AI) is the next stage of digitalization and can support humans as an effective tool. In numerous industries, AI-based applications are already in use or are at an advanced project stage. The continuously expanded AI map of Plattform Lernende Systeme shows how diverse the application fields of self-learning software systems are and what added value they promise. More than 1,000 AI applications from Germany are now listed there.

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.