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AI's Gendered Impact: Workforce Disruption and Inclusive Futures

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Manage episode 499886118 series 3673715
Content provided by Andre Paquette. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andre Paquette or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

The provided source explores the gendered impacts of artificial intelligence (AI) on the workforce, highlighting how AI's transformative power poses disproportionate risks to women's employment. It explains that occupational segregation places women in roles highly susceptible to automation while also concentrating them in low-wage "safe" jobs that offer little economic advancement. Furthermore, the text details how a gender gap in AI adoption and skills, coupled with algorithmic bias in AI systems, creates compounding barriers for women in the evolving job market. The source concludes by advocating for proactive policy, corporate responsibility, and inclusive upskilling frameworks to ensure a more equitable AI-powered future, emphasizing the need to move from a narrative of displacement to one of augmentation and human-AI collaboration.

Research done with the help of artificial intelligence, and presented by two AI-generated hosts.

  continue reading

337 episodes

Artwork
iconShare
 
Manage episode 499886118 series 3673715
Content provided by Andre Paquette. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Andre Paquette or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

The provided source explores the gendered impacts of artificial intelligence (AI) on the workforce, highlighting how AI's transformative power poses disproportionate risks to women's employment. It explains that occupational segregation places women in roles highly susceptible to automation while also concentrating them in low-wage "safe" jobs that offer little economic advancement. Furthermore, the text details how a gender gap in AI adoption and skills, coupled with algorithmic bias in AI systems, creates compounding barriers for women in the evolving job market. The source concludes by advocating for proactive policy, corporate responsibility, and inclusive upskilling frameworks to ensure a more equitable AI-powered future, emphasizing the need to move from a narrative of displacement to one of augmentation and human-AI collaboration.

Research done with the help of artificial intelligence, and presented by two AI-generated hosts.

  continue reading

337 episodes

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