5 ways to get more women working in AI

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5 ways to get more women working in AI
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'The power of AI lies in its potential to improve lives, but this potential can only be realized if AI represents the entire population. Increasing diversity in AI development is crucial to delivering equitable outcomes.'

owing to bias in data, algorithms or the teams responsible for managing them. One of the more effective ways to address bias in AI is to engage diverse teams throughout the process. Diversity means including a variety of perspectives from different ethnicities, genders, ages, skills and experiences in the teams developing AI. Such diversity can enable AI teams to develop more products that can have a positive impact on a wider audience of users.

In order to engage girls early, Girl Scouts across the nation have been participating in extracurricular STEM education programmes aimed at increasing interest, confidence and competence in STEM. The organization has pledged to add Where mentorship programmes do exist in companies they’re often only available to leadership, but that’s starting to change. Now AI-supported apps are being used to connect entry and mid-level workers with mentors no matter their location. After using one such app, one company’s mentees indicated they had 218% more clarity toward their career path andImplicit biases in many companies’ recruiting processes pose another barrier to women from entering and advancing in AI.

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