1st Edition
Converging Minds The Creative Potential of Collaborative AI
This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted, and fine-tuned by the authors.
This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world.
Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists, and engineers in the fields of generative AI and deep learning.
1. AI in Research, Innovation and Education. 2. The Core and Ecosystem of Generative AI. 3. Collaborative AI and the Future of Work. 4. The Social and Political Implications of Collaborative AI. 5. The Future of Collaborative AI. 6. Case Study 1: Story of a Human Unicorn. 7. Case Study 2: Howe We Wrote This Book 8. Epilogue.
Biography
Aleksandra Przegalinska is an Associate Professor and Vice-President of Kozminski University, responsible for international relations and Ethics and Social Responsibility (ESR) as well as Senior Research Associate at the Harvard Labour and Worklife Program. Aleksandra is the Head of the Human-Machine Interaction Research Center at Kozminski University and the Leader of the AI in Management Program. Until recently, she conducted postdoctoral research at the Center for Collective Intelligence at the Massachusetts Institute of Technology in Boston. She graduated from The New School for Social Research in New York. She is the co-author of Collaborative Society (The MIT Press) and Strategizing AI in Business and Education (Cambridge University Press) published together with Dariusz Jemielniak.
Tamilla Triantoro is an Associate Professor in the School of Business at Quinnipiac University. She has directed graduate and undergraduate programs in Business Analytics at Quinnipiac University and the University of Connecticut. Her expertise includes artificial intelligence, human-AI collaboration, and the future of work. She has spoken about these topics in various parts of the world and presented her work on six continents. With a PhD from the City University of New York, where she researched online user behavior, Dr. Triantoro brings a deep understanding of the human element to her work.
