Resources

Organizations:

• Break Through Tech AI Program (2-minute video): BreakThroughTech shares their role in developing talent when it comes to AI and machine learning, as well as how they promote diversity in the field. 

• Center for Humane Technology. Known widely for the film The Social Dilemma, this non-profit exposes the drivers behind all extractive technologies steering our thoughts, behaviors, and actions and advocates for furthering understanding of the root causes of harmful technology to build a more humane future.

• CIRCLS: The Center for Integrative Research in Computing and Learning Sciences (CIRCLS) is a community-based hub of researchers who are exploring and investigating technologies that will be available to learners in 5-10 years.

• Deep Learning AI: DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. 

• Eyewriter: This team is working together to create a low-cost, open source eye-tracking system that will allow ALS patients to draw using just their eyes. The long-term goal is to create a professional/social network of software developers, hardware hackers, urban projection artists and ALS patients from around the world who are using local materials and open source research to creatively connect and make eye art. 

• Future World Alliance- AI for the Rest of Us: YouTube This is a short video that describes both the mission behind the Future World Alliance and offers a summary of the book, “AI for the Rest of Us” and the role that AI plays in enhancing, not replacing, human capacity. 

• Kinfolk: Kinfolk creates self-guided and classroom-ready historical curricula in the form of interactive digital media experiences. These experiences, combined with our events and community partnerships, bring attention to underrepresented historical contexts and grow awareness of inequity and injustice. 

• Misalignment Museum: The Misalignment Museum is a place to learn about Artificial Intelligence and reflect on the possibilities of technology through thought-provoking art pieces and events.

• The Patrick J McGovern Foundation: The Patrick J McGovern Foundation announced $66.4 million in support to 148 organizations working to develop products, platforms, and policies that demonstrate AI's potential to be a force for good. 

• Revise: The Reimagining Equity and Values in Informal STEM Education (REVISE) Center is a resource center for the National Science Foundation (NSF) Advancing Informal STEM Learning (AISL) program and is supported by the National Science Foundation (NSF) award DRL-2229061. REVISE is a collaborative effort to advance equity across the informal STEM education field.   

• Sesame Workshop: A global impact nonprofit behind Sesame Street and so much more — a community built on diversity, equity, and inclusion, where creators, educators, partners, and beloved characters come together to help children grow smarter, stronger, and kinder. 

• YR Media: YR Media, a national network of young journalists and artists, collaborates with their peers around the country and top media professionals to create content that matters. For 25 years, our non-profit production company has invested in future generations — championing our voices, and those before us — to build critical skills in journalism, arts and media. 

Research Articles:

• Inclusive AI Literacy for Kids Around the World: A study that observed how 102 children (7-12 years old), from four different countries (U.S.A, Germany, Denmark, and Sweden), imagine smart devices and toys of the future and how they perceive current AI technologies.

Druga, S., Vu, S. T., Likhith, E., & Qiu, T. (2019). Inclusive AI literacy for kids around the world. Proceedings of FabLearn 2019 (pp. 104-111).

• Towards hacker literacies: What Facebook’s Privacy Snafus Can Teach Us About Empowered Technological Practices: Through an analysis of public reactions to Facebook privacy policy and feature changes that took place in the Spring of 2010, the article shows how what the author calls hacker literacies are currently being practiced. Hacker literacies, which draw their name from the practice of computer programmers that take existing code and reconfigure it according to their own values and for their own purposes, are unique in that they are not only empowered by participatory technologies, but empowered in relation to these technologies as well.

Santo, R. (2013). Towards hacker literacies: What Facebook’s Privacy Snafus Can Teach Us About Empowered Technological Practices. Digital Culture & Education, 5(1) (pp 18-33).

• The Digital Edge: How Black And Latino Youth Navigate Digital Inequality: How Black and Latino Youth Learn, Create, and Collaborate Online. The Digital Edge examines how the digital and social-media lives of low-income youth, especially youth of color, have evolved amidst rapid social and technological change.  

