American Sign Language Flashcards : 500 Words And Phrases, Second Edition by Geoffrey S Poor
View book: American Sign Language Flashcards : 500 Words And Phrases, Second Edition
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- Full-color photos that help you visualize the signs
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- A word index for easy reference
- A card sorting ring for a personalized study experience
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Artificial Intelligence and Libraries: Impacts, Roles, and Concerns
Good afternoon everyone, thank you for joining us this afternoon here at the first session at CNI Fall 19. My name is Jason Griffey and I’m here with Keith Webster to discuss the topic of AI in libraries and research. Keith will focus specifically on AI at Carnegie Mellon, while I will provide an overview of AI and its various applications in the world.
Introduction: I am a librarian with a background in academic research and a Fellow at the Berkman Kline Center for Internet Society at Harvard. I have also worked as an editor and author on the topic of artificial intelligence and machine learning in libraries. In the next 25 minutes, I will discuss what AI means, give examples of how it is being used in various fields, and discuss my concerns and predictions for the future.
What is AI? When I refer to artificial intelligence, I am using it broadly to encompass machine learning, deep learning, and neural networks. AI can be categorized into two types: strong AI, which is capable of reasoning like a human, and weak AI, which is trained to do specific tasks better than humans. In this talk, I will focus on weak AI.
State of Artificial Intelligence: AI is driven by advances in technology and changes in an exponential, rather than linear, manner. This means that AI is only going to get better, cheaper, and easier to use. This exponential growth in machine learning has already resulted in significant improvements in medical diagnosis and image analysis. However, it is important to note that AI is only as good as the data it is trained on. If the data is biased or incomplete, AI can produce inaccurate or flawed results. Therefore, it is crucial to consider the quality and diversity of data used in AI systems.
Active Uses of AI: AI is already present in many aspects of our daily lives. For example, smartphones have dedicated AI engines that organize and display our photos. AI is also being used in medical diagnosis, where it has shown the ability to outperform human experts in areas such as cancer detection. However, there are also negative examples of AI, such as biased data being used in sentencing guidelines and the potential for AI-generated misinformation.
Implications for Libraries and Research: AI is transforming the research process and academic landscape. Libraries must adapt to support this changing environment by providing resources, training, and expertise in AI-related fields. We need to collaborate with researchers across disciplines to ensure responsible and ethical use of AI. Additionally, librarians can help bridge the gap between humanists and computer scientists by acting as interpreters and facilitators in AI projects. Open science and data sharing are also essential for AI research, and libraries can play a crucial role in managing and providing access to these datasets.
AI is a powerful tool that will continue to impact libraries and research. Librarians must embrace AI and its potential, while also being aware of its limitations and ethical considerations. By staying engaged with researchers, fostering collaborations, and providing necessary resources and expertise, libraries can navigate the evolving landscape of AI and support the needs of their users.