Emerging Technologies

Course Description

Uncover the transformative landscape of emerging technologies in this two-day workshop designed for library professionals. Delve into the realm of AI-related technologies, including machine learning, neural networks, and robotics. Explore generative AI applications such as ChagGPT and DALL-E and master the intricacies of responsible use. Navigate the complexities of data management, covering big data, data science, and ethical considerations. Join discussions on the speculative frontier of the Internet of Brains. Evaluate your library’s role by understanding the ethical insights to stay at the forefront of innovation while fostering inclusivity and ethical practices.

Learning Outcomes

Upon completion of this workshop, participants will:

1. Grasp a comprehensive understanding of AI-related technologies, including machine and deep learning, neural networks, natural language processing, robotics, and algorithms.

2. Evaluate opportunities and challenges associated with AI, considering ethical and DEI principles, addressing algorithmic biases, ensuring AI trustworthiness, and promoting algorithmic literacy within library settings.

3. Explore and implement generative AI applications, including large language models like ChatGPT and DALL-E, while adhering to policies and guidelines for responsible use.

4. Enhance proficiency in data management, encompassing big data, data science, research data management service, mapping visualization, data librarianship, and data literacy.

5. Stay informed about emerging trends like the Internet of Brains, fostering discussions on potential implications and applications within libraries. 

Course Outline

I.               Introduction

1. Welcome and overview

II.             What is technology?

III.           Evllving Library Technologies

1. Computers

2. Internet and Web

3. Digitization

4. Could and mobile computing 

IV.          Monitoring Technology Trends

1. Gartner Hype Cycle

2. Technology adoption

V.             Artificial Intelligence-related Technologies and Applications

1. AI overview

• Machine and deep learning

• Neural networks

• Robotics

• Algorithms

2. AI-related applications in library settings

• Chatbots

• Voice assistants

• Digitization

VI.           Generative AI Applications

1. Large language model

2. ChatGPT

3. DALL-E

4. AIVA

VII.           Challenges and opportunities - Ethical and DEI principles in AI

1. Addressing algorithmic biases and deepfake

2. Promoting algorithmic literacy and the role of libraries

3. Ensuring AI trustworthiness

• Lawful, ethical, and robust AI

• Policies and guidelines for responsible use

• Five principles of AI Bill of Rights

•  Artificial Intelligence Act

VIII.             Data management

1. Basic concepts of data management

• • • Big data and data science

    • Research data management service and curation

    • Digital humanities

    • Open data

    • Data mapping and visualization

    • Data librarianship

2. Addressing privacy, security, and ethical issues in data management