3 Matching Annotations
  1. Jan 2026
    1. Google Translate learns how to translate from the internet. Its ‘data miners’ scout the public web for data from which to learn. Along with language, AI learns that the number of male mechanics are more than that of female mechanics, and that the number of female nurses eclipses that of male nurses. It cannot differentiate between what is ‘true’ and what is a result of stereotyping and other prejudices. Thus, Google Translate ends up propagating what it learns, cementing stereotypes further1:

      This is a really interesting statement. The perpetuation of stereotypes and other predjudices through technology is something I had not thought of. This is an ecample of a negative side effect of AI.

    1. Under-utilisation of technology due to fear and ignorance Indiscriminate use that might lead to undesirable secondary effects

      These two extremes are very interesting to me. The villainization of technology stems from a healthy caution. Is it warranted? or does it then block one from moving forward. Indiscriminate use is just as much of an issue. There are a multitude of undesirable secondary effects that may occur. What are the worst ones statistically I would like to know.

    1. As for the task itself, yes, AI can perform some tasks better than humans. But even a child can beat the best AI in many others. AI has a long way to go before being able to supplant a human in a rich cognitive, social and cultural activity such as teaching. But it can help by adding to what a teacher is capable of doing. Experts speak of “An Augmented Human“3, which, in our case,

      My mother is an educator and I often disscuss with her the uses of AI in her classroom. The human element of edcation is of paramount importance as AI indeed has a long way to go before taking on such a large task. It's supplemental benefits are a positive though.