Paweł Kamiński
About me
I’m a generalist and have held different roles in different places throughout the years. I was a Policy Support Officer at a diplomatic mission, a European People’s Party trainee, a PR/PA consultant, and a jack-of-all non-technical task employee at ElevenLabs. I was an early joiner and my role ranged from all-around customer service to ops, did it all.
I am interested in a lot of subjects. Here are some books I have enjoyed over the years, which cover anything from history, physics, India, and self-development.
What am I doing now?
Currently, I am trying my utmost to read and learn about the many facets of AI policy and governance. There aren’t many Poles working on this subject nor is it well-covered in our media, so it’s an excellent topic to learn a couple of definitions so one can display their intellectual prowess to their family during Sunday lunch. Besides the obvious status rise of this self-education, AI policy requires some kind of knowledge of philosophy, history, computer science, Andrej Karpathy, politics, data privacy, copyright law, and more.
There is a lot to cover but it’s all connected and I have professional experience with most of the topics that cover AI policy. However, it seems, that to really delve into the subject one needs to read very widely and take courses, which have the benefit of testing your knowledge but also to meet like-minded peers. To structure my education, I borrowed some of the ideas from Tim Ferris’s article on How to Make Your Own Real-World MBA and I have decided to create my own little Master’s degree course - which remains unnamed but will have AI in it.
Why all this? Why make the effort and put in the work and climb this mountain? Well, I am internally compelled to the field of AI policy and I would like to eventually develop it in my home country. To do so, I need to equip myself with the toolset to make sense of the technological wave we are riding as a global society.
Here are some materials I found to be particularly helpful and around which I’ve structured my syllabous:
Courses (all of them are free and all the material is available):
- AI Safety, Ethics and Society developed by Dan Hendrycks. The course offers a free e-book, which is an excellent and accessible introduction to AI governance.
- Courses created by BlueDot. Most frequently recommended courses on the subject of AI policy can be found on their page. I completed their Introduction to Transformative AI course and I am about to start the Writing Intensive course. Hopefully, they will re-activate the Governance course soon.
- A more basic but fun course can be found on Elements of AI.
Reading:
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Guide to working to AI policy by 80,000hrs. Found this article to be the best source of information (and motivation) to really dig my heels into the subject.
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After reading the above guide, if you think you think you would like to get into AI Policy first read the book Superintelligence by Nick Bostrom. The way it’s written really test how far your brain has putrefazione.
- Human Compatible by Stuart Russell. More accessible than the above. Could make a good gift if you have a father/uncle who is a bookworm.
- Articles, books, videos and probably other sources selected by Allan Dafoe and his team in a document titled,
Reading Guide for the Global Politics of Artificial Intelligence. The document is 73 pages of recommendations! I am slowly yet steadily working through the list.
Please feel free to contact me on LinkedIn!