Data Ethics Book Club - Generative AI Special
Join our Data Ethics book club on the extremely hot topic of Generative AI! We have shared a range of materials to explore this topic with below - you don’t need to read them all, just come along prepared to engage in lively discussion.
Please be aware that this is a small event capped at 40 places - if you can’t make it, cancel your ticket or let the host know so others can join.
We also want to thank HSBC for hosting us!
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Schedule
6pm - Intro from HSBC
6.15pm - Break into groups
7pm - 15 min break
7.15pm - groups resume
7.50pm - outro from DataKind UK
8pm - Close
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Reading, watching, or listening material
You are welcome to pick from this list, depending on your interest and the time you have. The discussion will range across a number of topics raised by the pieces!
[Academic paper] On the Dangers of Stochastic Parrots | Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
[Academic paper] Do Foundation Model Providers Comply with the Draft EU AI Act?
[Video] How AI Could Empower Any Business | Andrew Ng | TED
[Textbook] Generative Deep Learning, 2nd Edition [Book]
[Technical blog post] Explainable AI: Visualizing Attention in Transformers
[Non-technical blog post] Risks and ethical considerations of generative AI
[Non-technical blog post] Embedding controls and risk mitigations throughout the generative AI development lifecycle
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FAQs
Why are we doing this?
DataKind UK encourages responsible, appropriate, and ethical use of data science, and works to inspire everyone else, too. We hope these meets will help you to think about this from day to day, wherever you encounter data. And, you'll enjoy some friendly discussion over a coffee or beer!
Do I need to be a data scientist to participate?
Not at all. We'll have a mix of technical and non-technical reading material. The aim is to think about data science in a context of ethical impacts and consequences - and that affects everybody!
I have a brilliant idea for reading material/a theme! Who do I tell?
We love suggestions! Tell us at contact@datakind.org.uk