Watkins, S. C., Lombana-Bermudez, A., Cho, A., Shaw, V., Vickery, J. R., & Weinzimmer, L. (2018). The Digital Edge: How Black and Latino Youth Navigate Digital Inequality (Vol. 4). NYU Press. http://www.jstor.org/stable/j.ctv12pnnn4

• Methods for Eliciting Feedback about AI and Racial Equality How Black and Latinx Youth Interact with Digital Assistants: Digital assistants (DAs) such as Siri, Google Assistant, or Alexa are among the most accessible forms of artificial intelligence (AI) in the lives of youth. This paper develops and evaluates methods to elicit feedback about AI and racial equity in the context of how Black and Latinx youth (aged 8-12) interact with DAs.

Slota, S. C., Yi, S., Fleischmann, K. R., Bailey, J., & Watkins, S. C. (2021). Methods for Eliciting Feedback about AI and Racial Equity: How Black and Latinx Youth Interact with Digital Assistants. TMS Proceedings 2021 (pp 1-7). https://doi.org/10.1037/tms0000087

• How do Children’s Perceptions of Machine Intelligence Change When Training and Coding Smart Programs?: Drawing on sense-making theory, this study explores how children come to see machine intelligence after training custom machine learning models and creating smart programs that use them.  

Druga, S., & Ko, A. J. (2021, June). How do children’s perceptions of machine intelligence change when training and coding smart programs?. Interaction design and children (pp. 49-61).

• AI Friends: Designing Creative Coding Assistants for Families: Drawing on the sense-making theory, this study explores how children come to see machine intelligence after training cus- tom machine learning models and creating smart programs that use them.

Druga, S., & Ko, A. J. (2023). AI FRiends: Designing Creative Coding Assistants for Families.  Proceedings TOCE 2023 (pp 1-18).

• Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-creativity System: To determine what role AI plays in supporting and constraining creative coding by families, A Wizard- of-Oz platform was built to help families engage in creative coding in partnership with a researcher-operated AI Friend. This study defines a hypothetical human-AI configuration design space consisting of different means for humans and AI systems to communicate creative intent to each other.  A human participant study with 185 participants to understand how users want to interact with differently configured MI-CC systems.

Lin, Z., Ehsan, U., Agarwal, R., Dani, S., Vashishth, V., & Riedl, M. (2023). Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems. arXiv preprint arXiv:2305.07465 (pp 1-10).

AI Digital Tools

• Share your View: Share Your View is an online exploration tool built by Design I/O in collaboration with the Cleveland Museum of Art that introduces an imaginative entryway into the museum’s Open Access collection. Using machine learning and the open-source vector similarity engine Milvus, Share Your View detects similarities in shapes, textures, colors, and subject matter to instantly match a user’s uploaded image with an artwork from the museum’s digital collection.

• Posenet JS: PoseNet is a computer vision model that does an operation called pose estimation. Basically, it tries to detect if one or more people are present in a picture and, if so, estimate where some of their features are (nose, eyes, wrists, etc.) 

• Move Mirror: Move Mirror lets you explore pictures in a fun new way. You turn on your webcam and move around, and the computer pulls up pictures of poses that match yours in real-time. 

• Learning to See: Learning to See is an ongoing collection of works that use state-of-the-art machine learning algorithms to reflect on ourselves and how we make sense of the world. The picture we see in our conscious mind is not a mirror image of the outside world, but is a reconstruction based on our expectations and prior beliefs. 

• Teachable Machine: Teachable Machine is a web-based tool that is a fast, easy way to create machine learning models for your sites, apps, and more – no expertise or coding required.

  • Example: Webcam game controller. (assistive use potential )- Webcam game controller allows the user to use their webcam as a controller to navigate in games.

  • Example: Eye Tracking in the browser: (assistive use potential) WebGazer.js is an eye tracking library that uses common webcams to infer the eye-gaze locations of web visitors on a page in real-time. Using JavaScript, in the eye tracking model, it self-calibrates by watching web visitors interact with the web page and trains a mapping between the features of the eye and positions on the screen

• RAISE Playground: The RAISE Playground is a block-based programming platform that lets anyone use machine learning models, robotics, and AI engines to make projects.

• Ml5.js a javascript ML library: https://thecodingtrain.com/tracks/ml5js-beginners-guide- The beginning guide to machine learning and its basic concepts using JavaScript.  

