Conversational Intelligence
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Conversational Intelligence
The key to success in life and business is to become a master at Conversational Intelligence. It's not about how smart you are, but how open you are to learn new and effective powerful conversational rituals that prime the brain for trust, partnership, and mutual success. Conversational Intelligence translates the wealth of new insights coming out of neuroscience from across the globe, and brings the science down to earth so people can understand and apply it in their everyday lives. Author Judith Glaser presents a framework for knowing what kind of conversations trigger the lower, more primitive brain; and what activates higher-level intelligences such as trust, integrity, empathy, and good judgment. Conversational Intelligence makes complex scientific material simple to understand and apply through a wealth of easy to use tools, examples, conversational rituals, and practices for all levels of an organization.
Conversational Informatics
This book covers an approach to conversational informatics which encompasses science and technology for understanding and augmenting conversation in the network age. A major challenge in engineering is to develop a technology for conveying not just messages but also underlying wisdom. Relevant theories and practices in cognitive linguistics and communication science, as well as techniques developed in computational linguistics and artificial intelligence, are discussed.
What Is Artificial Intelligence?: A Conversation Between An Ai Engineer And A Humanities Researcher
'A light-hearted, but engaging conversation about one of the key technologies of our age.I recommend this book to anyone interested in the broader issues around Artificial Intelligence.'Richard HartleyAustralian National University, Australia This book engages with the title question: what is artificial intelligence (AI)? Instead of reiterating received definitions or surveying the field from a disciplinary perspective, the question is engaged here by putting two standpoints into conversation. The standpoints are different in their disciplinary groundings — i.e. technology and the humanities — and also in their approaches — i.e. applied and conceptual. Peter is an AI engineer: his approach is in terms of how to make AI work. Suman is a humanities researcher: his approach is in terms of what people and academics mean when they say 'AI'.A coherent argument, if not a consensus, develops by putting the two standpoints into conversation. The conversation is presented in 32 short chapters, in turn by Suman and Peter. There are two parts: Part 1, Questioning AI, and Part 2, AI and Government Policy. The first part covers issues such as the meaning of intelligence, automation, evolution, artificial and language. It outlines some of the processes through which these concepts may be technologically grounded as AI. The second part addresses policy considerations that underpin the development of AI and responds to the consequences. Themes taken up here include: rights and responsibilities; data usage and state-level strategies in the USA, UK and China; unemployment and policy futures.