Machine learning is much better at doing certain things than people, just as a dog is much better at finding drugs than people, but you wouldn’t convict someone on a dog’s evidence. And dogs are much more intelligent than any machine learning.
The problem with this statement is that we have convicted people on a dog’s evidence and later found that evidence to be faulty.
Outside of this issue, Benedict Evans provides a simple definition of artificial intelligence bias, scenarios of the potential bad effects of AI bias, and how we can mitigate those effects. Evans’ central point is a good one to keep in mind:
ML finds patterns in data – what patterns depends on the data, and the data is up to us, and what we do with it is up to us.
This is an interesting partnership probably arising from both startups being Y-Combinator alums. Paystack has gotten quite a lot of traction in Nigeria providing a payment platform similar to Stripe. Lambda provides software development training free of charge until folks get a job making at least $50k. After this, they’ll have to pay 17% of their salary for tuition over two years.
I’ve seen a lot of VCs pointing to Lambda as the chosen one to lead us into a new model for education based on this model. First – their not the only education business doing this, African Leadership University uses a similar model. Second, I worry that folks could still find themselves stuck with collectors hands in their pockets. I’d be curious to see what the income threshold will be for this Paystack partnership.
Russia’s State Atomic Energy Corporation has been aggressive about pushing nuclear development across Africa. Over the past five years, the company has been at various stages of talks with South Africa, Kenya, Zambia, and Ethiopia. It’ll be at least a decade before we see how all this plays out but it’s quite interesting.