Leon Furze’s blog post titled “Teaching AI Ethics: The Series” presents a comprehensive guide to understanding and teaching the ethical implications of Artificial Intelligence (AI). The series, initially a single post, has been expanded into nine detailed posts, each focusing on a unique ethical concern related to AI, including bias, discrimination, environmental issues, truth and academic integrity, copyright, privacy, datafication, emotion recognition, human labor, and power structures.
Designed primarily for K-12 education but also applicable to tertiary-level discussions, each post provides case studies, discussion questions, and lesson ideas to facilitate a deeper understanding of these complex issues. The aim is to equip students with the necessary knowledge to navigate the ethical landscape of AI in an increasingly digital world.
Thanks for taking the time to read this post. If you’ve enjoyed the insights and stories, consider showing your support by subscribing to my weekly newsletter. It’s a great way to stay updated and dive deeper into my content. Alternatively, if you love audiobooks or are curious to try them, click here to start your free trial with Audible. Your support in any form means the world to me and helps keep this blog thriving. Looking forward to connecting with you more!