Comments on: Bias in the machine: How can we address gender bias in AI? https://www.raspberrypi.org/blog/gender-bias-in-ai-machine-learning-biased-data/ Teach, learn and make with Raspberry Pi Fri, 25 Mar 2022 12:44:24 +0000 hourly 1 https://wordpress.org/?v=6.2.2 By: Marina Teramond https://www.raspberrypi.org/blog/gender-bias-in-ai-machine-learning-biased-data/#comment-1570316 Fri, 25 Mar 2022 12:44:24 +0000 https://www.raspberrypi.org/?p=78629#comment-1570316 Without any doubts, it is so cool that you covered this topic of gender bias in AI because, unfortunately, it is really widespread in our world and a lot of women face it, but we need to strive for eradicating this discrimination. You are absolutely right that gender inequality is everywhere despite huge and long struggle with this. Of course, it is so cool that developers and researchers of AI systems have been trying to establish rules for how to avoid bias in AI models and that there are certain measures which can help to change this situation, but I think that it is important to eradicate the problem of gender bias in AL on a global level. I think that it is important to be partial to this theme and expand people’s consciousness, giving them a huge awareness of gender bias in AL because it requires more attention. Also, creating equal opportunities at workplaces will be a great step for getting rid of gender bias in AL and it needs to be of paramount importance for employers.

]]> By: Salomey Afua Addo https://www.raspberrypi.org/blog/gender-bias-in-ai-machine-learning-biased-data/#comment-1570068 Mon, 21 Mar 2022 09:16:39 +0000 https://www.raspberrypi.org/?p=78629#comment-1570068 Very informative post! Thank you Dr Sue Sentance.

]]> By: Al Stevens https://www.raspberrypi.org/blog/gender-bias-in-ai-machine-learning-biased-data/#comment-1569600 Wed, 09 Mar 2022 11:37:42 +0000 https://www.raspberrypi.org/?p=78629#comment-1569600 In reply to Katharine Childs.

Thanks Katharine – it’s early days so we will keep working on this, and try to broaden engagement for next term / next year. Ironically, the main IT teacher is also my son’s class teacher, but she has sadly been off with long covid since October. So the (male) deputy head is helping out instead. We will get there!

]]> By: Harry Hardjono https://www.raspberrypi.org/blog/gender-bias-in-ai-machine-learning-biased-data/#comment-1569589 Tue, 08 Mar 2022 14:41:31 +0000 https://www.raspberrypi.org/?p=78629#comment-1569589 In reply to Harry Hardjono.

URL didn’t take? ramstrong.blogspot.com. The latest projects are done by coding on Raspberry Pi. I also have simpletongeek.blogspot.com, but that one is very technical as I show actual code with little explanations. I doubt many people would be interested. No motivation.

]]> By: Harry Hardjono https://www.raspberrypi.org/blog/gender-bias-in-ai-machine-learning-biased-data/#comment-1569588 Tue, 08 Mar 2022 14:32:04 +0000 https://www.raspberrypi.org/?p=78629#comment-1569588 In reply to Al Stevens.

I suggest trying out the steAm approach, instead of STEM. Why to code, is a much more important question than How to code. It provides motivation.

To balance gender, you must first identify the differences. Unfortunately, people who took such a step tend to suffer greatly, such as James Damore.

The picture on my March 7, 2022 blogspot on URL above is done by Super Awesome Sylvia’s Watercolor Bot by Evil Mad Scientist and Raspberry Pi. That is what exciting, instead of wrangling SVG on Inkscape, the software I use to create the picture.

]]> By: Katharine Childs https://www.raspberrypi.org/blog/gender-bias-in-ai-machine-learning-biased-data/#comment-1569587 Tue, 08 Mar 2022 14:15:37 +0000 https://www.raspberrypi.org/?p=78629#comment-1569587 In reply to Al Stevens.

Hi Al, great to hear that you’ve got a code club running at your school! Girls are generally well represented in our network of informal learning activities such as Code Clubs and CoderDojos, so there is definitely potential to increase the engagement of girls at your club. Three ideas to consider are:
1) encourage collaborative working such as paired programming, as research suggests girls value opportunities to interact with others with solving problems
2) have your club members work on projects with real-world applications that help to solve problems that are relevant to their lives and communities. Our projects paths are a great place to start: https://projects.raspberrypi.org/en/paths
3) look for opportunities to make sure girls and women are represented in computing at your school. This could be through teachers role modelling confidence in computing, using classroom displays to show a diverse group of people who work in computing careers or by encouraging older students to mentor younger ones.

]]> By: Al Stevens https://www.raspberrypi.org/blog/gender-bias-in-ai-machine-learning-biased-data/#comment-1569586 Tue, 08 Mar 2022 12:44:55 +0000 https://www.raspberrypi.org/?p=78629#comment-1569586 Still haven’t managed to get a single girl coming along to my new school ‘code club’, using the RPi 400. Do we need a different name, or something much more? 15 enthusiastic boys, zero girls, in a school with mostly-female teachers. Some things never seem to change, sadly.

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