Society and Innovation
Artificial intelligence (AI) is already being used in many fields, and a wide range of sectors and disciplines are using the latest methods to improve their processes, products and services. Depending on the scenario, these applications utilise the informational, cognitive, linguistic and psychological aspects of AI. Smart systems are used in applications such as search engines, translation tools, manufacturing processes, automated decision making and medical technology.
AI is a field within computer science that focuses on the automation of intelligent behaviour and especially on machine learning. Machine learning has been the subject of research for over fifty years but despite its long history, it is only in recent years that significant breakthrough has been seen in this field. This breakthrough was largely due to the massive increase in the availability of machine-readable data (big data) and the exponential availability of computing capacity.
AI is one of the key future technologies. It will fundamentally change commercial value-creation processes as well as large swathes of our society. There are two main factors that will affect the success of Germany’s economy with regard to AI. Firstly, AI technologies must be rapidly integrated into businesses across all value chains. Secondly, research findings from Germany’s AI research landscape, which is in an exceptionally good position in some respects, must be quickly transferred into the country’s businesses. In order to meet the comprehensive innovation policy goals set out in Germany’s AI strategy, attention must also be given to non-technological aspects that are closely associated with AI research and development. These aspects include the legal and regulatory framework conditions such as those relating to the use of personal data, as well as norms and guidelines and ethical questions, such as the level of acceptance of AI technologies.
For several years, our experts from a broad range of disciplines have been working on every aspect of artificial intelligence, machine learning and the ICT (information and communications technology) on which it is built. We help governmental, research and development bodies to create the framework conditions that pave the way for the successful implementation of AI in the public and private sectors. We provide decision-makers at all levels with advice concerning the intensifying challenges in the areas of IT security, explainable and transparent AI algorithms, reliable and efficient electronics systems for AI, data sovereignty, the legal aspects of AI use and the development of successful AI-based business models.
We also assist with planning a suitable education landscape that gives people in all walks of life the skills they need to work well with the technologies and applications brought about by AI.
To do this we initiate dialogues and strategic processes in order to offer solutions to crucial innovation policy issues. Through studies and concomitant research, we analyse the prerequisites for the use of AI and the consequences of its use. In this way, we improve the foundations required for making decisions about tomorrow’s AI-based public and private sector, the associated ethical and legal consequences and the economic opportunities and implications.