How to Improve Workforce Inclusion With Technology
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In its Gender Gap Report 2018, the World Economic Forum found that 78% of data science and AI professionals globally were male, while 22% were women.
I took some photos of several emerging HR Tech vendors using chatbots at a tech conference in Las Vegas and a clear trend emerged.
An app is just a tool - algorithms used on data – and it certainly isn’t gendered. Product designers struggle with the challenge that people respond better to an app that has human characteristics.
One suggestion is anonymising job descriptions and using tools to make tone and language more inclusive. Tweaking job descriptions will not shift centuries of conditioning, but achieving more balanced and cognitively diverse teams might improve design decisions.
Our experience of the pandemic is influenced by age, health, gender, ethnicity, location, wealth, and occupation. Some occupations have had more exposure to the risk of disease, for example in health care. In certain jobs like dental nurses and midwives, women make up 75% of the roles, with 20% from BAME compared to 11% of the working population.
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