Reducing AI Bias for a Fair Hiring Process

Reducing AI Bias for a Fair Hiring Process

Assessment

Interactive Video

Business

University

Hard

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The video discusses the issue of bias in hiring processes, particularly how ethnic names can affect job applications. The speaker shares a personal experience of changing their name to secure a job and highlights the need for solutions to eliminate bias. The proposed solution involves creating awareness and developing AI tools that objectively assess candidates based on skills and competencies. The video also explains the challenges of AI bias in the industry and the significance of the name 'Nakri', which means 'job' in several languages.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What prompted the speaker to realize the problem of bias in hiring?

A news article

A personal experience with job applications

A research study

A friend's suggestion

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal of the solution discussed by the speaker?

To increase company profits

To create awareness about hiring bias

To develop new AI algorithms

To improve employee satisfaction

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key feature of the AI solution being developed?

It is based on IO psychology

It is a closed-box system

It focuses on tokenism

It uses historical performance data

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the name 'nakri' signify?

A famous company

A cultural festival

A type of AI algorithm

The word 'job' in several languages

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why did Amazon have to scrap their AI resume screening tool?

It was not user-friendly

It was outdated

It was biased against female candidates

It was too expensive