Vox article on bias in algorithms Flashcards

1
Q

What are “machine learning” tools ?

A

(machine learning is a type of artificial intelligence), it’s better to think about the idea of “training.” This involves exposing a computer to a bunch of data — any kind of data — and then that computer learns to make judgments, or predictions, about the information it processes based on the patterns it notices

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2
Q

What is a big issue with machine learning?

A

these systems are often applied to situations that have much more serious consequences than determining what a book is, and in scenarios where there isn’t necessarily an “objective” answer.

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3
Q

explains that we can think about algorithmic bias in two primary ways:

accuracy and impact

A

Accuracy:
An AI can have different accuracy rates for different demographic groups.

Impact:
Similarly, an algorithm can make vastly different decisions when applied to different populations

(impact diff communities differently)

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4
Q

How can AI be biased when unleased on the internet?

A

by teaching an artificial intelligence to crawl through the internet — and just reading what humans have already written — the system would produce prejudices against black people and women

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5
Q

What is Lily Hu’s opinion on the fundamental problem of machine learning?

A

“You don’t have any guarantees because your algorithm performs ‘fairly’ on your old dataset,” Hu told Recode. “That’s just a fundamental problem of machine learning. Machine learning works on old data [and] on training data. And it doesn’t work on new data, because we haven’t collected that data yet.”

(works on old biased data sets)

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6
Q

What is an intersectional critique on monitoring AI?

A

A tool may deemed fairly accurate on white women, for instance, but that doesn’t necessarily mean it works with black women.

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7
Q

What is a potential issue with the designers of AI?

A

AI tends to be dominated by men. And the “high tech” sector, more broadly, tends to overrepresent white people and underrepresent black and Latinx people

  • we need to think about who gets a seat at the table when these systems are proposed
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8
Q

Explain the issue of: Which questions we can even us AI for?

A

Ex. Ai wont ultimately address the ethical question of whether someone deserves parole

When you then insert an AI system, an algorithmic system, [or] a computer, that doesn’t change the fundamental context of the problem, which is that the problem has no objective answer. More about values and purpose of criminal system

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9
Q

What is a massive issue with AI?

A

Transparency (it’s basically a black box)

Ex. a husband and wife who both applied for an Apple Card — and got widely different credit limits
(even tho shared finances)

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10
Q

How can we regulate AI?

A

need new laws to regulate artificial intelligence, and some lawmakers are catching up on the issue. There’s a bill that would force companies to check their AI systems for bias

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11
Q

Do our old laws cover AI?

A

Sometimes!

whether the government is prepared to study and govern this technology, and figure out how existing laws apply

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12
Q

How is there a legal disconnect with developers and law makers?

A

“You have a group of people that really understand it very well, and that would be technologists,” Turner-Lee cautions, “and a group of people who don’t really understand it at all, or have minimal understanding, and that would be policymakers.”

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13
Q
A
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