๐๏ธ Week 11 - Generative AI: ethics, privacy, consent
2022/23 Lent Term
Welcome to the final week of our course. We wrap up the course by discussing and exploring the current wave of Generative AI. In the lecture, we will hear from Georgia Meyer about the ethical and privacy issues surrounding these tools.
In the class, we will explore Generative AI tools together (ChatGPT, Bingโs Chat, Googleโs Bard โ whatever we can access on the day!) to produce legitimate R code, and then we will pose ourselves a challenge, albeit an easy one: can we force these tools to produce fake news? Time allowing we will also allow some time for you to discuss the summative essay with your peers: what are your thoughts so far on the Cambridge Analytica scandal?
๐Location: Monday 27 March 2023, 2 pm - 4 pm at FAW 2.04
๐จโ๐ซ Lecture Material
Below is the plan we will follow this Monday. You can download the slides from here.
- Introduction
- Generative AI, foundation models and general purpose technologies
- Applications of generative AI (in brief)
- Medical practitioner training, discovery and quantum chemistry, the arts, the law
- Data and generative AI
- Training processes, ecosystems of interdependent inputs and outputs, data types
- Socioeconomic contexts
- National AI strategies
- Recap
- Notes on areas to consider when evaluating generative AI
- Ethical principles
- Beneficence, explicability, non-maleficence, autonomy, justice
- Ethics in practice I -Non-maleficence: privacy and consent
- Ethics in practice II
- Justice: epistemic bias
- Live debates
- Anthropomorphising AI, deep fakes, environmental harms, worker exploitation
- The โfutureโ
- GPT-4, Dr Abeba Birhane, Dr Sun-Ha Hong, Dr Emily Bender, Ted Chiang
๐ฅ Looking for lecture recordings? You can only find those on Moodle.
๐ Recommended Reading
- Check the slides for this weekโs complete list of indicative and recommended readings.
๐ Communication
- Post your reflections, questions, and links on Slack.
- Book office hours if you want to discuss your coursework with me.