1. AI Episode 1: Intro to Artificial Intelligence in Teaching
  2. AI Episode 2: What Does An AI Teaching Assistant Look Like?
  3. AI Episode 3: Implications for Thought Leaders and Policy Developers
  4. Introducing Simulations into Teacher Preparation Programs
  5. Assistive Technology to Support Writing
  6. Enhancing Instruction and Empowering Educators with AI Tools and Technology
  7. So, AI Ruined Your Term Paper Assignment?
  8. Step by Step Use of Chat GPT
  9. CIDDL ChatGPT: Summarizing Text
  10. CIDDL ChatGPT: Solving Multiple Choice Questions
  11. Equity, Diversity, and Access to Technology in the Age of Artificial Intelligence
  12. CIDDL ChatGPT: Writing Programs
  13. CIDDL ChatGPT: Solving Word Problems
  14. Artificial Intelligence: Positives and Negatives in the Mathematics Classroom
  15. AI to Support Literacy
  16. Using the AI Bill of Rights to Guide Education’s use of AI and the European Commission’s “Ethical Guidelines for Teaching and Learning” to Guide the Future of AI in Education Part 1 of 2
  17. Using the AI Bill of Rights to Guide Education’s use of AI and the European Commission’s “Ethical Guidelines for Teaching and Learning” to Guide the Future of AI in Education Part 2 of 2
  18. Three Free & Easy Tools to Support Tiered Reading in Your Classroom
  19. The Question of Equity in the Age of ChatGPT
  20. CIDDList: 5 AIs You Need to Check Out This Summer!
  21. Mixed Reality Simulations, Personalized Learning, AI, and the Future of Education with Dr. Chris Dede
  22. Foundations for AI and the Future of Teaching and Learning from the US Department of Educational Technology
  23. Apple Enters the AR/VR/MR/XR Scene
  24. ChatGPT, AIs, and the IEP?
  25. There’s An AI for That: A Site Dedicated to Curating AIs
  26. UDL, Design Learning, and Personalized Learning
  27. Embracing the Future: How Teachers Can Harness AI at the Beginning of the School Year
  28. Empowering Special Education Faculty: Navigating the AI Landscape in Higher Education for 2023-2024.
  29. CIDDList: Back-to-School Checklist for Technology in Teacher Preparation Courses
  30. Cracking the Code: Students with Disabilities in the Computer Sciences 
  31. UNESCO Discusses Artificial Intelligence
  32. AI-integrated Apps for Those with Visual Impairments: Camera-Based Identifiers and Readers
  33. Publishers Respond to Generative AI
  34. K-12 Generative AI Readiness Checklist
  35. CIDDL Talks How AI Will Change Special Education at TED
  36. Re-designing and Aligning an Intro to Special Education Class to the UDL Framework through Technology Integration: Minimizing Threats and Distractions
  37. Resources for Learning About AI Going Into 2024
  38. Artificial Intelligence in Education 2023: A Year in Review
  39. Revolutionizing Mathematics Education in K-12 with AI: The Role of ChatGPT
  40. Image Generating AI and Implications for Teacher Preparation
  41. Are We There Yet? AI for Statistical Analysis
  42. Answers to Your AI Questions: A Conversation with Yacine Tazi
  43. Emerging Trends in Special Education Technology: A Doctoral Scholar Symposium
  44. 2024: A Space Odyssey? How AI and Technology of the Present Compares to HAL9000 and the Predictions of 2001: A Space Odyssey
  45. Using ChatGPT for Writing Lesson Plans
  46. Updates in the World of AI
  47. CIDDList: Exploring GPTs Available with ChatGPT Plus
  48. Prompt Engineering for Teachers Using Generative AI: Brainstorming Activities and Resources
  49. Understanding the AI in Your Classroom
Picture of a robots hand

Using the AI Bill of Rights to Guide Education’s use of AI and the European Commission's “Ethical Guidelines for Teaching and Learning” to Guide the Future of AI in Education Part 1 of 2

Author: Samantha Goldmaninfo@ciddl.org

In a previous CIDDL blog, we provided a step-by-step usage guide for this emerging technology known as ChatGPT. The artificial intelligence (AI) tool, which launched at the end of 2022, has been sending shockwaves through the world of education. Questions about how to determine if an AI wrote a paper or a human, the impact of AI on cheating, and how AI will change how we teach are circulating among communities. And, making national news, is the number of districts whose immediate response is to ban these technologies, such as New York, Los Angeles, and Baltimore. 

