"5 ways to get more women working in AI", 12 August 2021.

• Research suggests women account for only 26% of data and AI positions in the workforce;
• Increasing representation and diversity in AI development is crucial to producing better products of value to more people and avoiding biases;
• From supporting STEM education to addressing mentorship opportunities and gender pay gaps in AI, more women can be brought into the AI sector.

... Increasing diversity in AI development is crucial to delivering equitable outcomes.

Bias in AI is a real concern and it’s generating more attention. Gartner predicts that in 2022, 85% of AI projects will deliver erroneous 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... Diversity means including a variety of perspectives from different ethnicities, genders, ages, skills and experiences in the teams developing AI...

To help promote gender diversity, there are some basic steps companies and the larger community can take:

1. Support STEM education...
2. Showcase female AI trailblazers...
3. Mentor women for leadership roles...
4. Create equal opportunities...
5. Ensure a gender-equal reward system...