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Can We Stop AI From Learning Harmful Biases?

Authored by Chandler Fry

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10 Questions

Can We Stop AI From Learning Harmful Biases?
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1.

MULTIPLE CHOICE QUESTION

30 sec • 15 pts

What is the primary concern when it comes to AI learning harmful biases?

(a) Loss of computational power
(b) Unintentional discrimination
(c) Faster processing speed
(d) Improved data storage

2.

MULTIPLE CHOICE QUESTION

30 sec • 20 pts

Which term refers to the unintentional favoring or discrimination towards certain groups in AI algorithms?

(a) Unconscious computing
(b) Algorithmic bias
(c) Randomized learning
(d) Neutral processing

3.

MULTIPLE CHOICE QUESTION

30 sec • 20 pts

What role does biased training data play in the development of biased AI systems?

(a) It has no impact
(b) It can reinforce and perpetuate biases
(c) It speeds up learning processes
(d) It ensures fairness

4.

MULTIPLE CHOICE QUESTION

30 sec • 20 pts

How can transparency in AI algorithms help mitigate harmful biases?

(a) It has no effect on biases
(b) It allows for better understanding and accountability
(c) It slows down the learning process
(d) It increases computational complexity

5.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What is the term for the process of evaluating and adjusting AI models to minimize biases?

(a) Biased normalization
(b) Bias detection and mitigation
(c) Algorithmic reinforcement
(d) Unsupervised learning

6.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Why is it important to involve diverse teams in AI development?

(a) It has no impact on bias reduction
(b) Diverse perspectives help identify and address biases
(c) It slows down the development process
(d) Homogeneous teams ensure better results

7.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Which ethical principle emphasizes the need for fairness and justice in AI systems?

(a) Algorithmic supremacy
(b) Ethical neutrality
(c) Fairness and accountability
(d) Technological autonomy

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