The Rise of AI

In October 2022, the “Blueprint for an AI Bill of Rights: Making Automated Systems work for the American People” was published. Though the guidelines pertain to the overall uses of AI, how AI impacts our lives, and areas of concern when looking at the full spectrum of AI, it points to direct implications for the K-12 setting, and specifically, special education. The framework sets forth five principles with the “core message gleaned… [being] that AI has transformative potential to improve Americans’ lives, and that preventing the harms of these technologies is both necessary and achievable” (p. 4). 

The principles addressed should not seem too foreign to any teacher, or person, who has interacted within the classroom setting, especially since the boom of devices such as computers in education. They include safe and effective systems, algorithmic discrimination protections, data privacy, notice and explanation, human alternatives, considerations, and fallback. To summarize, each of these:

  1. Safe and Effective systems developed in collaboration with diverse communities to protect proactively from unintended harms of using an automated system (i.e. inappropriate or irrelevant data)
  2. Algorithmic Discrimination Protections ensure that the AI will be designed in an equitable way that will not discriminate treatment of people based on race, sex, gender identity, disability, ethnicity, etc. 
  3. Data Privacy in that you should assume that the information that is collected has built-in safeguards and that permission should be granted to collect, use, access, transfer, and delete data. 
  4. Notice and Explanation ensure that you know that you are interacting with an automated system and how it impacts you and the outcome. 
  5. Human Alternatives, Considerations, and Fallback provide the opportunity to, where appropriate, opt out of the use of AI. 

The AI Bill of Rights cites a predictive model that identified race as an indicator of student dropout at the university level. This led to advisors gearing students towards or away from specific majors, which directly violates the principle of algorithmic discrimination. More specifically related to students with disabilities, the National Disabled Law Students Association expressed concerns over the use of remote proctoring and the way in which AI flags allowable accommodations such as screen readers, dictation, and breaks as potentially suspicious, in a report from 2020. 

Perhaps even more familiar to schools is the concept of data privacy and the impact AI will have on how we maintain and ensure student safety. Beyond giving access to monitor and maintain student data such as school records, AI is responsible for the surveillance of both the physical and digital worlds. The impact of this surveillance and the accompanying evaluations is noted to be responsible for impacting self-confidence, due to the fact that they are always being watched and evaluated. Other critics report that AI will reduce the critical thinking skills of students. There is no clear understanding as to how this data is currently being used, coupled with the fact that we do not know how it will be used in the future, which can lead to discriminatory impacts. 

The use of these principles needs to be adapted for each context and has specific implications in the world of education where privacy, accessibility, and safety are amongst top concerns. We are already seeing adverse impacts of AI in the educational setting in areas such as the ability to develop higher-order thinking. Articles and blog posts in local and national news outlets are citing fears over cheating and plagiarism as reasons that AI is being banned from schools. But, the question facing teachers, teacher-educators, and researchers should not be “how do we ensure that AI has no place in the classroom?” but instead “how do we leverage AI to best prepare our students for the world they will live in”. 

The truth is, we are still learning about AI and how it will change our roles as researchers, teacher-educators, teachers, and students. And, with that, come some exciting possibilities. In an earlier CIDDL blog post on the topic of AI and term papers, Drs. Basham, Fulchini Scruggs, and Vasquez shared ways in which AI could be used to enhance or alter current assignments, a concept that Anne Bruder is using in her own classroom. A recent EdWeek article discussed how using ChatGPT can be used to make the lesson planning process faster for teachers and even craft emails and letters of recommendation. And, amidst a time where several districts are calling for the ban of AI technology, others are promoting teaching teachers and students to use it as a learning tool. 

Share Your Voice

Legislation and impact regarding the use of AI in education, both K-12 and higher education, is continually being written, discussed, and published. Given that this is such a new and emerging topic, your voice on the matter is important. What legislation and policies have emerged in your states, universities, and school districts? Join our conversation on AI in our CIDDL community and help shape the future of education.