Artificial intelligence (AI)
AI in education: friend or foe?
Artificial Intelligence (AI) and large language models (LLMs) have the potential to transform education, work and indeed society, addressing key challenges and fostering innovation. However, they also create challenges and pose significant risks, which require policy, regulatory and educational frameworks to be effectively managed.
Animation
Detecting deepfakes: how can we ensure that generative AI is used for good?
3 minute animation and related article. This animation outlines how due to AI, deepfakes – manipulated pieces of media using generative AI technology and designed to trick their viewers – are becoming more convincing, prevalent and problematic. This animation and related article explore the potential of deepfake detection technology and also deepfake forensic methods to combat the potential harms of deepfakes. These resources were created by academic staff from the University at Buffalo, The State University of New York in the US.
Animation credit: detecting deepfakes: how can we ensure that generative AI is used for good? by Dr Siwei Lyu and Futurum. CC BY-NC 4.0
Date published: 2024 | License: CC BY-NC 4.0
Articles
AI for equity: unpacking potential human bias in decision making in higher education
The purpose of this study is to show how AI can serve as an assessment tool to detect potential human bias in decision making for students in higher education. This article was published in the journal AI, Computer Science and Robotics Technology.
Date published: 2023 | License: CC BY 4.0
Emotions and artificial intelligence
This collection of 11 articles explores emotion and AI, as there is increasing interest in the incorporation of emotional intelligence into machines. Natural language processing, computer vision, and affective computing techniques, among others, are becoming involved in the detection and analysis of human emotions. The main aim is to allow machines to properly recognise, interpret, and respond to human emotions, enhancing their ability to interact with us in more meaningful ways, especially in multimodal and multimedia settings. Published by Frontiers.
Date published: 2023 and 2024 | License: CC BY 4.0
Book chapters
Applications of machine learning in healthcare
This chapter examines a brief history of machine learning, some basic knowledge regarding the techniques, and the current state of this technology in healthcare. This chapter was published in the book: Smart Manufacturing – when Artificial Intelligence meets the Internet of Things.
Date published: 2021 | License: CC BY NC 4.0
The razor’s edge: how to balance risk in artificial intelligence, machine learning, and big data
This chapter is guided by the question, how can an educational system take advantage of rapid technological advances in a safe and socially responsible manner while still achieving its mandate of fostering and supporting learner success? This book chapter resulted from a co-design project in a class in the Masters of Education programme at the University of Calgary, Canada.
Date published: 2021 | License: CC BY 4.0
Briefing papers
Evaluating malicious generative AI capabilities: understanding inflection points in risk
This CETaS Briefing Paper examines how generative AI (GenAI) systems may enhance malicious actors’ capabilities in generating malicious code, radicalisation, and weapon instruction and attack planning. It synthesises insights from government practitioners and literature to forecast inflection points where GenAI could significantly increase societal risks. Published by the Centre for Emerging Technology and Security, UK.
Date published: 2024 | License: CC BY 4.0
Checklists
The Generative AI checklist
This 1 page guide provides recommendations on how to use AI effectively:
C – Clarify context/objectives
H – Hone your requests
E – Evaluate responses
C – Cross-check and verify
K – Expand your Knowledge
L – Link concepts
I – Implement responsibly
S – Study skills development
T – Track and log progress
Created and shared by Sue Beckingham (Sheffield Hallam University) and Peter Hartley.
Date published: 2024 | License: CC BY-SA 4.0
Courses
DAILy curriculum
The DAILy-AI workshop, designed by MIT educators and experienced facilitators, features hands-on and computer-based activities on AI concepts, ethical issues in AI, creative expression using AI, and how AI relates to your future. Users will experience training and use machine learning to make predictions, investigate bias in machine learning applications, use generative adversarial networks to create novel works of art, and learn to recognize the AI you interact with daily and in the world around you.
Date published: Not specified | License: CC BY NC 4.0
Guidance and guides
A people’s guide to teach AI
This education-inspired guide breaks down and contextualises AI technologies with specific focus on equity and provides hands-on exercises to help us imagine beyond, and dream up alternate and ideal futures with AI. Curated by Allied Media Projects.
Date published: 2018 | License: CC BY NC SA 4.0
Guidance for generative AI in education and research
UNESCO’s first global guidance on GenAI in education aims to support countries to implement immediate actions, plan long-term policies and develop human capacity to ensure a human-centred vision of these new technologies.
Date published: 2023 | License: CC BY-SA 3.0
Journals
The new reel
This journal emerged from the experiential AI research theme and group, it conducts research on the following themes: creative AI for good, human-centred creative AI, next generation intelligent experiences and public XAI and socio-technical literacy. Published by the University of Edinburgh, via Edinburgh Diamond.
Date published: 2023 to current | License: CC BY 4.0
Presentations
101 creative ideas to use AI in education
This collection captures where we are, at this moment in time with our collective thinking about potential alternative uses and applications of AI, that could create new learning opportunities. The collection is based on an open invitation to all educators and students to share ideas on how AI tools could be used in inventive ways for learning, teaching and scholarship. A PDF of this slide collection is available at this link: 101 creative ideas to use AI in Education: A crowdsourced collection. (wichita.edu).
Date published: 2023 | License: CC BY-NC-SA 4.0
AI text and student words: how can we best distinguish?
Compiled by Anna Mills, a US based educator, as an invited presentation for Auburn University, US.
Date published: 2024 | License: CC BY NC 4.0
AI text generators: sources to stimulate discussion among teachers
Compiled by Anna Mills. Included as part of a larger resource collection: AI and Teaching Writing: Starting Points for Inquiry.
Date published: 2024 | License: CC BY-NC 4.0
Reports
Artificial intelligence and intellectual property: an economic perspective
The emergence of AI has profound implications for intellectual property (IP) frameworks. While much of the discussion so far has focused on the legal implications, we focus on the economic dimension. This report dissects AI’s role as both a facilitator and disruptor of innovation and creativity. From patentability dilemmas to copyright conundrums, the authors explore the delicate balance between fostering innovation and safeguarding societal interests amidst rapid technological progress. Published by the WIPO.
Date published: 2024 | License: CC BY 4.0
Textbooks
AI supercharged learning: pragmatic teaching with artificial intelligence
Discover how AI can revolutionize your classroom, transforming students from passive recipients into active participants in their own education. Dive into real-world case studies, ethical pitfalls, and exciting possibilities, guided by hands-on advice for teachers to navigate the complexities of AI in education. Published by A7technology Inc.
Date published: 2023 | License: CC BY 4.0
Toolkits
Getting the innovation ecosystem ready for AI: an IP policy toolkit
As AI technologies evolve at an exponential pace there are many questions and challenges for IP and the IP system. The purpose of this IP policy toolkit is to provide policymakers with a framework to understand the state of play of AI innovation right now and to think about the future as AI becomes increasingly autonomous. Published by the WIPO.
Date published: 2024 | License: CC BY 4.0
Discovering the power of AI for teaching
Related OER selections which may also be of interest include the chapter on assessment and also the academic writing OER shared in our index.
CPID also provide support for TUS staff to harness AI effectively for teaching and learning.
Image credit: photograph of Mac Book displaying Chat GPT by Emiliano Vittoriosi. Unsplash license
