In the second part of our discussion on the webinar we explore key measures that governments can take to ensure the safety of AI. By addressing these aspects, we find that when governments contribute to fostering an AI landscape, it not only thrives on innovation but also upholds ethical principles, accountability, and global cooperation.

Navigating the delicate balance between fostering innovation and addressing potential risks, governments play a crucial role in shaping the responsible development and deployment of AI technologies. Listen with us as we discuss the importance of the role governments play in the AI industry.

Explore the intersection of AI, governance, and global impact through the insights of leading experts in our recent webinar. From the safety of AI to the imperative need for governance and regulation, our distinguished panel delved into crucial topics shaping the future.

Some fears and misgivings over AI are justified, but many are blown out of all proportion, and thus an accurate understanding of its true risk is elusive in the minds of most. AI expert Prof Patrick Glauner of Germany’s Deggendorf Institute of Technology sets the record straight.

Fanfare abounds about quantum computing, but this is increasingly justified, especially as QC and AI integrate ever more closely. AI expert Prof Patrick Glauner of Germany’s Deggendorf Institute of Technology describes the current dynamic and forecasts its future course.

Industry and applied research must be keenly aware of how to devise a strategy to shield their innovations, and this indeed applies to AI. AI expert Prof Patrick Glauner sets up the high hurdles those seeking to patent inventions that include AI or are generated by it must clear.

Germany came late to the European colonial race but, once united in 1867, sought to catch up, convinced of the superior genius of its Volk. Two world wars on, the country again finds itself pitted against others in a new struggle for the top. In a Bavarian town near where two old German-speaking empires met, AI Prof Patrick Glauner explores the Zeitgeist of this new Superintelligenz on day 17 of The Yuan’s intelligent discovery voyage.

GPT-4 is promising, but further scrutiny is needed. AI Prof Patrick Glauner presents GPT-4’s key features, puts it into context, and talks the regulatory challenges Europe must tackle in dealing with generative AI models without choking innovation or yielding to the US and China.

Europe rules in setting up a pioneering legal framework governing the use of AI. AI Prof Patrick Glauner highlights key developments in Europe - R&D, innovation, startups, and political and regulatory initiatives and their future portent.

Given everything that has happened in 2022, both in AI and in other domains worldwide, there will be plenty in store for AI in 2023, from military applications and quantum computing to regulatory frameworks and greater energy efficiency. As a recession looms and many Big Tech firms continue to lay off workers, AI startups stand to benefit from an influx of talent onto the market, raising the possibility that 2023 will be the year when significant future AI players are born.

Europe is a top AI player but is also notorious for regulation. This third episode of the Delta Dialog talks Europe’s open medical data and AI. The tech is new, so rules and policy lag. The European Health Data Space, Data Act, GDPR and new AI Act thus all demand major attention.

Conventional wisdom often holds that huge amounts of data are necessary to train models and algorithms to make them more accurate. However, this is not always feasible. Sometimes one must figure out how to learn and do the best one can from data that are available, even if they are not ideal.

The medical applications of virtual reality and augmented reality have received growing attention in recent years, enabling automated medical imaging and reducing costs and time spent.

AI professor and entrepreneur Patrick Glauner takes a look at why more data is not always better, suggesting addressing biases and other underlying shortcomings is more important than simply broadening sample sizes or increasing the amount of data analyzed.

AI is increasingly being applied to the field of mechanical engineering, and now its applications go beyond simply predicting when and how problems might occur. Patrick Glauner, AI professor and consultant, takes a look at current developments and what the near future might hold.

Due to the emergence of AI and the ever more key role it plays, lawmakers argue that there is an urgency of crafting a comprehensive regulatory framework for it. Europe seeks to pioneer this area via its AI Act, but will need inbuilt flexibility and adaptability, or it risks doing more harm than good.

AI has started to disrupt healthcare by providing better patient care while also cutting waiting times and costs. Prof Patrick Glauner expounds on the importance of open medical data in modern AI-based healthcare, the European Health Data Space and the Data Act, as well as various regulatory challenges as he wades into the fray in the debate in The Yuan’s Open Medical Data series.

Prof Patrick Glauner takes a close look at the ranks of firms that have invested in AI and reveals why some 80 percent of them fail. He analyzes what companies should be doing to use AI more effectively.

Prof Patrick Glauner acknowledges that one of the greatest challenges facing mankind is climate change, and discusses the technical innovations that will be pivotal in helping to cut and avoid emissions, while also making sure that such new technologies do not contribute to climate change.

Electricity theft is the criminal act of using electrical power without paying compensation. Its global cost is some US$96 billion every year. Help is at hand, however, in the shape of artificial intelligence, as Prof Patrick Glauner investigates.

Prof Patrick Glauner reveals the major gap between how artificial intelligence is taught at universities and real-world requirements in industry, how universities should enhance the employability of students, and how German Universities of Applied Sciences collaborate with industry to prepare students for the challenges they will face upon graduation.

Quantum computing is a rapidly-emerging technology that harnesses the laws of quantum mechanics to solve problems far too complex for classical computers. It is predicted to become even faster and work out even more sophisticated scientific equations in future. Prof. Dr Patrick Glauner acknowledges the promise in quantum computing but believes far too many obstacles still remain to overcome before it takes the place of conventional computers.

The European Commission published an AI Act to create a legal framework for artificial intelligence within the European Union. Many believe the document is too broad, will lead to overregulation, and lacks a clear strategy.