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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.

Artificial Intelligence (AI) will change the everyday working lives of many employees. The use of AI systems in companies offers many opportunities for both employees and companies. At the same time, the introduction of AI poses challenges for all those involved - such as the handling of personal data or the humane design of working conditions. A current white paper of Plattform Lernende Systeme shows by means of concrete solutions and practical examples, how companies introduce AI systems both in terms of employees and economic success and how change processes can be successful.

Artificial Intelligence (AI) is considered a key technology of the future and will increasingly become part of industrial and private software applications. Closely linked to the development of AI systems is the preparation and analysis of existing data, called data science. This is a future-oriented field of work for high school graduates. The interactive AI map of Plattform Lernende Systeme now shows at which universities in Germany they can find courses of study that focus on AI and data science or only deal with some of them.

The current corona crisis is accelerating digitisation in the economy and society - and thus also the use of artificial intelligence (AI). However, the pandemic is also revealing the weaknesses of digitisation in Europe: where data as a basis for AI is lacking, where bottlenecks in data processing become apparent, the technology cannot develop its full potential. The three-day European Big Data Value Forum 2020, which opened yesterday as part of the German EU Council Presidency, will focus on how secure and high-performance data rooms and infrastructures can be realised across Europe and how successful, trustworthy AI can be created from Europe on this basis. Plattform Lernende Systeme is a partner of this year's forum.

Artificial Intelligence can make our everyday life easier and help to solve global challenges. To what extent AI-based systems are actually used depends largely on whether people trust the technology. Ethical values and principles play a central role here. Plattform Lernende Systeme has now written a guideline and specifies requirements for responsible AI development and application in companies.

The digital age is changing production processes and value chains worldwide - and thus poses great challenges for companies. Small and medium-sized enterprises (SMEs) in particular are often unaware of the data treasures they have at their disposal in their operations - and how these can be harnessed using methods of Artificial Intelligence (AI) and machine learning. Plattform Lernende Systeme shows small and medium-sized enterprises with a special web offer (in German) how they can benefit from the use of Artificial Intelligence and where they can find information, public funding and practical support.

Which AI applications are already in use in Germany today? Where is research being conducted into the fundamentals and applications of Artificial Intelligence? And who supports companies in the introduction of AI in their operations? The continuously expanding Map on AI of Plattform Lernende Systeme provides an overview of AI applications, research institutions and transfer centres in Germany - now also in an English version.

Companies must enrich their physical products with intelligent services and change their business models accordingly in order to remain internationally competitive. This requires new forms of cooperation in so-called digital value-added networks. Svenja Falk, Managing Director at Accenture Research, explains the advantages of these networks and why data- and AI-driven applications are also interesting for SMEs.

In the coming years, Artificial Intelligence (AI) will fundamentally change both entrepreneurial business models and many jobs - in large corporations as well as in medium-sized companies. This is because the intelligent linking of corporate data will enable new products and services to be developed and processes to be optimised. Learning assistance systems can support employees individually in their work. Where we stand on the way to an AI-supported economy and what challenges this poses for entrepreneurs and employees was discussed by experts from Plattform Lernende Systeme in two web-talks with virtual guests on 6 July.

Who protects our data? Who decides what is private and whether there is a right to data ownership? These questions were discussed by Claudia Eckert from the Technical University of Munich and Jörn Müller-Quade from the Karlsruhe Institute of Technology (KIT) - both members of Plattform Lernende Systeme - on June 30th at acatech on Tuesday via Zoom with the guests who were connected. The event was held for the first time together with vhs.wissen live and the Bavarian Adult Education Association.

Logistics is a highly complex and networked system, which is today still mostly optimized manually, both within and across companies - and is quickly impaired in the event of unforeseen events. Sören Kerner, head of the Automation and Embedded Systems department at the Fraunhofer Institute for Material Flow and Logistics IML, explains how logistics processes can be optimized with the help of AI and what obstacles currently stand in the way.

