Augmented - Praiority to Enhance Human Judgment Through Data and Ai

In a world where artificial intelligence is reshaping industries, how can we ensure that AI enhances human skills rather than replacing them? This book offers readers an accessible and insightful guide to the positive potential of AI for human augmentation.Drawing from consultations with 150 AI experts from across 50 countries, Augmented introduces the concept of "prAIority", which connects three essential pillars: data, AI systems, and human judgment. It examines how data fuels innovation, the intricacies of designing and refining AI systems, and the critical role of human expertise in harnessing AI's strengths. Breaking down complex ideas, this book equips readers with the knowledge to understand how AI can be integrated into their decision-making processes, ultimately empowering them to achieve better outcomes in diverse fields such as healthcare, design, and business.With a focus throughout on human-AI collaboration rather than automation and on seamless integration-for smarter, faster decisions, and innovation-this is a must-read book for professionals looking to enhance their skills and stay ahead in the AI-driven future as well as curious beginners seeking a clear framework.

Produktdetails

• Autoren: Giulio Toscani
• Verlag: Taylor & Francis Ltd.
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 01.05.2025
• EAN: 9781032875347
• ISBN: 978-1-0-3287534-7
• Seiten: 208
• Themen: Geisteswissenschaften, Kunst, Musik > Kunst > Innenarchitektur, Design; Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Artificial Intelligence, Product Design, COMPUTERS / User Interfaces, DESIGN / Product, COMPUTERS / Programming / Mobile Devices, Human-Computer Interaction, Research & development management, Probability & statistics, Ethical & social aspects of IT, Engineering: general, Legal aspects of IT, Automatic control engineering, Human–computer interaction, Probability and statistics, COMPUTERS / Data Science / Machine Learning, Research and development management, Digital and information technologies: Legal aspects, Ergonomics