Here, we are sharing some insightful resources and further reading recommendations highlighted by our speakers. They offer perspectives on the environmental and human costs of AI, as well as the impact of AI on education and inclusive learning design. We are also including links to current projects and recent policy reports for those interested in exploring our ongoing research and contributions to the field.

AI ethics framework for young people: key references

Here you can find a non-exhaustive list of open-access resources to help develop an AI ethics framework for young people. It covers AI literacy, ethical models, impact, risk-based approaches and inclusive practices:

The Royal Society of Edinburgh (chaired by Prof Martin Hendry) has published a report on the need for ethical literacy in the curriculum to support children.

The report explores how the school curriculum can be updated to repare young people for a complex modern world. The report, which brings together learned societies and professional associations focused on STEM education, offers valuable insights that can inform higher education. Read more here:

Book: Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford

Kate Crawford explores the profound environmental and human costs associated with artificial intelligence. Crawford, with a background in philosophy, presents a compelling critique of AI, examining how its development and deployment impact power dynamics, politics, and the planet.

Publication: AI and Academia: Student perspectives and ethical implications

In this edition of studentPOLL, focusses on the growing presence of artificial intelligence in higher education and its implications for university-bound students. This report sheds light on how AI is transforming educational experiences, from personalised learning to administrative efficiencies, while also raising significant ethical considerations. Students share their perspectives on the benefits and challenges of integrating AI in academia, highlighting the need for thoughtful implementation and ethical oversight to ensure that AI enhances, rather than detracts from, the educational journey. Find out more here:

Publication: Inclusive AI Learning design frameworks

This research synthesises recent literature on artificial intelligence learning design frameworks, providing a comprehensive overview of current trends and methodologies in the field. It also introduces novel framework designed to guide the development of inclusive AI learning experiences. Read the paper here:

Projects: The Trustworthy and Ethical Assurance for Digital Twins (TEA-DT) 

In recent years, considerable effort has gone into defining principles such as 'responsible', 'safe', and 'fair' in the context of data science research and AI innovation. Although progress has been made in translating these principles into practice, many sectors still lack the tools and capabilities for operationalising and implementing trustworthy and ethical guidance. The Trustworthy and Ethical Assurance for Digital Twins (TEA-DT) project will develop and validate the existing open-source Trustworthy and Ethical Assurance (TEA) Platform, which has been designed by researchers at the Alan Turing Institute and the University of York to help users navigate the process of addressing these challenges.

For more information, visit the current project’s webpage:

Our GitHub Repository: More of this work and contribute to ongoing projects through our GitHub repository: Assurance Platform GitHub Repository.

Recent Policy Report: For an in-depth understanding of our recent findings and recommendations, read our latest policy report: TEA-DH Report.

A recent publication from our speaker Mark Wong: The UK's accelerated digitisation of services during the COVID-19 pandemic has exposed vulnerabilities for minoritised ethnic citizens, who face racialisation within data systems, amplifying inequalities. The paper advocates for using co-design methods to create more inclusive and equitable digital services by incorporating these communities' lived experiences. Quyoum, A. and Wong, M. (2024) Valuing lived experience and co-design solutions to counter racial inequality in data and algorithmic systems in UK’s digital services. Information Communication and Society, (doi: 10.1080/1369118X.2024.2331781) 

Apps: iNaturalist & Glasgow species stories
iNaturalist is an AI-powered app that allows you to identify plants and animals. We'll engage with iNaturalist and its ethical implications during our environmental workshop on Day 2 of the symposium:

You can discover the species stories project from the University of Glasgow using iNaturalist, where students and staff share the past, present, and future of campus wildlife through immersive ArcGIS StoryMaps:

 



First published: 18 July 2024

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Dates: 2nd to 4th October 2024 at the Advanced Research Centre and online

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