Pronunciation Challenge Machine Learning and Human Bias

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Is there bias in machine learning?

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But just because something is based on data doesn't automatically make it neutral. Even with good intentions, it's impossible to separate ourselves from our own human biases, so our human biases become part of the technology we create in many different ways.

Key Vocabulary

1. be based on

be based on

[beɪs] (ph.)

basic

[ˈbeɪsɪk] (adj.)

basically

[ˈbeɪsɪkli] (adv.)

2. automatically

automatically

[ˌɔːtəˈmætɪkli] (adv.)

automatic

[ˌɔːtəˈmætɪk] (adj.)

auto-

[ˈɔːtəʊ] (prefix.)

atomic

[əˈtɒmɪk] (adj.)

3. neutral

neutral

[ˈnjuːtrəl] (adj.)

objective

[əbˈdʒektɪv] (adj.)

subjective

[səbˈdʒektɪv] (adj.)

4. bias

bias

[ˈbaɪəs] (n.)

biased

[ˈbaɪəst] (adj.)

prejudice

[ˈpredʒʊdɪs] (n.)