Exploring AI: Ethics and Implications

Exploring AI: Ethics and Implications

12th Grade

10 Qs

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Exploring AI: Ethics and Implications

Exploring AI: Ethics and Implications

Assessment

Quiz

Science

12th Grade

Easy

Created by

Roberta Consilvio

Used 1+ times

FREE Resource

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the main ethical concerns surrounding AI?

Increased creativity and innovation

Improved physical health

Bias and discrimination, privacy and surveillance, accountability and transparency, job displacement, misuse.

Enhanced communication skills

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can AI perpetuate bias in decision-making?

AI can perpetuate bias by using biased training data and flawed algorithms.

AI improves decision-making by using random data.

AI eliminates all forms of bias in decision-making.

AI relies solely on human intuition for decisions.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What measures can be taken to reduce bias in AI algorithms?

Limit the development team to a single demographic

Implement diverse datasets, conduct bias audits, involve diverse teams, use fairness-aware algorithms, ensure transparency, and monitor continuously.

Use only one dataset for training

Ignore feedback from users

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In what ways can AI impact data privacy?

AI has no effect on data collection methods.

AI can enhance data privacy by increasing data visibility.

AI can impact data privacy by influencing data collection, processing, security, anonymization, and compliance.

AI can only improve data storage efficiency.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of consent in data collection for AI?

Consent is irrelevant if data is anonymized.

Consent ensures ethical data collection and compliance with legal standards.

Consent allows unlimited data usage without restrictions.

Consent is only necessary for financial data.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can transparency in AI algorithms improve ethical standards?

Transparency in AI algorithms is irrelevant to ethical standards.

Transparency in AI algorithms eliminates all biases completely.

Transparency in AI algorithms guarantees perfect decision-making.

Transparency in AI algorithms improves ethical standards by fostering accountability, trust, and the identification of biases.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the potential consequences of biased AI systems?

Unfair treatment, perpetuation of stereotypes, poor decision-making, loss of trust, legal repercussions, and reputational harm.

Increased efficiency in decision-making

Enhanced public trust in technology

Improved accuracy in data analysis

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