Essential Topics in Artificial Intelligence represents my next book to be published by A.J. Rhem & Associates, Inc. This book is expected to be available on Amazon by the end of November 2023.
The intent of Artificial Intelligence (AI) is to enable computers to perform tasks that are normally performed by a human, as such AI will evolve to take many jobs once performed by humans. AI encompasses a wide range of techniques and methodologies aimed at creating intelligent systems capable of performing tasks that typically require human intelligence. When I started in AI in the late 1980’s and through the late 1990’s, AI was identified as a multidisciplinary science, which included expert systems, neural networks, robotics, Natural Language Processing (NPL), Speech Recognition and Vision. This multidisciplinary aspect of AI enabled AI to make inroads into industries such as healthcare, automotive, manufacturing, finance, logistics and the military. The most recent focus on AI is concerned with the implementation of Machine Learning (ML) Algorithms, Large Language Models (LLMs), and Generative AI which produce images. A host of Generative AI applications have entered the consumer consciousness specifically around LLMs (i.e., ChatGPT, Bard) and Generative AI image creation (i.e., Midjourney, DALL-E2).
The field of artificial intelligence encompasses various essential topics that shape the development and deployment of intelligent systems. AI Ethics and Governance ensure responsible and ethical practices, while Large Language Models like ChatGPT revolutionize language understanding and generation. Artificial General Intelligence represents the pursuit of human-level intelligence, and Natural Language Processing enables machines to interact with human language effectively. Understanding these topics is vital for researchers, practitioners, and society as a whole to navigate the evolving landscape of artificial intelligence responsibly and effectively. This book will explore some of the pertinent essential topics in artificial intelligence, including AI Ethics and Governance, Large Language Models such as ChatGPT, Artificial General Intelligence (AGI), and Natural Language Processing (NLP).
A sample table of contents includes:
- Chapter 1 – Introduction
- Chapter 2 – AI Ethics and its Impact on Knowledge Management
- Chapter 3 – AI Ethics in delivering Healthcare Analytics
- Chapter 4 – Ethical use of data in AI Applications
- Chapter 5 – An Examination of AI Governance Standards
- Chapter 6 – An Examination of Large Language Models
- Chapter 7 – Natural Language Processing
- Chapter 8 – Human-AI Interaction and Collaboration
- Chapter 9 – AI in Industry and Applications
- Chapter 10 – Artificial General Intelligence (AGI)
- Chapter 11 – AI and the Future of Work
- Chapter 12 – Summary
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