The corona pandemic poses unprecedented challenges for the economy and society. Solutions and strategies are needed to overcome the current crisis and to create a "New Normal" in the post-crisis phase. The Steering Committee of Plattform Lernende Systeme discussed the potential of digitisation and Artificial Intelligence (AI) in its seventh session, which was held as a web conference. Further topics were the current work priorities of the platform.

Artificial Intelligence methods can contribute in many ways to meeting current challenges of the corona pandemic. Prof. Dr. Frank Kirchner, head of the Robotics Innovation Center at the Bremen site of the German Research Center for Artificial Intelligence (DFKI), provides an overview of potential applications, practical limitations and important research priorities. 

How can Europe move forward in the global race for technological leadership in Artificial Intelligence? Katharina Morik, Professor for Artificial Intelligence at the TU Dortmund University and member of the Plattform Lernende Systeme, coordinates the cooperation of the AI competence centres in Germany and France on the German side. In our interview, she explains why European countries need to join forces in AI research.

Digitisation is not an end in itself for SMEs, but a prerequisite for them to operate successfully in an increasingly networked economy. Many small and medium-sized companies still lack clear ideas about how they should approach the future topic of Artificial Intelligence for themselves. Susanne Boll-Westermann from the University of Oldenburg explains which questions they should ask themselves and why networking with other players is so important.

When the German Federal Government published its National Strategy for AI, it provided a framework for establishing the international competitiveness of Artificial Intelligence made in Germany. To coincide with this, Germany’s federal states are also driving forward the development and application of AI. Putting the knowledge gained from research into practice is a vital factor in commercial success. The AI map created by Plattform Lernende Systeme extends this initiative’s comprehensive overview of AI applications and research institutions, indicating the federal states’ strategic goals and the locations where regional transfer hubs are overseeing implementation.

Self-learning systems will penetrate our everyday life in the coming years, and skilled workers are already desperately needed. Reason enough for young people to think about doing "something with AI" in their careers. Our member Elsa A. explains why the topic is fascinating and what is important in AI development. Kirchner on the occasion of the nationwide Girl's Day.

Cancer patients should be able to benefit more swiftly from research findings. This is the aim behind the National Decade Against Cancer, which was recently launched by the German Federal Ministry of Education and Research (BMBF). In its latest application scenario, Plattform Lernende Systeme demonstrates how Artificial Intelligence (AI) will be able to improve the recovery chances of cancer patients in the near future.

Germany’s federal government today finalised its Artificial Intelligence (AI) strategy. The goal is to establish “AI made in Germany” as a seal of quality for conscientious AI and make up ground lost to international competitors. Plattform Lernende Systeme – Germany’s platform for Artificial Intelligence – is to contribute to broad societal dialogue on AI.

Dieter Spath, President of acatech – the German National Academy of Science and Engineering, is stepping down from his position as Co-Chair of Plattform Lernende Systeme, to be succeeded by Karl-Heinz Streibich, who has been at the helm of the Academy alongside Spath since May 2018.

When it comes to artificial intelligence (AI) Germany has very good prospects on the international stage. If it can quickly turn its well-established head start in research into applications focusing on practical uses, Germany can take the lead in the AI race. This was the message that Plattform Lernende Systeme, Germany’s platform for artificial intelligence, delivered at this year’s CEBIT.

Germany is leading the way when it comes to researching and developing artificial intelligence (AI). If this expertise can be put to use quickly, Germany can secure global technological leadership and drive forward the responsible use of self-learning systems both at home and abroad.

Self-learning systems are the key to meeting the increasing requirements of productivity in an ageing society and to preserving prosperity, says Mr Dieter Spath in conclusion of his presentation on 22 January at the Munich School of Philosophy.

Artificial intelligence (AI) and self-learning systems will become the drivers of industry in the coming years and will at the same time change many realms of society. Fraunhofer-Gesellschaft, in cooperation with Germany’s digital association Bitkom, invited stakeholders to Artificial Intelligence Day, a networking event held in Berlin on 29 November.

The Federal Ministry for Education and Research (BMBF) is reinforcing research on artificial intelligence and launching the forward-looking project “Learning Systems”. As a first step, a new expert platform is being established in order to improve the collaboration between research and application as well as clarify how learning systems can be useful for humans.