This book takes us on an in-depth exploration of the evolving intersection between artificial intelligence and ethical considerations. As AI applications extend far beyond technology giants, a robust ethical debate unfolds, addressing issues of discrimination, democracy, and due process. Tech startups, often lacking corporate governance and legal expertise, become central figures in this narrative, facing unique uncertainties. Grounded in applied ethics, this collaborative work between experts from practice and academia investigates responsible tech entrepreneurship, also helping lay practical foundations for startups. Providing diagnostic tools and frameworks, the book is tailored for academics, researchers, and professionals navigating the ethical dimensions of AI in organizational settings.

Going beyond managerial insights, the narrative takes a philosophical turn, contemplating not just the capabilities but the ethical responsibilities of AI. Rooted in effective altruism and conceptual analyses, this book serves as a critical resource for those seeking informed, ethical decision-making in the rapidly evolving technological landscape.

Equips startups with foundational tools and frameworks for ethical decision-making in AI and responsible innovation Explores real-world challenges in implementing responsible AI for startups Engages in profound philosophical discussions, guiding readers to shape a virtuous, ethical path for AI in society

Autorentext

Christian Hugo Hoffmann is the Managing Director and Founder of Hoffmann Economics, an investment and investment advisory boutique with a focus on Venture Capital. He earned his Ph.D. in Management from the University of St. Gallen (Switzerland) and previously served as an Assistant Professor of Finance at the University of Liechtenstein. Additionally, he is pursuing a second PhD thesis on the Ethics of Artificial Intelligence. Apart from his academic passion for Artificial Intelligence (AI), Christian is a dedicated tech entrepreneur, having founded three software start-ups in Germany, Switzerland, and Malawi. He has also held roles as Deputy Director and Head of AI at the Swiss Fintech Innovation Lab in Zurich, Director of Startup Grind Geneva, and remains actively involved as a start-up coach, judge, and mentor in various programs, including MassChallenge, Vroom, and Kickstart Accelerator.

Deepak Bansal is the Founder and CEO of MQ Learning, a Swiss-based EduQua-certified academy focused on teaching humanistic skills in the digital age. With over 15 years of corporate experience, including executive roles at Accenture, Deutsche Post DHL, and Zurich Insurance (COO, Head AI & Robotics), Deepak brings a wealth of expertise to his leadership. He holds a Masters in Technology from the Indian Institute of Management (IIM) Mumbai, an MBA from the University of St Gallen, Switzerland, and an MA in Philosophy from the California Institute of Integral Studies (CIIS), California, USA. In addition to his role at MQ Learning, Deepak is a guest lecturer at Zurich University of Applied Sciences, specializing in 'Digital Ethics by Design.' His unique blend of corporate acumen, academic insight, and profound understanding of technology's ethical dimensions positions him as a thought leader in the field. Deepak also makes substantial contributions to digital ethics as a member of the certification committee for the Digital Trust Label, an initiative by the Swiss Digital Initiative.

Inhalt

Part 1: In Practise.- AI Ethics in Practise.- Auditing for Digital Trust.- Implementing Responsible and Ethical Artificial Intelligence in India.- Critical AI Literacies as a Driver of Ethics Education.- AI and language interpreting.- Ethical Dilemmas and Human Factors in the Application of AI in Cybersecurity.- Future of Work, Bridging AI Human Transformation.- The Philosophical Implications of Artificial Intelligence.- The Emergence of Trust and Ethics.- Part 2: Philosophy.- Philosophy for practitioners?.- World Literacy and Digital Literacy: Educating Tomorrow's Responsible Tech Leaders.- Ethical aspects of generative AI in medicine.- Addressing the paradox of using AI in ethics and compliance through a checklist-based solution.- Balancing Ethical Innovation: The Role of Synthetic Data in Financial Regulation.- Towards a Constructive Ethics of Artificial Intelligence in the Age of Surveillance Capitalism.- The Wellbeing Compass: Navigating towards a Humanity-centered Tech Future.- Ethical by Design Business Strategies.