Echoing oh54321's comment: personal fit really matters, and luckily, the field you're already interested in provides many opportunities to do good! If you don't want to turn your back to biology, you don't have to.

With that said, if you're looking for recommendations about AI...

• There are a couple of videos from the YouTube channel 3blue1brown that do a good job of explaining the basics of deep learning.
• In terms of current research, there's been some pretty fascinating (and biology-inspired!) work on interpretability. Two articles I'd recommend are Zoom In: An Introduction to Circuits which lays out some high-level ideas, and Multimodal Neurons in Artificial Neural Networks which reports findings from a real-world model.

A few people have mentioned retroactive public goods funding. I'd suggest broadening the scope a bit:

Better funding models for altruistic projects

Effective Altruism, Research That Will Help Us Improve

Market-oriented funding models are often a poor fit for altruistic projects due to the free-rider problem. On the other hand, traditional philanthropy is limited by available funding and uncertainty about how to best allocate it. Various mechanisms have been proposed to address these problems, including certificates of impact, mutual matching, quadratic funding, and others. We'd like to support work in this vein to (a) design new funding models, (b) evaluate them in small experiments, and/or (c) implement them at scale.

Scaling up carbon removal and other promising climate-related technologies before governments are willing to fund them. A lot like what Stripe and Shopify have been doing, but about an order of magnitude bigger. If the timing is right (I'm not sure it is) this strategy could get a fair bit of leverage by driving costs down and accelerating even larger-scale deployments.