Suggested Topics for the Data Ethics Project

You may choose from the topics below or propose another topic of your choice in consultation with the teacher.

1. MIT's Moral Machine and article.
2. In her book Weapons of Math Destruction, Cathy O'Neil posits that the machine learning models being used today are opaque, unregulated, and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination. Is she right?
3. Recent report of the European Greens on Biometric and Behavioural Mass Surveillance in EU Member States
4. Ask one or more of {Google,Facebook,Instagrap,Snapchat,WhatsApp,…} to send you all the data they hold on you. Describe your findings and the potential implications.
5. The Institute for Ethical AI & Machine Learning's 8 principles for responsible development of AI & Machine Learning systems and their eXplainability toolbox for machine learning
6. GDPR, The E.U. law on data protection and privacy
7. Personal Information Protection Law of the People's Republic of China and its relationship to the GDPR.
8. The German government's Ethics Commission's complete report on automated and connected driving
9. Legal documents surfaced last year in Texas showing large scale collusion between Google and Facebook to control the advertising market and marginalise other advertisers and publishers. How does Google's advertisement auction system work and how have they manipulated it?
10. ChatGPT and similar Large Language Models come in for criticsm for many reasons including the perpetuation of fake news, algorithmic bias, plagiarism and copyright infringement.
11. Deep Mind has 'cracked' protein folding and recently won the 2024 Nobel Prize for Chemistry but it is proprietary. What are the consequences?
12. Stable Diffusion is a deep learning, text-to-image model. But there are concerns about the technology. Visual artists fear for their livelihood. The model is trained on images and text which are under copyright.

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