  • Examples: Here you'll find examples that will help you get started using ml5.js. You can open the interactive demos using the p5 web editor or check out the various demos that use p5.js or plain JavaScript. 

• ML4A: ML4A is a collection of tools and educational resources which apply techniques from machine learning to arts and creativity.  

  • Examples: Doodle tunes: Doodle Tunes lets you turn doodles (drawings) of musical instruments into actual music. A camera looks at your drawing, detects instruments that you have drawn, and begins playing electronic music with those instruments. 

• Experiments WIth Google (TensorFlow experiments)-  Google is showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments. There are collections of experiments to explore, with new ones added every week. 

• Copilot and ChatGPT writing P5.js and OF projects just with a minimal textual outline. GitHub Copilot suggests code completions as developers type and turn natural language prompts into coding suggestions based on the project's context and style conventions.

• Milvus: Vector search tool built to handle data from ML models- Milvus is an advanced open-source vector database, built for developing and maintaining AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. 

• Scenario Studio: Moody’s Analytics Scenario Studio enables users to produce custom scenarios in a multi-user environment with process controls that provide complete oversight. 

• TextFX-  TextFX is an AI experiment that uses Google's PaLM 2 large language model. These 10 tools are designed to expand the writing process by generating creative possibilities with text and language.

• Posenet: In collaboration with Google Creative Lab, TensorFlow.js version of PoseNet is a machine-learning model which allows for real-time human pose estimation in the browser

• Grover’s Block Party: The Sesame Workshop developed the world’s first interactive, multi-screen game for preschoolers that allows a 3D, virtual Grover to join children as they play with physical alphabet blocks. Studies from this game observed measurable gains in basic literacy skills, math, and spatial learning amongst this age group. 

• Erase Your Face: Employing a service called Amazon Rekognition, a user’s drawing/picture will be tested against a sea of other A.I.-generated faces to see if the software can still make a match, despite your attempt to go incognito.

Frameworks for AI Literacy/Issues/Ethics with AI

• VIDEO- What is AI Ethics? - YouTube: In this lightboard video, Phaedra Boinodiris with IBM, breaks down what AI ethics is and why it is so important for companies to establish a set of principles around trust and transparency when adopting AI technologies.

• All for the Rest of Us: Phaedra’s book is an essential read for anyone interested in understanding AI and the responsibility that comes with developing and using it.

• The CEO’s guide to generative AI | IBM: Talent and Skills- This article covers how CEOs can accelerate the adoption of generative AI and scale safely and responsibly. 

• PODCAST The Three Rules of Humane Tech:  This talk focuses on the Three Rules of Humane Technology and explores what it means to be a responsible technologist in the age of AI. Center for Humane Technology

• VIDEO- The AI Dilemma: In this video, Tristan Harris and Aza Raskin discuss how existing A.I. capabilities already pose catastrophic risks to a functional society, how AI companies are caught in a race to deploy as quickly as possible without adequate safety measures, and what it would mean to upgrade our institutions to a post-A.I. world Center for Humane Technology

• VIDEO- AI Literacy, or Why Understanding AI Will Help You Every Day: Just as computer literacy allowed the public to engage with society through modern technology, AI literacy is becoming increasingly necessary to engage with the AI systems that permeate our personal and professional lives. In this TEDx talk, a PhD student and AI YouTuber will discuss why AI literacy is the next wave of technological literacy, and how you can get ahead of the AI curve.

• VIDEO- How AI Image Generators Make Bias Worse: This video addresses a now deleted Buzzfeed article on what AI thinks Barbies would look like from different countries around the world, resulting in extreme forms of representational bias - including colourist and racist depictions, which is something that AI image generators are often prone to doing. With AI image generators like MidJourney, Stable Diffusion, and Dall-E gaining huge popularity, it’s important to be vigilant about the forms of bias that these technologies can fuel and how to stop biases from getting worse.

• All Aboard: Making AI Education Accessible: This primer includes the best practices and guidelines for making text-based and visual educational content accessible, including a case study that illustrates how comics can be used to accessibly communicate AI concepts to the general public, Pointers to free resources you can use to improve the accessibility of educational content you are developing.