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Everyday AI Podcast – An AI and ChatGPT Podcast

EP 219: Rebuilding The Staffing Industry: How to get more women in AI roles

26 min1 mars 2024

How can we get more women in AI roles? It's an important conversation we need to have, especially in the IT and tech space in the US. Dona Fanara, VP of Women Impact Tech, joins us to discuss how we can rebuild the staffing industry and get more women into AI roles.

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Related Episodes:
Ep 127: How AI is Impacting All Aspects of HR
Ep 139: How To Transition to an AI-First World

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
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Timestamps:
02:20 About Dona and Women Impact Tech
03:45 Why are tech roles skewed towards men?
09:39 AI roles need strong communication skills, gender differences.
13:45 Gender biases in tech require corporate action.
17:38 Encouraging creation of women-focused tech employee groups.
20:40 Seek practical tips for addressing systemic problems.
23:45 Support early education for women in AI.

Topics Covered in This Episode:
1. Getting More Women in AI Roles
2. Challenge of Gender Imbalance in AI and Tech Roles
3. Traits for Success in AI and Tech Roles
4. Advice for Women Breaking into Tech and AI Roles

Keywords:
women in AI roles, stereotypes, tech and IT roles, US, generative AI, newsletter, artificial intelligence, AI news, website, unbiased information, AI in career, AI in sales, AI in entrepreneurship, rebuilding the staffing industry, women in AI roles, Women Impact Tech, corporate partnerships, talent solution company, regional events, Chicago, San Francisco, New York, virtual events, membership program, job board, bias, technical roles, global, men, women, leadership roles, technologists

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Start Here ▶️

Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com 

Also, here's a link to the entire series on a Spotify playlist

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