Google Brain Residency

Of course, there are major ethical issues to work out—leaps forward in technology often walk a fine line between deeply-impactful and dystopian. Among the questions we need to figure out:

• Who is responsible for AI’s mistakes?


• Who is the creator of an AI work? Is it the AI? The developers? The person who wrote the prompt? The people whose work was use

... See more

With all the challenges in ethics and computation, and the knowledge needed from fields like linguistics, psychology, anthropology, and neuroscience, and not just mathematics and computer science, it will take a village to raise to an AI.

Why is Continuous Delivery for ML/AI hard(er)?

Since the challenge is not new and many valid solutions exist targeting traditional software projects, is there a reason to treat ML/AI systems any differently? Consider these three core challenges that are endemic in ML, AI, and data projects:

1. Development and debugging cycles are more tedious due to c

... See more