Christian Hugo Hoffmann – författare

Providing diagnostic tools and frameworks, the book is tailored for academics, researchers, and professionals navigating the ethical dimensions of AI in organizational settings.

What does it mean to build artificial intelligence (AI) and how can we achieve accountability for its impact?

Recent findings about the capabilities of smart animals such as corvids or octopi and novel types of artificial intelligence (AI), from social robots to cognitive assistants, are provoking the demand for new answers for meaningful comparison with other kinds of intelligence. This book fills this need by proposing a universal theory of intelligence which is based on causal learning as the central theme of intelligence. The goal is not just to describe, but mainly to explain queries like why one kind of intelligence is more intelligent than another, whatsoever the intelligence. Shiny terms like "strong AI," "superintelligence," "singularity" or "artificial general intelligence" that have been coined by a Babylonian confusion of tongues are clarified on the way.

Recent findings about the capabilities of smart animals such as corvids or octopi and novel types of artificial intelligence (AI), from social robots to cognitive assistants, are provoking the demand for new answers for meaningful comparison with other kinds of intelligence. This book fills this need by proposing a universal theory of intelligence which is based on causal learning as the central theme of intelligence. The goal is not just to describe, but mainly to explain queries like why one kind of intelligence is more intelligent than another, whatsoever the intelligence. Shiny terms like "strong AI," "superintelligence," "singularity" or "artificial general intelligence" that have been coined by a Babylonian confusion of tongues are clarified on the way.

In an era increasingly defined by rapid technological evolution and the shifting locus of innovation to emerging markets – often underpinned by industry policies supporting indigenous innovation – understanding the dynamics of successful technology clusters is paramount.Examining highly relevant and popular topics such as startups, entrepreneurship, the role of governance and innovation through a range of groundbreaking and unique contributions, this book seeks to uncover the intricacies of thriving clusters worldwide, distilling lessons and best practices:packed with practical and illustrative examples as well as exclusive case studies to provide hands-on solutions to real-world challenges for fostering innovations.contributions by world experts from different fields from academia, the public sector and business practice.equips businesses with foundational tools and frameworks for developing responsible innovations in an interconnected world.By examining the experiences of both established hubs like Silicon Valley and burgeoning ecosystems in emerging markets, it provides practical insights for fostering innovation, economic growth, and societal development in the 21st century, empowering a broad audience of readers including policymakers, entrepreneurs, scholars, and investors.

As artificial intelligence reshapes everyday lives, one question becomes unavoidable: What does good leadership look like when technology drives the decision-making process? The Moral AI Leader offers a clear, confident, and refreshingly practical answer. Drawing on their experience as entrepreneurs, scientists, and advisors, the authors show why the future belongs to those who use technology with judgment, courage, and moral clarity.Across a unique set of highly accessible tips, the authors explore how leaders can harness AI without surrendering responsibility, preserve human relationships in a digital world, build trust through transparency, and turn regulation into a driver of innovation. Rich with real anecdotes, The Moral AI Leader blends ethical insight with insightful hands-on guidance for managers, founders, and decision-makers navigating this era of profound technological change.

Venture capital fuels innovation and is particularly vital in a rapidly changing world.Switzerland has long been a center for the world’s financial developments and is at theforefront of venture capitalism. But what’s the secret of Swiss success and how is thatreflected – or not – in the world’s other leading business regions? This compelling newbook assembles an enviable who’s who of the venture capital scene to examine whatattracts investors and partners to the Swiss region from all corners of the world – andhow the latest innovations are playing out on a global scale.Each chapter of this groundbreaking anthology takes its inspiration from the evolutionof startups, interpreting venture capital across a number of key fundraising themes,from the contributions of so-called business angels to equity investments from banks.The book is arranged across the life cycle of a fund, with the main focus on sourcing,investing, managing portfolio companies and exit. It integrates perspectives fromkey players in the global industry, across all stages of the process, and many types ofventure capital firms. The aim is to provide the one and only comprehensive book onthe venture capital industry – offering an invaluable glimpse into the lessons everyonecan derive from the innovations of the Swiss approach and how they have been successfullyapplied internationally.Venture capital doesn’t get the coverage it should given its global importance for innovationand this vital collection provides not only a deep dive into what characterizesa thriving venture capital scene, but provides exclusive insights into and case studiesof the Swiss role model that others can learn from.

Christian Hugo Hoffmann undermines the citadel of risk assessment and management, arguing that classical probability theory is not an adequate foundation for modeling systemic and extreme risk in complex financial systems. He proposes a new class of models which focus on the knowledge dimension by precisely describing market participants’ own positions and their propensity to react to outside changes. The author closes his thesis by a synthetical reflection on methods and elaborates on the meaning of decision-making competency in a risk management context in banking. By choosing this poly-dimensional approach, the purpose of his work is to explore shortcomings of risk management approaches of financial institutions and to point out how they might be overcome.

This book embarks on a thought-provoking journey that seeks to illuminate the intricate connections between the dynamic realms of AI, Entrepreneurship and Risk Management.

Beiträge von renommierten Expert*innen untersuchen auf verständliche Weise kritisch die Geschichte der Künstlichen Intelligenz (KI), ihre aktuellen und künftigen Fähigkeiten, Einschränkungen sowie ethischen Implikationen und Bedenken.Es handelt sich um ein Buch von Praktizierenden für Praktizierende, gezeichnet von echten Insidermeinungen, die mit einer ausgewogenen Perspektive zu Erfolgen, Hoffnungen, Ängsten und Debatten über KI schreiben. Dieses Buch ist eine großartige Ressource, die langjährige Erfahrung von Branchenkundigen und Branchenführenden beinhaltet. Die Herausgeber widmen sich Anwendungspotenzial und -beispielen mit Fokus auf Relevanz und breite Umsetzbarkeit, entlang der Wertschöpfungskette und sich formender Ökosysteme.