TED: Machine intelligence makes human morals more important | Zeynep Tufekci

TED: Machine intelligence makes human morals more important | Zeynep Tufekci

Assessment

Interactive Video

Information Technology (IT), Architecture

11th Grade - University

Hard

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The transcript discusses the ethical implications of machine intelligence and algorithms in decision-making. It highlights the challenges of machine learning, such as lack of transparency and potential biases. The speaker emphasizes the need for algorithmic accountability and transparency, warning against outsourcing ethical responsibilities to machines. Real-world examples illustrate the risks of biased algorithms in hiring and legal systems, urging for scrutiny and ethical considerations in AI development.

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10 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What concerns did the speaker have regarding the ethics of science during their college years?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the implications of using algorithms for subjective decisions, as mentioned in the text?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What challenges does the speaker highlight regarding the transparency of complex algorithms?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the speaker describe the difference between traditional programming and machine learning?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

In what ways can algorithms impact hiring practices, as discussed in the text?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some potential biases that machine learning systems can reflect according to the speaker?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What example does the speaker provide to illustrate the potential consequences of biased algorithms in the criminal justice system?

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