IBM Wants To End Bias In Facial Recognition With New Analytics Dataset

Posted: Jun 28 2018, 6:34am CDT | by , Updated: Jun 28 2018, 3:06pm CDT, in Technology News


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IBM Wants to End Bias in Facial Recognition with New Analytics Dataset
  • IBM to release world’s largest facial analytics dataset

Facial Recognition Technology has its Inherent Faults which IBM wants to Remedy

The largest issue in facial recognition technology is the skewed readings. This has been termed bias. The system is tilted towards Caucasians and men in particular which is a shame. The paucity of diversification in the original dataset has led to this state of affairs.

People of color don’t seem to be underrepresented in the dataset. The only organization which seems to be doing something about this racist thinking is IBM. It has offered two novel datasets recently which are said to remove the curse of bias from facial recognition technology.

The first one of these has over a million faces. It will help in the spotting of such key areas as the hue of the hair, pupil color and hair on the jawline and upper lip. It will thus be easy to differentiate between various facial features.

While this dataset is not a record holder in terms of sheer quantity of stored images, it is the best we have so far. As for the second dataset, it is a curious collection of pictures. The number of images are less than the first one. The 36,000 pictures include a wide range of age ranks, races and gender varieties.

Most of the tags which are attached to these images allow the AI systems to recognize the facial features in a jiffy. No other dataset has the amount of variety and complexity afforded by these two.

The fact that minorities face a 35% bias while white men face a bias of 1% shows the skewed system. A remedy to this problem has been partially made thanks to IBM’s efforts.

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<a href="/latest_stories/all/all/20" rel="author">Sumayah Aamir</a>
Sumayah Aamir (Google+) has deep experience in analyzing the latest trends.




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