Aleksandra Przegalinska – författare

This Element proposes a clear and up-to-date description of the state of artificial intelligence today, not only in terms of business processes and strategies, but also its societal reception. It presents our view of the technology landscape, avoiding both the forward-looking, rose-colored utopia and the hyper-apocalyptic gloom. It does so in a concise form, addressing a complex issue in 9 concise and easy-to-read chapters. It aims to discuss the current state of machine learning and AI in strategic management, and to describe the emerging technologies. It conceptualizes their adoption, and then consider the effects of AI technologies' maturity in business organizations.

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.Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution- No Derivatives (CC-BY -ND)] 4.0 license.

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.Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution- No Derivatives (CC-BY -ND)] 4.0 license.

Responding to the increasingly blurred boundaries between humans and technology, this innovative Handbook reveals the intricate patterns of interaction between individuals, machines, organizations and beyond, even including AI-extended human interaction with animals and plants. Using cutting-edge data and analysis, expert contributors provide new insight into the rapidly growing digitalization of society.Chapters span disciplinary boundaries, covering both computer science and AI, as well as sociology and psychology, to encompass all aspects of social computing as an emerging field. They also examine the complexity of social networks and algorithmic decision-making whilst drawing on case studies from diverse industries and exploring important issues, such as the ethical implications of AI, data privacy regulation, and safe data sharing. Ultimately, this Handbook illustrates the diverse ways in which digital technologies can be used to analyze social behavior, recognise individual and group interaction patterns, and improve daily life.Providing a comprehensive overview of the latest developments in social computing, this Handbook will be an essential read for students and scholars of human dynamics, social network analysis, and sociology. It will also be an invaluable guide for professionals seeking a deeper understanding of how technology can be used to analyze social dynamics.

It includes papers for both application areas of COINs, (1) optimizing organizational creativity and performance, and (2) discovering and predicting new trends by identifying COINs on the Web through online social media analysis.

It includes papers for both application areas of COINs, (1) optimizing organizational creativity and performance, and (2) discovering and predicting new trends by identifying COINs on the Web through online social media analysis.

This book presents the most compelling arguments for and against implementing a basic income guarantee today, in the voice of proponents and critics, in alternating chapters. Tables, figures, and pictures illustrate the key concepts and evidence, which include benefit cliffs and disincentive deserts, time series macroeconomic data, business, economic, and technological change (BETC), artificial intelligence and other general purpose technologies, along with advanced robotics, the environmental Kuznets Curve, income distributions, democracy, social justice, dependence, autonomy, and economic freedom. A neutral, non-partisan tone introduction defines UBI and covers the history of universal income plans, while the conclusion summarizes the main arguments for and against UBI before surveying alternative policies, including universal basic asset, credit, service, job, and training plans.

This book presents the most compelling arguments for and against implementing a basic income guarantee today, in the voice of proponents and critics, in alternating chapters. Tables, figures, and pictures illustrate the key concepts and evidence, which include benefit cliffs and disincentive deserts, time series macroeconomic data, business, economic, and technological change (BETC), artificial intelligence and other general purpose technologies, along with advanced robotics, the environmental Kuznets Curve, income distributions, democracy, social justice, dependence, autonomy, and economic freedom. A neutral, non-partisan tone introduction defines UBI and covers the history of universal income plans, while the conclusion summarizes the main arguments for and against UBI before surveying alternative policies, including universal basic asset, credit, service, job, and training plans.