Interested in starting an AI club at your school?
At Allgirlithm, we are developing an AI club curriculum to help make AI education more accessible to middle and high school students in diverse communities. We understand that artificial intelligence is not a typical subject to be taught in school, but we want to change that. Our goal for launching the Allgirlithm Initiative Program is not only to teach students the fundamentals of AI, but also to spark interest, promote diversity, and break stereotypes in this emerging field.
The club lasts for a total of 10 weeks, with students learning 1-2 concepts per meeting. Several topics and subcategories covered include introduction to machine learning, supervised vs. unsupervised learning, clustering algorithms, neural networks, future implications of AI, computer vision, natural language processing, autonomous systems, expert systems, etc. Along with lectures, we will also provide you with links to instructional videos, AI demonstrations, AI/CS-related opportunities, and more. If you are interested in starting your own chapter or know anyone who may be interested, please fill out this form. All curriculum materials provided are free, and we will send them to you in the fall so that you can launch your own AI club for the 2018-2019 school year. Feel free to contact us at email@example.com with any questions.
There are already technologies that can help writers follow rules in writing. The Hemingway Editor is an example of a system that does this well, helping users make their writing more concise and grammatically correct.
Revision Assistant, an artificially intelligent system from Turnitin (the company that checks for literary plagiarism), says they can use algorithms to help people become better writers.
“Like any art, writing is not necessarily intuitive,” Elijah Mayfield, the founder of Revision Assistant told Quartz Magazine. “Learning to write is at least as hard as learning calculus or learning how to build a circuit. Different, but it’s a skill nonetheless and something you can learn.”
Revision Assistant is now being used by 200,000 students in more than 100 US school districts, according to Quartz. The machine can recognize things in the data and decide what the right course of action is. For example, if Revision Assistant spots a section that seems to need supporting examples, it highlights the area and encourages the writer to expand. It focuses the writer’s attention on areas for improvement, and leaves the “creative” work to them.
The repetition and instant engaging help the writing process become better. Over many revisions, students learn to spot these issues on their own and become more confident writers. Revision Assistant helps prove that there can be tools to help us become better skilled in creative fields.
AI Writer is another example that not only helps write, but research for an article. Based on a headline the user inputs, the free software generates an article of length 100-1000 words. As AI becomes more incorporated into creative fields like art, writing endeavors are also benefited.
Harvard Business Review
Photo Credit: smartify.org
AI is being integrated into all aspects of our lives. One place where it has tremendous applications is in museums. Museums are full of huge amounts of data that hold many opportunities for AI.
One way that AI can help is by sorting collections, as “more than 90 percent of (enterprise) data is unstructured, human-generated and sourced from various disparate entities” (IDC, 2015). Using image recognition, pattern recognition, machine vision and sentiment analysis (analysing the emotions conveyed through text or faces recognised), museums can find interesting and new ways to quickly sort through their collections. Here are some museums that have used sentiment analysis to sort through their data:
Another exciting avenue for museums to explore is the use of smartphones to easily and instantaneously recognise works and access additional information about them. The app Smartify, which launched in 30 museums this year including The Met in New York and the National Gallery in London, does exactly this. It has been described as the ‘Shazam of the art world’, as it uses image recognition to scan and identify art works. It then provides the user with information about the work as well as interviews with the artist and other audio-visual information pertaining to the work. Currently, the app does not recognise images that are not already stored on its database, but the company is working towards changing this.
Additionally, some museums, like the Anne Frank House in Amsterdam, have launched Messenger bots to interact with visitors. The one in the Anne Frank House tells users about the history of the museum and Anne Frank’s past. The SFMOMA also uses a chatbot that connects to visitors through texts. It allows users to send in keywords and in turn sends back answers with pictures of works at the museum including the title, artist and year. These chatbots do make mistakes occasionally, but showcase the great ways in which museums can use AI to make their works more accessible.
These are just a few of the millions of ways in which museums can innovatively use AI to their benefit. AI can help keep track of and sort through museums’ vast amounts of data, can make this information more reachable to the public, and can allow visitors to have more insightful and enjoyable museum visits.
Museums and the web