This discussion has been locked.
You can no longer post new replies to this discussion. If you have a question you can start a new discussion

When Bias in Product Design Means Life or Death

I've just read this fantastic post on the importance of considering diversity in product design and wanted to share it here:

https://www.linkedin.com/pulse/when-bias-product-design-means-life-death-carol-reiley


I won't copy everything over, but here are just a couple of the points made that I found particularly concerning:


"In the 1960s, the vehicular test crash protocol called for testing with dummies modeled after the average male with its height, weight, and stature falling in the 50th percentile. This meant seatbelts were designed to be safe for men and, for years, we sold cars that were largely unsafe for women, especially pregnant women. Consequently, female drivers are 47% more likely to be seriously injured in a car crash."


"Microsoft’s vision system was reported to fail to recognize darker skinned people. Today, one of the most prominent applications of computer vision is self-driving cars, which rely on these systems to recognize and make sense of the world around them. If these systems don’t recognize people of every race as human, there will be serious safety implications."


"White men viewing a crowd with 17% women perceived it to be 50–50, and when it was 33% women, they perceived it to be majority women. A simple overestimation like this illustrates how difficult it can be to see the world from another’s perspective."
Parents
  • The following was listed on another post (https://communities.theiet.org/communities/discussions/viewtopic/77/126/21368), but it fits in well with this topic too, so I thought I would add it to both.

     

    Abimbola Akanwo-Hood:



    I just came across this email from Imperia College: 

    Gendered Research and Inclusive Innovation



    As part of Diverse@Imperial week. The lecture will cover how understanding sex and gender makes STEM-research more effective and innovative.

    www3.imperial.ac.uk/.../event_13-1-2017-17-4-1


    It's open to all. The lecture is on 2nd Feb. Hope some people can attend.



     




    Thanks for adding this. I watched it as a live stream and it was incredibly interesting. It is available here: https://www.youtube.com/watch?v=JI3IhJB5FeY (NB. As it was filmed live, the video starts before the lecture does. The actual lecture starts about 9 minutes in to the video).


    The whole hour is definitely worth a watch, but particularly interesting were the comments on machine learning from large data sets and the results of the "'Man' is to 'Woman' as 'Computer Programmer' is to '__________'." section (about 29 minutes in) and the bike stealing experiment (about 50 minutes in).


    There are also some very interesting points raised too about how climate change is disproportionately disadvantageous to women and girls (eg. girls are more likely to have to fetch water and, in droughts, women and girls have to travel further in search of water therefore have less time available to spend on school and homework etc.) (this is about 31 minutes in).

Reply
  • The following was listed on another post (https://communities.theiet.org/communities/discussions/viewtopic/77/126/21368), but it fits in well with this topic too, so I thought I would add it to both.

     

    Abimbola Akanwo-Hood:



    I just came across this email from Imperia College: 

    Gendered Research and Inclusive Innovation



    As part of Diverse@Imperial week. The lecture will cover how understanding sex and gender makes STEM-research more effective and innovative.

    www3.imperial.ac.uk/.../event_13-1-2017-17-4-1


    It's open to all. The lecture is on 2nd Feb. Hope some people can attend.



     




    Thanks for adding this. I watched it as a live stream and it was incredibly interesting. It is available here: https://www.youtube.com/watch?v=JI3IhJB5FeY (NB. As it was filmed live, the video starts before the lecture does. The actual lecture starts about 9 minutes in to the video).


    The whole hour is definitely worth a watch, but particularly interesting were the comments on machine learning from large data sets and the results of the "'Man' is to 'Woman' as 'Computer Programmer' is to '__________'." section (about 29 minutes in) and the bike stealing experiment (about 50 minutes in).


    There are also some very interesting points raised too about how climate change is disproportionately disadvantageous to women and girls (eg. girls are more likely to have to fetch water and, in droughts, women and girls have to travel further in search of water therefore have less time available to spend on school and homework etc.) (this is about 31 minutes in).

Children
No Data