Join 📚 Kevin's Highlights
A batch of the best highlights from what Kevin's read, .
**Are you aware of the risks?**
You need to know about the reasonably foreseeable risks and impact of your AI product before putting it on the market.
If something goes wrong – maybe it fails or yields biased results – you can’t just blame a third-party developer of the technology.
And you can’t say you’re not responsible because that technology is a “black box” you can’t understand or didn’t know how to test.
Keep Your AI Claims in Check
Federal Trade Commission
[](https://dezyre.gumlet.io/images/blog/real-world-data-engineering-projects-/Data_Engineering_Project_Structure.png?w=700&dpr=1.3%20%22Data%20Engineering%20Project%20Structure%22)
Data Engineering Projects for Beginners
ProjectPro
Python [decorators](https://realpython.com/primer-on-python-decorators/) are another popular and convenient use case for inner functions, especially for closures.
**Decorators** are higher-order functions that take a callable (function, method, class) as an argument and return another callable.
Python Inner Functions: What Are They Good For?
Real Python
...catch up on these, and many more highlights
Readwise