Buch, Englisch, 278 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 567 g
A Field Guide for Stakeholders
Buch, Englisch, 278 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 567 g
ISBN: 978-1-032-82054-5
Verlag: CRC Press
Zielgruppe
General, Professional Practice & Development, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Geisteswissenschaften Philosophie Angewandte Ethik & Soziale Verantwortung Wissenschaftsethik, Technikethik
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
Weitere Infos & Material
Introduction to Artificial Intelligence. The Benefits of Artificial Intelligence (AI). Machine Learning and Automation. Implementing Generative AI in Your Business. Technology and Ethics. The Technology Lifecycle. Innovation and Product Management. IT Systems and Management Information (MI). Individual Liberties. Autonomy, Authenticity, and Identity. Playing God And Hubris. The Impact on Society. The Power of AI in Financial Services. Cybersecurity Considerations with AI. Ethical Concerns with Artificial Intelligence. Disinformation and Manipulation. AI and Mass Surveillance. Inequality and Concentration of Power. Protecting Privacy and Human Rights. Human Rights, Freedom of Speech, and Democracy. Human Psychology, Relationships, and Personhood. Safeguarding Safety, Trust, and Social Justice. Superintelligence: An Existential Risk. AI Alignment. AI as a Potential Lifeform. Exploring AI in Virtual Reality (VR) and Simulation. AI Governance. Risk Management. Standards and Regulation. National and International Strategies. The Emergence of AI Ethics. Prioritising Fairness in AI. Accountability. The Need for Transparency. Interpretability. Human Factors: The Need for Human-Centred Approach. Conclusion: The Need for Better AI Governance.