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Provides information on exploring the role of artificial intelligence in universities and colleges, offering resources on assessment, productivity, AI literacy training sessions, and discussions on responsible AI adoption.
Books
AI and the Law : A Practical Guide to Using Artificial Intelligence Safely by Harry BorovickLearn how to maximize your use of, and benefit from AI, personally and professionally while staying safe. To satisfy professionals and businesses trying to modernize their approaches to work and personal tasks, this book will explain some of the basics of what AI is, what AI is likely to look like in the near future, and how not to get stung using it. You'll quickly realize that AI isn't coming, it's here, along with its opportunities and challenges. While some of the advantages of using AI tools may seem too good to be true, you'll discover that the key to navigating the early stages of the AI era is to understand its guiding principles and then to prioritize the guidelines. The book features general situations and use cases to help you experience AI for fun and for work while retaining the benefits, profits, creations, outputs, and efficiencies of it. If you're going to use AI in your daily career, whether as a student, creative, executive, marketer or in sales this book will help you understand how to bypass obstacles and get value from AI with the guidance of an AI and tech lawyer. What You Will Learn Identify, debunk, and protect against business and legal risk in the AI era Discuss these issues on a high level with CTOs and COOs See how professionals can mutually use AI to their benefit Who This Book is For Anyone who wants to know whether AI is really going to change the world through the lens of their industry, or to simply understand how AI can be safely harnessed to maximize daily value while minimizing practical risks.
Responsible AI by Olivia GambelinFINALIST: American Book Fest Best Book Awards 2024 - Business: Technology Responsible AI is a guide to how business leaders can develop and implement a robust and responsible AI strategy for their organizations. Responsible AI has rapidly transitioned to a strategic priority for leaders and organizations worldwide. Responsible AI guides readers step-by-step through the process of establishing robust yet manageable ethical AI initiatives for any size organization, outlining the three core pillars of building a responsible AI strategy: people, process and technology. It provides the insight and guidance needed to help leaders fully understand the technical and commercial potential of ethics in AI while also covering the operations and strategy needed to support implementation. Responsible AI breaks down what it means to use ethics and values as a modern-day decision-making tool in the design and development of AI. It conceptually covers both how ethics can be used to identify risks and establish safeguards in the development of AI and how to use ethics-by-design methods to stimulate AI innovation. It also covers the different considerations for large enterprises and SMEs and discusses the role of the AI ethicist. It is supported by practical case studies from organizations such as IKEA, Nvidia, Rolls-Royce and NatWest Group.
Comparison and ranking the performance of over 30 AI models (LLMs) across key metrics including quality, price, performance and speed (output speed - tokens per second & latency - TTFT), context window & others.