Category: AI Ethics
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Teaching AI Ethics: Datafication

This is the sixth post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on privacy, click here. “Datafication” is a term…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data bias, discrimination, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases -
Teaching AI Ethics: Privacy

This is the fifth post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on copyright, click here. There are growing concerns…
Leon Furze
AI, AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data, data bias, defmation, discrimination, ethical concerns, ethical guardrails, Europe, facial recognition, Fairness, GDPR, Justice, laws, personal data, predictive policing, privacy, responsible AI use, social services, societal biases -
Teaching AI Ethics: Copyright

This is the 4th post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on Truth, click here. This is the first…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data bias, discrimination, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases -
Teaching AI Ethics: Truth and Academic Integrity

This is the third post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on Environmental concerns, click here. The concept of…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data bias, discrimination, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases -
Teaching AI Ethics: Environment

This is the second post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the first post on bias and discrimination, click here. The original…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, climate, climate change, climate crisis, community needs, data bias, data center, data centre, discrimination, electricity, energy, environment, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases -
Teaching AI Ethics: Bias and Discrimination

This is the first post in a series exploring the nine areas of AI ethics outlined in this original post. Each post will go into detail on the ethical concern as well as providing practical ways to discuss these issues in a variety of subject areas. UPDATE: Here’s a pre-post-script to this post which raises…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data bias, discrimination, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases -
Teaching AI Ethics

Update: since I wrote this original post covering the nine areas, I’ve expanded each one into a complete article. Have a read through this post, and then when you’re ready to dive deeper into AI ethics, check out the full series here. If you linked to this post as part of a course or university…
Leon Furze
AGI, AI, arts, autocomplete, bias, chatbot, ChatGPT, classroom, Common Crawl, computer science, dataset, economics, education, ethical considerations, ethics, expert systems, fine-tuning, GPT-3, history, Language model, large language model, literature, machine learning, mathematics, maths, narrow AI, Natural language processing, NLP, OpenAI, output, PE, philosophy, power, prediction, predictive text, religion, science, strong AI, teachers, technology, training, user interface, weak AI