ARTICLE: Assess the size. 
Realistically estimate reading time.  Read abstract and first paragraph. Skim conclusion. Flip through. Write out section headings if appropriate. Sketch a mind map?

STOP

BOOK: Assess the size. Study the table of contents. Skim introduction and conclusion, first chapter and last. Flip through book. Skim the index.

~350-400 words/page

330 pages

200-250 words/minute

8-11 hours reading time

115,000-180,000 words

We must take caution that we do not find ourselves in a world where our systems do not allow what they cannot imagine - where they, in effect, enforce the limits of their own understanding.(327)

What major  point (or  finding) is here?

What are the major questions that the book/article wants to answer?

DON'T  refer back  to manuscript.   
DO focus on  "first  impressions" 

What  do  I  want from this?

STOP

WRITE IT DOWN.

The Alignment Problem

Book explains state of the field, what CS people are thinking about and what "critics" are thinking about. I can get an overview and sense of where the field is headed and I think come to understand some technical details too.

Zombie Algorithms

It's a philosophy article arguing in that style. Basic point: algorithms are not like people and so cannot be morally responsible. This means we have to make their creators or owners accountable. I will learn some philosophical concepts and how philosophers are participating in conversations about AI ethics.

Perhaps eschew highlighters.

Annotate

Underline. Write in margins.

High level outline or mindmap.

the hell out of everything you read

Do I have questions?

STOP

Three things I should remember

Major points made by author

Close book/article

Do I have criticisms?

Did your recite get it right?

Questions answered? Criticism still stand?

Look back over text and notes.

STOP

Write a 25 word summary of what the piece says and why it matters for this project or assignment.

Extra: draw the argument

5 minutes

Where does "responsible" in responsible AI "land"?  Moral zombie concept helps us see that until we invent machines that can be sentient, the humans behind the algorithms are accountable.

AI alignment means "values" of machines are consistent with human values. Lots happening recently and lots of problems still to solve.