Chatbots

Provides a basic outline of library chatbots implementation from an existing library chatbot:
1. Decide on what problem your bot will solve.
2. Decide on which platform (Facebook, Slack, Kik, etc.) your bot will live.
3. Set up a server from which to run the bot.
4. Choose which service you'll use to build the bot.

This short article has a few statistics about chatbots, particularly in handling insurance claims. Explains how it can benefit companies and free up valuable staff time. "Nearly 20% of companies have already deployed chatbots in the workplace, with an anticipated 57% by 2021."

This source aims to explore the impacts of automation of human work, with a particular focus on recent advances in robotics and AI and how these may affect library services and library work in future.

This source focuses on the development of the chatbot, ANTswers from the University of California Irvine. This has an in-depth analysis on understanding chatbots in the role of instruction and reference.

This source explores the integration of chatbots in libraries. It describes the benefits of implementing a chatbot in a cost-effective way and to answer reference questions for a library service.