Martin Hilbert Speaking Topics

• THE ERA OF AI AGENTS: PROMPTING THE JOURNEY AND GENERATING THE FUTURE

  Ever dreamed of building your personalized AI to get really useful things done—and all without writing a single line of code? We explore the burgeoning realm of AI agents, showcasing how these tools are not just reshaping industries but revolutionizing our very approach to problem-solving and productivity.

  Drawing on extensive research and practical applications, the talk focuses on the real-world application of agentic AI to automate tasks, adapt decisions, and solve complex problems across various domains—from personal projects to professional endeavors. The journey with AI agents starts with foundational models like ChatGPT, Gemini, and Claude, which we personalize, contextualize with real-world tools, and then orchestrate into entire teams of AI agents. These multi-agent systems can tackle the hard problems that need to be resolved for reliable workflows, including hallucinations and robustness. The result mirrors the complexity of managing a company and a team of diverse AI agents. This leads to ethical considerations and the societal impacts of AI deployment, addressing valid concerns and common misconceptions, ranging from the fear of job displacement to threats to democracy.

  AI agents are not merely tools but partners in crafting our future. This keynote will empower you to harness these agents, enhancing your productivity and redefining your professional and personal landscapes.

  Whether you are a seasoned AI enthusiast or a newcomer to this field, you will leave with a profound understanding of how to navigate and shape the era of AI agents.

• AI UNLEASHED: NAVIGATING BOUNDLESS WEALTH & EXISTENTIAL RISKS — CHOOSING OUR FUTURE

  The 70-year-long AI winter erupted into a burgeoning spring when, in 2023, ChatGPT became the fastest-spreading invention in history. Not only have generative AIs passed the historic Turing test of intelligence, but they are also taking our digital reality by storm, adding a potent ingredient to a cauldron of innovation already spiced up with blockchain and the 3D metaverse. The complexity of these modern AIs is staggering, and the detected productivity gains are enormous (over 50% for many intellectual tasks), while their emotional sensitivity surpasses that of average humans.

  Generative AIs are the last manifestation of the machine learning paradigm, which has automated knowledge creation at the click of a button. This development once again throws Homo sapiens into an identity crisis, as our species has traditionally defined itself by its previously held monopoly on the knowledge process. As knowledge automation finds its way into various sectors, from education to politics, this talk will dive into emerging opportunities and challenges. How can you position yourself to be part of this revolution? What could go wrong?

• BEYOND DATA: HOW DIGITAL TWINS, AI & BLOCKCHAIN CREATE THE METAVERSE

  All of the world's most valuable companies call themselves ""artificial intelligence"" companies, exclusively. The role of algorithmic knowledge is not a vision of the future, but has been the dominant economic reality for years.

  The economic value that these companies create is to create 'digital twins' of economic processes and entire industries. Often, they take over existing industries by algorithmizing contained knowledge. Yes, it's still valuable to sell retail products, drive a taxi, rent a hotel bed, and write a song, but the added value consists of the knowledge created by Amazon, Uber, AirBnB, and Spotify in their digital twins of those industries. Its digital process models provide the playing field to pursue process optimization, resulting in more efficient, effective, and safer processes. Added value is created by maintaining a digital platform that contains knowledge of economic processes.

  In this talk, we begin with a review of the common features of the knowledge economy paradigm and then ask about the steps needed to implement this paradigm in the mining sector. We discussed the ubiquitous architectural feature of a ""data star"" at the information level and the ""master algorithm"" at the knowledge level. Empirical machine learning and theoretical computer simulations are the two main tools for optimizing knowledge about real-world processes in the field. We discuss the practical implications for a company's digital transformation.

• THE NEXT PHASE OF THE DIGITAL AGE: THE BENEFITS OF AUTOMATED KNOWLEDGE AND THE DANGERS OF DIGITAL MENTAL EXTENSIONS

  The global pandemic has accelerated the current trend towards greater digitalization. Building on our established information and communication infrastructure, we managed our schools, commerce and online businesses during global lockdowns. As a next step beyond the digitization of information, many companies algorithmized knowledge processes, which goes a step further, from digital information to automated knowledge.

  We'll review these recent trends in the business world and discuss the power of automated knowledge platforms, based on machine learning. This forces us to review the limitations of this paradigm. There are systemic risks involved in over-reliance on artificial intelligence, not only ethical in nature, but also for economic gain. The knowledge economy requires a fusion of human intelligence and machine intelligence, of human vision and machine execution. Unfortunately, during this current phase, we often confuse means with ends. This, naturally, leads us to discuss the power that our artificial solutions already exert over us humans.

  Misinformation and fake news, addiction and mental health issues, political polarization, and commercial manipulation are all consequences of a growing imbalance of control between the artificial and the human. In the end, these technologies are extensions of the human mind. Maintaining control over global information and knowledge structures will also require the human mind to evolve to a new level. We discuss the implications.

Read More +